Search results for Information Assurance

    Found 154 documents, 10322 searched:

  • How Can Machine Learning Affect Your Organizational Data Strategy?

    ...models and enhance themselves. Both in administered and semi-managed learning forms, the learning calculation needs to depend on the exactness of the information and yield information. In this way, it is essential that the information is spotless, steady, and exact. This is the place authoritative...

    https://www.kdnuggets.com/2017/10/machine-learning-affect-organizational-data-strategy.html

  • Exclusive Interview: Doug Laney on Big Data and Infonomics

    ...to using it to improve top or bottom line results via process improvements. Generating measurable economic benefits from or attributable to available information assets. Managing information as an asset involves applying traditional asset management principles and practices to information. This can...

    https://www.kdnuggets.com/2018/01/exclusive-interview-doug-laney-big-data-infonomics.html

  • Creating Curious Machines: Building Information-seeking Agents

    ...es, your friends can quickly narrow down the set of viable items until one correctly guesses ‘cat’. This example demonstrates the iterative nature of information seeking: the information currently sought must be intelligently conditioned on the information already acquired. To be effective, an...

    https://www.kdnuggets.com/2017/01/maluuba-creating-curious-machines-information-seeking-agents.html

  • KDnuggets Privacy Policy

    ...nuggets newsletter. Cookies We, and some of our partners who provide some of the services and products on our site, may use cookies to record session information, such as information on what pages users access or visit, record past activity at a site in order to provide better service when you...

    https://www.kdnuggets.com/news/privacy-policy.html

  • U. of Illinois at Urbana-Champaign: Open Rank Faculty Positions

    ...until after the search has closed. We especially welcome applications from members of under-represented groups working in these or other areas of the information sciences. For further information regarding application procedures, you may contact Candy Edwards cledward@illinois.edu or call...

    https://www.kdnuggets.com/jobs/17/10-09-illinois-faculty-positions.html

  • 2019 Best Masters in Data Science and Analytics – Europe Edition

    ...ack of this program, you will learn how to engineer and develop systems capable of processing and interpreting massive data sets to extract important information. Fundamental and practical issues of the analysis of data will be addressed, including e.g. security of data and software, visualization...

    https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.html

  • How to do Everything in Computer Vision

    ...nbsp; Segmentation   Segmentation is one of the more unique tasks in computer vision in that the networks need to learn both low- and high-level information. Low-level information to accurately segment each area and object in the image by the pixel, and high-level information to directly...

    https://www.kdnuggets.com/2019/02/everything-computer-vision.html

  • AI for Fun & Profit: Using the new Genie Cognitive Computing Platform for P2P Lending

    ...ation in the data. (It turns out that P1's solution contained the highest Information Score. P2 and P3 had 376.70, P4 had 93.04.) More about both the Information Score and Information Profile can be found here. The next two sections provide key indicators resulting in loan paybacks ("10 Most...

    https://www.kdnuggets.com/2016/07/ai-fun-profit-genie-cognitive-computing.html

  • GuideOne: Enterprise Information Architect

    ...ess strategy Lead the governance of the company's data and information assets Establish and promote effective processes and a culture for strong data/information quality Develop new data/information assets to support company strategies such as becoming more customer focused Collaborate with Data...

    https://www.kdnuggets.com/jobs/16/09-02-guideone-enterprise-information-architect.html

  • Text Analysis, Text Mining, and Information Retrieval Software

    ...ch. TextQuest, text analysis software Treparel KMX Text Analytics delivers fast and powerful search, clear visual insights and advanced analytics for information professionals, information consumers and in OEM partnerships. Readware Information Processor for Intranets and the Internet, classifies...

    https://www.kdnuggets.com/software/text.html

  • Syracuse iSchool: Faculty Positions, Tenure Track in Information Science

    ...s, 650 masters' students and 650 undergraduates, led by over 40 full-time faculty and 100 part-time faculty. Our faculty have recognized strengths in information retrieval, information management, library programs and services, natural language processing, computational social science, online...

    https://www.kdnuggets.com/jobs/15/09-14-syracuse-ischool-faculty-positions.html

  • Best Masters in Data Science and Analytics – Europe Edition

    ...you are enjoying these series of unbiased posts regarding higher education in Data Science and analytics. We have done our best in compiling as much information as we can and we hope we have provided crucial information on this extremely popular topic. You may find more detailed information on...

    https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-europe.html

  • 70 Amazing Free Data Sources You Should Know">Silver Blog70 Amazing Free Data Sources You Should Know

    ...Capterra: Directory about business software and reviews. Monster: Data source for jobs and career opportunities. Glassdoor: Directory about jobs and information about inside scoop on companies with employee reviews, personalized salary tools, and more. The Good Garage Scheme: Directory about car...

    https://www.kdnuggets.com/2017/12/big-data-free-sources.html

  • Generative Adversarial Networks – Key Milestones and State of the Art

    ...o transfer that knowledge into the latent space. Then we extract that intelligence from the latent space using our decoder and append the transformed information to our original data set. The result is a new, larger data set that is bolstered by information from a variety of sources, but which...

    https://www.kdnuggets.com/2019/04/future-generative-adversarial-networks.html

  • How to Capture Data to Make Business Impact

    ...f the underlying field of study (and a bit of luck too). Capturing noise has a side effect: the more noise we store, the more difficult it is to find information in the captured data. It is like a needle (information) in a haystack (noise). Even if we would easily tell the difference between a...

    https://www.kdnuggets.com/2019/03/capture-data-make-business-impact.html

  • Introduction to Natural Language Processing, Part 1: Lexical Units

    ...sentations of information, parsing that information from the data generating process, and constructing, storing, and using data structures that store information — to information embedded in natural languages. What makes a language natural is precisely what makes natural language processing...

    https://www.kdnuggets.com/2017/02/datascience-introduction-natural-language-processing-part1.html

  • Text Preprocessing in Python: Steps, Tools, and Examples

    ...port Fast and memory efficient processing of large corpora  [47] Collocate, Athelstan Uses statistical analyses (t-score, log likelihood, Mutual Information) and frequency information to present a list of candidate collocations Application Educational Price. Single user: $45 Searches for a...

    https://www.kdnuggets.com/2018/11/text-preprocessing-python.html

  • Most Viewed Text Mining Lectures

    ...h) Text Mining, Information and Fact Extraction (TMIFE), Marie-Francine Moens, 2091 views, 7:44:46 (November 4, 2008, at 2nd Russian Summer School in Information Retrieval (RuSSIR), Taganrog 2008) Information Retrieval and Text Mining, Thomas Hofmann, 1889 views, 3:24:32 (February 25, 2007, at...

    https://www.kdnuggets.com/2014/09/most-viewed-text-mining-talks-videolectures.html

  • Syracuse University: Information Studies – Open-Rank Tenure-Track Faculty (Four Positions) (Syracuse, NY)

    ...the development of students and courses in our degree programs in information management and technology, data science and data analytics, library and information science (including school media) and information science and technology. The successful candidates will join our “Faculty of One”: a...

    https://www.kdnuggets.com/jobs/18/08-16-syracuse-university-information-studies.html

  • An Inside View of Language Technologies at Google

    ...earch, which allows me and my colleagues to innovate in various different areas where we have experience. In my case, I have worked over the years on information extraction, event extraction, text summarization and information retrieval, and all of these come together for question answering --...

    https://www.kdnuggets.com/2015/10/seth-grimes-language-technologies-google.html

  • 2019 Best Masters in Data Science and Analytics – Online

    ...ackgrounds who want to deepen their analytical skills and move into senior business analyst positions. 24 $67575 ($62500) 4 (4) UC Berkeley Master of Information and Data Science The Master of Information and Data Science (MIDS) delivered online prepares data science professionals to be leaders in...

    https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-online.html

  • Kent State University: Faculty Tenure-Track – Management and Information Systems

    ...w.kent.edu Position: Faculty Tenure-Track - Management and Information Systems _Contact_: Apply online. Opportunity: The Department of Management and Information Systems (M&IS) at Kent State University seeks qualified applicants for an open tenure-track position at the rank of...

    https://www.kdnuggets.com/jobs/18/06-19-kent-state-faculty-management-information-systems.html

  • An Introduction to Monte Carlo Tree Search

    ...e Agency for planning interplanetary flights. Perfect Information Games Monte Carlo Tree Search is an algorithm used when playing a so-called perfect information game. In short, perfect information games are games in which, at any point in time, each player has perfect information about all event...

    https://www.kdnuggets.com/2017/12/introduction-monte-carlo-tree-search.html

  • The Analytics of Digital Transformation, according to TCS

    ...uages on these gadgets is also a contributing factor to the increased user base and increased content generation. News channels and other traditional information sources have also adopted social media for information dissemination, thereby paving the way for study of people’s reactions to policies...

    https://www.kdnuggets.com/2014/11/analytics-digital-transformation-tcs.html

  • Big Data: Main Developments in 2017 and Key Trends in 2018">Silver BlogBig Data: Main Developments in 2017 and Key Trends in 2018

    ...principles and practices (e.g. supply chain, ITAM, records management) toward managing information as an actual asset. This will include inventorying information, measuring information management maturity, and eventually lead to extended information ecosystems among partners. The formal, proactive...

    https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

  • Monash: Academic Opportunities in Information Technology

    ...support the principles of the Athena SWAN Charter. Applications from female candidates are strongly encouraged. Please visit our webpage for further information on the key areas in which the Faculty of Information Technology is recruiting exceptional Academics:...

    https://www.kdnuggets.com/jobs/17/10-12-monash-academic-opportunities.html

  • How Big Data and New Technologies Are Changing Aging

    ...ta. As we venture into the future, things will continue to shift in novel ways. One of the primary needs is and will continue to be data analysts and information security specialists who can actually ensure that forward motion continues, and that it does so productively and safely. The wealth of...

    https://www.kdnuggets.com/2017/12/big-data-changing-aging.html

  • Avoiding Obvious Insights Using Analyze With Insight Miner

    ...imensionality, and reducing overfitting. While there are many feature selection techniques, we’ll focus on mutual information based technique. Mutual information is a measure taken from information theory that measures the mutual dependence of two random variables. Intuitively, mutual information...

    https://www.kdnuggets.com/2019/04/sisense-insight-miner.html

  • Syracuse University: Four Assistant Professor (Tenure Track) Faculty Positions – Information Studies [Syracuse, NY]

    ...the development of students and courses in our degree programs in information management and technology, data science and data analytics, library and information science (including school media), and information science and technology. The successful candidates will join our “Faculty of One”: a...

    https://www.kdnuggets.com/jobs/19/08-19-syracuse-assistant-professor-information-studies.html

  • The Complete Data Science LinkedIn Profile Guide

    ...applicant – Chris Harrison – Senior Consultant (Data Science, Machine Learning, Artificial Intelligence, Deep Learning, NLP & Big Data) The more information is available from an applicant, the better. The less information you have available on your profile, the lower the chances of your...

    https://www.kdnuggets.com/2019/11/data-science-linkedin-profile-guide.html

  • Neural Code Search: How Facebook Uses Neural Networks to Help Developers Search for Code Snippets

    ...ode. To address this limitation, a team from Facebook AI Research (FAIR) has been working on an approach to use natural language processing (NLP) and information retrieval (IR) to infer search-relevant information directly from the source code text. The first materialization of the FAIR team...

    https://www.kdnuggets.com/2019/07/neural-code-facebook-uses-neural-networks.html

  • Kent State University: Assistant/Associate Professor – Business Analytics/Information Systems [Kent, OH]

    ...ate University seeks qualified candidates to apply for a non-tenure-track position at the rank of Assistant/Associate Professor in Business Analytics/Information Systems effective fall 2019. The ideal candidate will be qualified to teach undergraduate and graduate courses in business...

    https://www.kdnuggets.com/jobs/18/12-19-kent-state-university-faculty.html

  • NYU Stern: 2019-20 Asst. Professor of Information, Operations & Management Sciences – Information Systems, tenure-track [New York City, NY]

    ...hool of Business Location: New York City, NY Web: www.stern.nyu.edu _Contact_: Apply online here The Information Systems faculty in the Department of Information, Operations & Management Sciences at the Stern School of Business, New York University, invites applications for a tenure-track...

    https://www.kdnuggets.com/jobs/18/11-14-nyu-assistant-professor-information-operations-management-sciences.html

  • Big Data Analytics for Lenders and Creditors

    …f a characteristic, the characteristic’s predictive power, i.e. its ability to separate high risks from low risks, can be assessed with the so-called Information Value measure. This will aid the selection of characteristics for inclusion in the scorecard. The Information Value is the weighted sum…

    https://www.kdnuggets.com/2015/10/big-data-analytics-lenders-creditors.html

  • Deep Learning Research Review: Natural Language Processing">Silver Blog, 2017Deep Learning Research Review: Natural Language Processing

    ...memory networks. The intuitive idea is that in order to accurately answer a question regarding a piece of text, you need to somehow store the initial information given to you. If I were to ask you the question “What does RNN stand for”, (assuming you’ve read this post fully J) you’ll be able to...

    https://www.kdnuggets.com/2017/01/deep-learning-review-natural-language-processing.html

  • Doing Data Science: A Kaggle Walkthrough Part 4 – Data Transformation and Feature Extraction

    ...to 163 columns. Although this seems like a lot more information, most of this expansion was caused by the One Hot Encoding, which is not adding more information, but simply expanding out the existing information. We have not added any external data, and I didn’t even really investigate what...

    https://www.kdnuggets.com/2016/06/doing-data-science-kaggle-walkthrough-data-transformation-feature-extraction.html

  • Interviews with Data Scientists: Claudia Perlich

    ...instance linear models cannot unless you add them. In order to learn anything from it, it has to appear multiple times. If it does not – blending in information de facto replaces the super high-dimensional identifier space (ZIP and date combination) with a much lower common space of say n features...

    https://www.kdnuggets.com/2016/12/interviews-data-scientists-claudia-perlich.html

  • Challenge Yourself to Think, Mar 19-22, Las Vegas

    ...f Executive Officer & Founder Jibes, Jibes Jeff Jonas, Chief Executive Officer, Founder & Chief Scientist, Senzing Inc. Ferd Scheepers, Chief Information Architect, ING Ram Nagappan, Chief Information Officer, Bank of New York Mellon Pershing Jorge Bandin, Chief Information Officer,...

    https://www.kdnuggets.com/2018/02/corinium-ibm-think-march-las-vegas.html

  • Education in Analytics, Data Science, Machine Learning in USA/Canada – Degree Programs

    ...cs and social value associated with big data collection and usage. Dubuque, IA. U. of Iowa, Tippie College of Business - BA in Business Analytics and Information Systems, combining foundational knowledge in business analytics and information systems with extensive practical experience. Iowa City,...

    https://www.kdnuggets.com/education/usa-canada.html

  • Overview of Different Approaches to Deploying Machine Learning Models in Production

    ...essages. When a new message is retrieved by the prediction app, it will request and retrieve the customer profile and use the message and the profile information to make a prediction. which it will ultimately push back to the customer profile for further use. A slightly different flow can be setup...

    https://www.kdnuggets.com/2019/06/approaches-deploying-machine-learning-production.html

  • Information Management 10 IT Security Books for Big Data Scientists

    …with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data 1st Edition, by multiple authors Analytic techniques…

    https://www.kdnuggets.com/2015/08/information-management-security-books-big-data-scientists.html

  • University of Cincinnati: Assistant Professor – Educator, Information Systems [Cincinnati, OH]

    ...36007 (https://bit.ly/2BA4eIo). Attach the following documents to your APPLICATION. Cover Letter CV/Resume List of references (3) – names and contact information. Should we move forward with your application we will contact references Two page narrative describing your teaching and education...

    https://www.kdnuggets.com/jobs/19/03-20-university-of-cincinnati-assistant-professor.html

  • Elsevier: Machine Learning Scientist

    ...entity linking and clustering processes targeting specific problems in data curation, author and article identification, deduplication, matching and information retrieval, and improved filtering of information for relevance. Working together You will be working in Elsevier Operations with a varied...

    https://www.kdnuggets.com/jobs/17/10-09-elsevier-machine-learning-scientist.html

  • KDnuggets Interview with Jon Kleinberg, revisited

    ...e of use, and what that will be. The informational and economic aspects raise many appealing questions. Essentially, when viewed as tools for finding information and getting questions answered, these sites are part of the broader trend toward information-seeking based on the knowledge possessed by...

    https://www.kdnuggets.com/2013/07/kdnuggets-interview-with-jon-kleinberg-revisited.html

  • Data Science Interview Guide

    ...n tactic to fix over-fitting problems). The Information Gain calculated to split the tree is important. COMMON INTERVIEW PROBLEM! ENSURE YOU KNOW HOW INFORMATION GAIN IS CALCULATED!!! The common Information Gain calculation functions are Gini and Entropy. What is important in the above curve is...

    https://www.kdnuggets.com/2018/04/data-science-interview-guide.html

  • KDnuggets Interview with Jon Kleinberg, revisited

    …e of use, and what that will be. The informational and economic aspects raise many appealing questions. Essentially, when viewed as tools for finding information and getting questions answered, these sites are part of the broader trend toward information-seeking based on the knowledge possessed by…

    https://www.kdnuggets.com/2013/07/kdnuggets-interview-with-jon-kleinberg-revisited.html

  • UW Tacoma, The Milgard School of Business: Director, Center for Information Based Management

    ...lytic projects, developing relations with community stakeholders, as well as the ability to teach in one or more of the following fields: statistics, information systems and technology, operations research and business analytics. Core responsibilities of the position will be to launch and lead the...

    https://www.kdnuggets.com/academic/15/04-07-uwtacoma-director-center-information-based-management.html

  • Text Mining 101: Mining Information From A Resume">Silver Blog, May 2017Text Mining 101: Mining Information From A Resume

    …ot only in different file formats (txt, doc, pdf, etc.) but also with different contents and layouts. Such heterogeneity makes extraction of relevant information, a challenging task. Even though it may not be possible to fully extract all the relevant information from all the types of formats, one…

    https://www.kdnuggets.com/2017/05/text-mining-information-resume.html

  • Careful! Looking at your model results too much can cause information leakage

    ...he model is improved, but you have used information about the test set to feed into the model. Information has been leaked between the groups.   Information Leakage   Information leakage is when information from a sealed system leaks out somewhere it shouldn’t. This is a term often used...

    https://www.kdnuggets.com/2019/05/careful-looking-model-results-cause-information-leakage.html

  • Customer Segmentation for R Users

    ...selected products and the groups we matched after scraping: Now we can switch from 3883 “Description” values to 41 “Category” values. Let’s use this information to create new sets of variables that store information about how much each customer spends in each category. We now have our final...

    https://www.kdnuggets.com/2019/09/customer-segmentation-r-users.html

  • Can graph machine learning identify hate speech in online social networks?

    ...s, we can correctly identify more hateful users for the same low number of misclassified normal users. We can conclude that by using the relationship information available in the data, as well as the unlabelled user information, the performance of a machine learning model on sparsely labelled...

    https://www.kdnuggets.com/2019/09/graph-machine-learning-hate-speech-social-networks.html

  • Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey">Gold BlogBest Online Masters in Data Science and Analytics – a comprehensive, unbiased survey

    ...me, please add in comments and we will update the table. Table 1: Online Masters in Analytics, Data Science. CS Rank is Top Universities Computer and Information Systems graduate programs rank for ranks 1-50. They give individual CS rankings for top 50 schools, and then ranges (51-100, 101-150,...

    https://www.kdnuggets.com/2017/11/best-online-masters-analytics-data-science.html

  • Blockchains and APIs

    ...systems. In the coming era, Individuals themselves i.e; the Voluntary information/data that we provide are the emerging source of kind of intriguing information apart from existing methodology of receiving information through connected devices. For Instance, recently the Unites States (U.S) fast...

    https://www.kdnuggets.com/2018/03/blockchains-apis.html

  • CRN 50 Big Data Business Analytics Companies

    ...the results. Irvine, CA. Founded 2010. Attivio is a major player in the area of "unified information access," integrating structured and unstructured information from such sources as ERP and CRM systems, emails, content management systems and social media networks, making that information...

    https://www.kdnuggets.com/2014/06/crn-50-big-data-business-analytics-companies.html

  • Business Analytics & Business Intelligence Online Certificates & Degrees

    ...cs courses set the foundation for applied business analytics courses plus a capstone experience.  24 months  $45,756 Northwestern U. MSc in Information Systems with conc. in Analytics & BI  [Curriculum]  MSIS program trains students in information systems methodologies, with...

    https://www.kdnuggets.com/2015/08/business-analytics-bi-online-certificates-degrees.html

  • CUNY: Distinguished Lecturer – Data Analytics and Information Systems

    ...orts and create strategic plans for further program development; teach in the program; and work closely with faculty and students. The online B.S. in Information Systems degree program focuses on five components of information systems: processes, people, data, infrastructure, and design and on the...

    https://www.kdnuggets.com/academic/15/01-05-cuny-distinguished-lecturer-data-analytics-information-systems.html

  • Medical Image Analysis with Deep Learning , Part 4

    ...ata in DICOM format. A DICOM file consists of a header and the image data in the same file (*.dcm). The size of the header depends on how much header information is provided. The header contains information such the Patient Id, Patient Name, Modality and other information. It defines also how many...

    https://www.kdnuggets.com/2017/07/medical-image-analysis-deep-learning-part-4.html

  • What is Web Scraping and Why You Should Learn It?

    ...ctrical/Electronic Manufacturing; Government Administration…etc. Finding 2: Non-tech Jobs are Requiring Web Scraping Skills This is also based on the information on LinkedIn. There is no doubt that the most jobs requiring web scraping are tech-relevant ones, like Engineering, and Information...

    https://www.kdnuggets.com/2018/09/octoparse-web-scraping.html

  • Are physicians worried about computers machine learning their jobs?

    …dical errors. Journal of health care finance, 39(1), 39. Ash2004JAMIA: Ash, J. S., Berg, M., & Coiera, E. (2004). Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. Journal of the American Medical Informatics…

    https://www.kdnuggets.com/2017/08/are-physicians-worried-about-computers-machine-learning-their-jobs.html

  • Data Capture – the Deep Learning Way

    ...itectures originally designed for scene understanding tasks in computer vision - a page is our scene, an approach completely unrelated to traditional information extraction. Precise reading When we identify multiple focal points on the page, it is time to precisely read and evaluate the...

    https://www.kdnuggets.com/2018/09/data-capture-deep-learning-way.html

  • Let’s Admit It: We’re a Long Way from Using “Real Intelligence” in AI

    ...complex technology, designed, built and supported by data scientists and specialized software engineers to identify, extract, process and present the information necessary to solving a specific business problem in a fast and user-friendly way. Always remember: Information that’s out-of-date,...

    https://www.kdnuggets.com/2018/04/admit-long-way-from-using-real-intelligence-ai.html

  • Inside Pluribus: Facebook’s New AI That Just Mastered the World’s Most Difficult Poker Game

    ...imperfect-information environment which means that players never have a complete picture of the game. No other game embodies the challenge of hidden information quite like poker, where each player has information (his or her cards) that the others lack. Additionally, an action in poker in highly...

    https://www.kdnuggets.com/2019/08/inside-pluribus-facebooks-new-ai-poker.html

  • Bayesian Basics, Explained">Silver BlogBayesian Basics, Explained

    ...sian methods are often characterized as “subjective” because the user must choose a “prior distribution,” that is, a mathematical expression of prior information. The prior distribution requires information and user input, that’s for sure, but I don’t see this as being any more “subjective” than...

    https://www.kdnuggets.com/2016/12/bayesian-basics-explained.html

  • How Concerned Should You be About Predictor Collinearity? It Depends…

    ...rlap in the information provided by the two predictors increases, the amount of information specific to each predictor decreases. This overlap in the information between the two predictors means that the amount of information specific to each of these two predictors that each row of the data...

    https://www.kdnuggets.com/2019/08/predictor-collinearity.html

  • Neural Networks with Numpy for Absolute Beginners: Introduction

    ...earing, creative thinking and so on. This is because the neurons belonging to a specific region in the brain are trained to process a certain kind of information better and hence get activated only when certain kinds of information is being sent. The figure below gives us a better understanding of...

    https://www.kdnuggets.com/2019/03/neural-networks-numpy-absolute-beginners-introduction.html

  • Ontology and Data Science">Silver BlogOntology and Data Science

    ...en we think of data and information, it’s possible to set up a framework to study data and its relation to other data. In this framework we represent information in an especially useful way. Information represented in a particular formal ontology can be more easily accessible to automated...

    https://www.kdnuggets.com/2019/01/ontology-data-science.html

  • Understanding Decision Trees for Classification in Python

    ...ponding split point that results in the largest information gain (IG) for a given criterion (gini or entropy in this example). Loosely, we can define information gain as IG = information before splitting (parent) — information after splitting (children) For a clearer understanding of parent and...

    https://www.kdnuggets.com/2019/08/understanding-decision-trees-classification-python.html

  • Interview: Piero Ferrante, BCBS on Why Healthcare is Rich in Data but Poor in Information

    ...us understand a wide range of scenarios for different books of business. AR: Q2. Healthcare is often referred to as a sector rich in data and weak in information. Do you agree? What are the biggest challenges in leveraging healthcare data? PF: That’s fair to say. I define analytics as the...

    https://www.kdnuggets.com/2014/07/interview-piero-ferrante-bcbs-kansas-city-healthcare-analytics.html

  • Lynn Goldstein, Chief Data Officer, NYU on the Need for Data Governance

    ...re leveraging Cloud Computing. How does that impact data governance? LG: I do not think that cloud computing changes anything; fundamentally the same information management and accountability principles apply in the cloud context. Information in the hands of a third party needs to be managed with...

    https://www.kdnuggets.com/2014/06/interview-lynn-goldstein-chief-data-officer-nyu-data-governance.html

  • Are Big Data and Privacy at odds? FICO Interview

    ...What is your opinion of personal data marketplaces? (for example Datacoup start-up gives people $8/month in exchange for access to their social media information.) AJ: I expect to see more of this trend. People realize there’s value in their information, and they want to know how they can get a...

    https://www.kdnuggets.com/2014/04/big-data-vs-privacy-fico-interview.html

  • UC Berkeley Master of Information and Data Science, Online

    UC Berkeley School of Information’s Master of Information and Data Science The Master of Information and Data Science (MIDS) is a degree program delivered online for professionals looking to become leaders in the field of data science. The program features a multidisciplinary approach that...

    https://www.kdnuggets.com/2014/04/berkeley-ms-information-data-science-online.html

  • Big Data Innovation Summit 2014 Toronto: Day 2 Highlights

    ...t market is currently bullish on Big Data. Shirin stated that there are 2 approaches in Analytics, which she referred to as "Stone Age" approach and "Information Age" approach. She shared the following anonymous quote: “The Stone Age was marked by the clever use of crude tools; the Information Age...

    https://www.kdnuggets.com/2014/08/big-data-innovation-summit-2014-toronto-day2.html

  • Machine Learning and Misinformation

    ...each other, but it also poses an enormous threat with the creation and dissemination of disinformation and misinformation. The difference between disinformation and misinformation is intent; disinformation is created with a malicious intent while misinformation is communicated without knowing the...

    https://www.kdnuggets.com/2017/07/machine-learning-misinformation.html

  • Social Media for Marketing and Healthcare: Focus on Adverse Side Effects

    …n that people share on social media is not limited to beautiful pictures, links to different websites and funny statuses. There is much more valuable information, and personal health issues are part of it. Social media posts may contain information about adverse effects (AEs) and thus play a vital…

    https://www.kdnuggets.com/2017/01/social-media-marketing-healthcare-focus-adverse-side-effects.html

  • More Free Data Mining, Data Science Books and Resources

    ...Techniques and Applications by Nada Lavrac and Saso Dzeroski, 1994.An old book about inductive logic programming with great theoretical and practical information, referencing some important tools. Information Theory, Inference, and Learning Algorithms by David MacKay, 2009.An interesting approach...

    https://www.kdnuggets.com/2015/03/free-data-mining-data-science-books-resources.html

  • 3 Key Ethics Principles for Big Data and Data Science

    ...ub Sensitive Data Employees in the information science field must comprehend what data is personal and delicate and identify the ways to utilize such information. When information on consumers is collected without consent, it must be scrubbed of insight that can cause the figures to be personally...

    https://www.kdnuggets.com/2016/07/ethics-principles-big-data-science.html

  • Doing Data Science: A Kaggle Walkthrough Part 2 – Understanding the Data

    ...e users in both the testing and training datasets above. With this information in mind, an easy first step in understanding the data is reviewing the information provided by the data provider – Airbnb. For this competition, the information can be found here. The main points (aside from the...

    https://www.kdnuggets.com/2016/05/doing-data-science-kaggle-walkthrough-understanding-data.html

  • Understanding Convolutional Neural Networks for NLP

    …er regions. By performing the max operation you are keeping information about whether or not the feature appeared in the sentence, but you are losing information about where exactly it appeared. But isn’t this information about locality really useful? Yes, it is and it’s a bit similar to what a bag…

    https://www.kdnuggets.com/2015/11/understanding-convolutional-neural-networks-nlp.html

  • Just How Smart Are Smart Machines?

    …“learn” — their decisions get better with more data, and they “remember” previously ingested information. For example, as Watson is introduced to new information, its reservoir of information expands. Other systems in this category get better at their cognitive task by having more data for training…

    https://www.kdnuggets.com/2016/12/davenport-how-smart-are-smart-machines.html

  • 9 Key Deep Learning Papers, Explained">Gold Blog9 Key Deep Learning Papers, Explained

    ...ons are embedded to a 500 dimensional space. Now we have 20 different 500 dimensional vectors (represented by v in the paper) for each image. We have information about the image. Now, we want information about the sentence. We’re going to embed words into this same multimodal space. This is done by...

    https://www.kdnuggets.com/2016/09/9-key-deep-learning-papers-explained.html

  • Data Science & Ancestry

    …Does this take away the mystery of genealogy, the romanticized time spent in archives? Not really, but it poses a more cost-effective way to acquire information about family history and find precisely that one “John Smith”. Those who desire physical journeys, the ups and downs of the information

    https://www.kdnuggets.com/2016/12/data-science-ancestry.html

  • The Foundations of Algorithmic Bias

    …fortune compounded through use of the recidivism predictor. You might hope that we could get around this problem by withholding sensitive demographic information from the machine learning algorithm. If the model didn’t know who was black and who is white, how could it learn to discriminate between…

    https://www.kdnuggets.com/2016/11/foundations-algorithmic-bias.html

  • Rethinking 3 Laws of Machine Learning

    …data has far exceeded human ability to effectively manually manage it. Fortunately, in the not-too-distant future lies the possibility of Predictive Information Governance (PIG). I consider this automated information governance—which is based on unsupervised machine learning technology—to be the…

    https://www.kdnuggets.com/2017/10/3-laws-machine-learning.html

  • U. of Iowa: Lecturer: Business Analytics & Information Systems

    ...ment of Management Sciences at The University of Iowa invites applicants for one or more lecturer positions teaching topics in business analytics and information systems in the undergraduate, Master’s, and MBA programs starting August 17, 2016. We seek candidates for full-time (8 courses/year),...

    https://www.kdnuggets.com/jobs/16/06-28-uiowa-lecturer-business-analytics-information-systems.html

  • A Non-Compromising Approach to Privacy-Preserving Personalized Services

    ...s, Tor, and HTTPS. However, using these solutions could result in the decreased quality of online personalized services due to the lack of customer's information. User’s information is critical for online vendors to offer personalized services. Moreover, none of the above solutions can prevent ISPs...

    https://www.kdnuggets.com/2019/01/privacy-preserving-personalized-services.html

  • Why Deep Learning is perfect for NLP (Natural Language Processing)">Silver BlogWhy Deep Learning is perfect for NLP (Natural Language Processing)

    ...g the data regarding dog. Therefore, discrete IDs separate the actual semantic meaning of the word from its representation. Although some statistical information can be calculated at the document level, information at the atomic level is extremely limited. This is where distributed vector...

    https://www.kdnuggets.com/2018/04/why-deep-learning-perfect-nlp-natural-language-processing.html

  • Uber-fication! Uberize Your Business

    …oke down the asymmetry of information that was at work in the car and taxi business. Both drivers and riders had access to the same pricing and route information. In general, this open sharing of information has been at the core of most Internet sites and growth in sites like Amazon, eBay, Kayak,…

    https://www.kdnuggets.com/2017/01/uber-uberize-your-business.html

  • Privacy, Security and Ethics in Process Mining

    …lso the list of common process mining attributes and how they are impacted if anonymized in [5]). Keep in mind that despite the anonymization certain information may still be identifiable. For example, there may be just one patient having a very rare disease, or the birthday information of your…

    https://www.kdnuggets.com/2016/12/privacy-security-ethics-process-mining.html

  • Deep Learning for NLP: An Overview of Recent Trends">Silver BlogDeep Learning for NLP: An Overview of Recent Trends

    ...fective because they can mine semantic clues in contextual windows, but they struggle to preserve sequential order and model long-distance contextual information. Recurrent models are better suited for such type of learning and they are discussed next. comments Recurrent Neural Network (RNN)  ...

    https://www.kdnuggets.com/2018/09/deep-learning-nlp-overview-recent-trends.html

  • UCLouvain: Postdoc, Machine Learning/Information Visualisation

    ...social security is about 26000 euros per year, or more, depending on seniority. Applicants should be knowledgeable in machine learning, data mining, information visualisation, with a particular interest in manifold learning, dimensionality reduction and information retrieval. Applicants should...

    https://www.kdnuggets.com/academic/13/01-23-uclouvain-postdoc-machine-learning-information-visualisation.html

  • Privacy Protection and Information Sites

    ...Electronic Privacy Information Center, a public interest research center in Washington, D.C. FTC (Federal Trade Commission) privacy initiatives page Information and Privacy Commisioner/Ontario, CA Junkbusters, a comprehensive collection of information about junk messages and how to stop them...

    https://www.kdnuggets.com/websites/privacy.html

  • 2014 Jan: Analytics, Big Data, Data Mining and Data Science News

    ...2014. Health Sys Analyst Programmer II 1311219 at Vanderbilt U. & Medical Center, Nashville, TN - Jan 3, 2014. Analyze operational processes and information generation or utilization. Develop, test, implement and support computer-based information systems. Assist lower level analyst...

    https://www.kdnuggets.com/2014/01/index-old.html

  • Nutrition & Principal Component Analysis: A Tutorial

    ...contain, aiming to reduce mutual information shared between components. Hence, ICA’s components are independent, with each component revealing unique information on the data set. Information has thus far been represented by the degree of data spread, with dimensions along which data is more spread...

    https://www.kdnuggets.com/2016/06/nutrition-principal-component-analysis-tutorial.html

  • Wharton: Operations and Information Management Faculty

    ...du/ The Operations and Information Management Department at the Wharton School is home to faculty with a diverse set of interests in decision-making, information technology, information-based strategy, operations management, and operations research. We are seeking applicants for a full-time,...

    https://www.kdnuggets.com/academic/13/09-26-wharton-operations-information-management-faculty.html

  • White House-MIT Big Data Privacy Workshop – Top Researcher Reports

    ...” on March 3, 2014. The event was part of a series of workshops on big data and privacy organized by the MIT Big Data Initiative at CSAIL and the MIT Information Policy Project. The workshop was also the first in a series of events being held across the country in response to President Obama’s call...

    https://www.kdnuggets.com/2014/03/white-house-mit-big-data-privacy-workshop-report.html

  • Uber-fication: Lessons from Uber in Economics, Digital, Risk, and Analytics

    …oke down the asymmetry of information that was at work in the car and taxi business. Both drivers and riders had access to the same pricing and route information. In general, this open sharing of information has been at the core of most Internet sites and growth in sites like Amazon, eBay, Kayak,…

    https://www.kdnuggets.com/2015/12/walker-lessons-uber-economics-digital-risk-analytics.html

  • 90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning

    ...llows Program. Information is Beautiful, by Independent data journalist and information designer David McCandless who is also the author of his book 'Information is Beautiful'. Information Aesthetics designed and maintained by Andrew Vande Moere, an Associate Professor at KU Leuven university,...

    https://www.kdnuggets.com/2015/10/best-blogs-analytics-big-data-science-machine-learning.html

  • Boeing: Advanced Information Technologist Text Analytics

    ...equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study. Level 3: Technical bachelor's degree and typically 5 or more years' related work experience or a Master's...

    https://www.kdnuggets.com/jobs/15/04-28-boeing-advanced-information-technologist-text-analytics.html

  • Interview: Amit Sheth, Kno.e.sis on Deriving Value from Big Data through Smart Data

    ...ng, outdoor pollen and smog, etc. From the cyber world we utilize a conceptual model for how physicians classify levels of asthma control, historical information, information collected from health organizations (e.g., number of asthma related admissions and deviations from the norm), and from the...

    https://www.kdnuggets.com/2015/01/interview-amit-sheth-knoesis-smart-data.html

  • Advance Your Career in Analytics

    ...rofessors. Residential sessions in Toronto, Mannheim and Hong Kong will reinforce your learning and establish a network that truly spans the globe. Learn more *Prospective students are advised that offers of admission to a new program may be made only after the University’s own quality assurance...

    https://www.kdnuggets.com/2019/01/queensu-advance-your-career-analytics.html

  • Four Approaches to Explaining AI and Machine Learning

    ...ould provide the same answer given the same inputs and model. Inaccurate or inconsistent model explainability techniques might appear to provide some assurance of risk management, but if the results aren’t accurate, they provide little value or assurance to business stakeholders and regulators....

    https://www.kdnuggets.com/2018/12/four-approaches-ai-machine-learning.html

  • Key Takeaways from the Strata San Jose 2018

    ...around quality assurance: Validation is very tough – for example, how do you know if a query is misbehaving?   Success strategies around quality assurance: Rigorous cross validation and peer reviews are very useful. Dogfood simulations are important and always try to check the implicit...

    https://www.kdnuggets.com/2018/07/key-takeaways-strata-san-jose.html

  • Michael J. Fox Foundation: Associate Director, CRM (Campaign Operations)

    ...ns/journeys by segment to improve operational and marketing effectiveness, as well as annual and quarterly campaign plans Design and deploy a quality assurance and authorization process for automated campaigns Liaise with external vendors to secure any required supporting services (e.g. Salesforce...

    https://www.kdnuggets.com/jobs/15/11-07-michaeljfox-associate-director-crm-campaign-operations.html

  • Iowa State University Dept. of CS: Assistant Professor (2 positions)

    ...utational Biology. We are active in interdepartmental graduate programs in Bioinformatics and Computational Biology, Human-Computer Interactions, and Information Assurance. We have many interdisciplinary research collaborations, especially with faculty in the bio-sciences, mathematical sciences,...

    https://www.kdnuggets.com/jobs/16/11-08-iastate-assistant-professor-2.html

  • A Short Guide to Navigating the Jupyter Ecosystem

    ...prove challenging to integrate in a team setting with additional requirements. Challenges stem from the need to peer review code, to perform quality assurance on the analysis itself, and to share the results with management or a client expecting a formal document. In this post, we’ll be talking...

    https://www.kdnuggets.com/2017/03/guide-navigating-jupyter-ecosystem.html

  • Teradata: Senior Analytic Engineer – Data Sciences

    ...tics and machine learning algorithms, running on Aster’s MPP platform, using its Java and C function APIs. Collaborate closely with platform, Quality Assurance and UI engineering for end to end design and implementation of the analytic functions and features Evaluate, investigate, and optimize the...

    https://www.kdnuggets.com/jobs/17/05-11-teradata-analytic-engineer-data-sciences.html

  • Machine Learning Meets Humans – Insights from HUML 2016

    …ions. If a decision-maker denies you a loan due to insufficient income, you could contest this by showing evidence of income and demand that this new information be taken into account. Unfortunately few attempts at interpretable ML models possess the ability to handle a protest and revise…

    https://www.kdnuggets.com/2017/01/machine-learning-humans-huml-2016.html

  • Data Science vs Crime: Detecting Pickpocket Suspects from Transit Records

    ...pers, Aug 2016. Bio: Professor Hui Xiong is a Vice Chair in the Management Science and Information Systems Department, and the Director of Center for Information Assurance, at Rutgers State University. His general area of research is data and knowledge engineering, with a focus on developing...

    https://www.kdnuggets.com/2016/09/kdd16-detecting-pickpocket-suspects-transit-records.html

  • Apple: Engineering Project Manager – Strategic Data Solutions

    ...tating meetings tracking tasks, enhancements and bugs for engineers. leading UAT Sessions writing use cases and test scripts participating in quality assurance testing of features and functions communicating project metrics, risks, and contingencies delivering key business updates back to executive...

    https://www.kdnuggets.com/jobs/17/10-20-apple-engineering-project-manager.html

  • U. of Notre Dame: Academic Director Data Science Online MS & Special Professional Faculty

    ...e program, including faculty hiring, training & mentoring instruction; outcomes assessment (including placement and student satisfaction) quality assurance, compliance with academic policies. Collaborate with the Faculty Director and participating faculty in curriculum planning, development of...

    https://www.kdnuggets.com/jobs/16/12-28-nd-academic-director-data-science-online.html

  • Hoag Hospital: Strategic Analytics Analyst Lead

    ...iew / Tableau) Statistical Analysis IBM InfoServer / Data Governance Informatica ETL Strong understanding of project management requirements, quality assurance and change management processes Ability to multi-task; to work on multiple projects at a time and maintain accuracy despite interruptions...

    https://www.kdnuggets.com/jobs/17/07-20-hoag-hospital-strategic-analytics-analyst.html

  • Mid-Atlantic PERMANENTE Medical Group: Research Data Analyst

    ...designing, developing, implementing, and managing research databases using SQL and SAS. Strong analytic, troubleshooting, problem-solving and quality assurance skills. Strong project management and organizational skills. Excellent written and oral communication skills. Knowledge of statistical and...

    https://www.kdnuggets.com/jobs/16/09-20-mapri-research-data-analyst.html

  • Introducing Dask for Parallel Programming: An Interview with Project Lead Developer

    In the coming weeks, KDnuggets plans on sharing some information and tutorials about Dask. What is Dask, you ask? From its documentation: Dask is a flexible parallel computing library for analytics. Is your interest piqued? If you are interested in learning more about a software project built for...

    https://www.kdnuggets.com/2016/09/introducing-dask-parallel-programming.html

  • Webinar: Breaking Data Science Open, Sep 15

    ...enterprise's journey to Open Data Science in their webinar: Breaking Data Science Open on September 15th. The following topics will be discussed during the webinar: Drive collaboration and true data science teamwork through open data science Mitigate legal risk through open source assurance and...

    https://www.kdnuggets.com/2016/09/continuum-webinar-breaking-data-science-open.html

  • Driving Data Science Productivity Without Compromising Quality

    ...d missing-data imputation. How will data science teams maintain quality standards in the face of advancing automation? To some degree, manual quality-assurance methods will remain essential. At the very least, data scientist teams need to review the automated output of their tools to ensure the...

    https://www.kdnuggets.com/2016/09/ibm-data-science-productivity-quality.html

  • Data Scientist: The Hottest Job on Wall Street

    ...n has become the top priority in banking. Data scientists are being recruited to safeguard not only individual’s deposits but also sensitive personal information.When breaches do arise, regulators are quick to dole out punitive fines. Further, the paradigm shift to mobile banking has opened the...

    https://www.kdnuggets.com/2017/11/data-scientist-hottest-job-wall-street.html

  • Axa: Data Scientist

    ...our current benefits. Bonus Scheme linked to yours and the company’s performance Pension scheme with employer contributions as well as your own Life Assurance (10 x basic salary) 25 days annual leave, rising to 28 with service. Plus Bank Holidays. Interest free season ticket loan scheme Flexible...

    https://www.kdnuggets.com/jobs/16/07-12-axa-data-scientist.html

  • ICLR 2019 highlights: Ian Goodfellow and GANs, Adversarial Examples, Reinforcement Learning, Fairness, Safety, Social Good, and all that jazz

    ...ty-driven learning, where information-gain is used as an intrinsic reward, allowing algorithms to explore their environments and focus on areas where information-gain is highest. These kinds of intrinsic rewards can later be combined with extrinsic ones to achieve tasks with almost no explicit...

    https://www.kdnuggets.com/2019/05/iclr-2019-highlights.html

  • Is SQL needed to be a data scientist?

    ...ort and documentation are more plentiful. Further, data integrity is one key factor that makes SQL stand apart from any NoSQL database, by way of the assurance that no duplicates or unauthorized data can enter the system. Also, for complex queries and joins, a well-structured relational database...

    https://www.kdnuggets.com/2019/07/sql-needed-data-scientist.html

  • Data Quality Assessment Is Not All Roses. What Challenges Should You Be Aware Of?

    ...o measure the consistency of customer account records for both these sales channels. Each time when shopping online, a customer chooses what personal information to share with the retailer. For instance, they can enter either as a guest, or as a registered user, which means that the retailer is...

    https://www.kdnuggets.com/2019/09/data-quality-assessment-challenges.html

  • Anomaly Detection, A Key Task for AI and Machine Learning, Explained

    ...es at its fullest potential and detect anomalies at early stages. Introduced in 1924, the method is likely to stay in the heart of industrial quality assurance forever. However, its integration with Artificial Intelligence techniques will be able to make it more accurate and precise and give more...

    https://www.kdnuggets.com/2019/10/anomaly-detection-explained.html

  • EY: Cyber Data Scientist, Advisory

    ...Data Scientist, Advisory _Contact_: Apply online. Employer Description About Us EY is a global professional services organisation providing advisory, assurance, tax and transaction services. We are committed to doing our part in building a better working world for our people, our clients and our...

    https://www.kdnuggets.com/jobs/16/05-25-ey-cyber-data-scientist-advisory.html

  • Distributed Artificial Intelligence: A primer on Multi-Agent Systems, Agent-Based Modeling, and Swarm Intelligence

    ...cooperation is required since no individual agent has sufficient information, knowledge, and capabilities to solve the whole problem. Being sure that information and capabilities are correctly allocated in such a way that agents complement rather than conflict between each other is the real...

    https://www.kdnuggets.com/2019/04/distributed-artificial-intelligence-multi-agent-systems-agent-based-modeling-swarm-intelligence.html

  • Cummins: Data Engineering Technical Specialist [Columbus, IN]

    ...nges; understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results. Designs and/or provides support of information processes such as Engineering Standard Work (ESW), Value Package Introduction (VPI, change management and data repositories such as...

    https://www.kdnuggets.com/jobs/18/12-13-cummins-data-engineering-technical-specialist.html

  • C3 IoT: Sr Software Engineer, Machine Learning

    ...t and Python are a plus) Experience with large-scale analytics paradigms (Map Reduce, Spark, NoSQL, etc.) Disciplined approach to testing and quality assurance Thorough knowledge of data structures, algorithms, profiling/optimization, and Object-Oriented and Functional Programming C3 IoT is proud...

    https://www.kdnuggets.com/jobs/18/05-02-c3-iot-software-engineer-machine-learning.html

  • 5 Data Science Projects That Will Get You Hired in 2018">Platinum blog5 Data Science Projects That Will Get You Hired in 2018

    ...the following skills: Importing data Joining multiple datasets Detecting missing values Detecting anomalies Imputing for missing values Data quality assurance Exploratory Data Analysis Another important aspect of data science is exploratory data analysis (EDA). This is the process of generating...

    https://www.kdnuggets.com/2018/06/5-data-science-projects-hired.html

  • Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

    ...around these Asset Avatars that organizations will build intelligent IoT applications such as predictive maintenance, inventory optimization, quality assurance and supply chain optimization (see Figure 2). Figure 2: Role of Asset Avatars to Power Key Operational IoT Applications I have written...

    https://www.kdnuggets.com/2018/08/leveraging-agent-based-models-digital-twins-prevent-injuries.html

  • Cummins: Advanced Analytics Systems Architect Principle [Columbus, IN]

    ...work using E-Verify. Cummins will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. Ready to think beyond your desk? Apply for this opportunity to start...

    https://www.kdnuggets.com/jobs/18/12-12-cummins-advanced-analytics-systems-architect-principle.html

  • Deep Misconceptions About Deep Learning

    ...e to accept that it does not always work. The point is often mitigation and not elimination. Any good Deep Learning system has an intelligent Quality Assurance (QA) system in the background. That QA system acts as the last line of defence against an embarrassing prediction going to a user. By using...

    https://www.kdnuggets.com/2018/03/deep-misconceptions-about-deep-learning.html

  • Data Modeler

    ...borate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems. Apply quality assurance best practices for predictive modeling/analytics services. Adhere to change control and testing processes for modifications to analytical...

    https://www.kdnuggets.com/jobs/13/09-12-jpmorganchase-data-modeler.html

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