Search results for Network Security Development Programming

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  • Turbo Charge Agile Processes with Deep Learning

    ...the essence of the approach. The key to leveraging Deep Learning, or more broadly AI, in the workplace is to understand where it fits within an agile development environment. (It is of course obvious that Deep Learning development and operations should work within a continuous integration and...

    https://www.kdnuggets.com/2017/02/turbo-charge-agile-processes-deep-learning.html

  • MasterCard: Business Leader, Product Development, Fraud Data Strategy and Modeling

    ...will be responsible for data strategy and modeling activities that support both new and existing fraud services initiatives within the fraud product development team in Enterprise Security Solutions (ESS), creating real world, real-time products that address these market challenges. Have you ever...

    https://www.kdnuggets.com/jobs/14/09-20-mastercard-business-leader-product-development-fraud-data-strategy-b.html

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

    ...internal users/data sources as well as external users/data sources. Design and Implement automated reports and API’s for visualization and analytics development. Design and Implement data pipeline development methods that combine internal Cummins' data sources as well as external and third-party...

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

  • American Family Insurance: Analytics Strategy & Integration Director

    ...to collaborate with Strategic Data & Analytics management as well as other business partners internal and external to the division to coordinate development and integration of advanced analytics projects. Ensures analytics strategy, development and integration approach are well-aligned with...

    https://www.kdnuggets.com/jobs/16/05-12-amfam-analytics-strategy-integration-director.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...ticipate in the roadmap definition for the team Basic Qualifications Bachelor in Computer Science or related field 4+ years of experience in software development and full product life-cycles Coding skills in Java/C++ coupled with strong base in object-oriented design and development Experience with...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • After the “Meltdown,” How Can You Protect Your Database?

    ...ime to test the password randomizer you’ve been working on. Bio: Julia Cook is a Marketing Manager at iDatalabs. Related: Cybersecurity: Managing Risk in the Information age, Harvard online short course Does Machine Learning Have a Future Role in Cyber Security? Machine Learning and Cyber Security...

    https://www.kdnuggets.com/2018/01/after-meltdown-protect-database.html

  • The Problem With Self-Serve Analytics

    ...is approach here isn't what makes him stand out. Nearly any security officer worth their salt would do the same thing in this situation. Why? Because security officers like Rafae see themselves as being responsible for security outcomes, not just inputs. Rafae didn't just give me the information I...

    https://www.kdnuggets.com/2019/03/problem-self-serve-analytics.html

  • Why Data Science Argues against a Muslim Ban

    ...treating an immigrant as an individual, evaluating by way of the person’s unique backstory of behavior, will better predict risk and thereby improve security. In contrast, a ban that targets Muslims would be an epic national mistake—not only in terms of social justice but also in terms of...

    https://www.kdnuggets.com/2017/06/sciam-data-science-against-muslim-ban.html

  • Data Lake Plumbers: Operationalizing the Data Lake

    ...ta pipelines, and then Falcon uses those definitions to auto-generate workflows in Apache Oozie Now that the data is loaded, you will want to enforce security through your LDAP capability or possibly through Kerberos. There are also tools like Blue Talon that simplify the ability to authorize,...

    https://www.kdnuggets.com/2016/02/data-lakes-plumbers-operationalizing.html

  • Top KDnuggets tweets, Dec 10-11: Which one is the bunny? Google new CAPTCHA trains AI; Big Data in 2015: Security, #IoT, data markets

    ...Newsletters to Subscribe to, from BigData-Startups to KDnuggets t.co/WSjlolks3u Most Viewed: Predictions for $125B #BigData Analytics Market in 2015: Security becomes killer app, #IoT will be hot, data markets t.co/WnD1tw8xIT Most Clicked: Which one is the bunny? Google new CAPTCHA bot-trap trains...

    https://www.kdnuggets.com/2014/12/top-tweets-dec10-11.html

  • Key Takeaways from AI Conference SF, Day 2: AI and Security, Adversarial Examples, Innovation

    ...ks are insufficient for protecting privacy and provided recommendations on solving the problem. One of her recent work led to the finding that neural networks remember training data and attackers can extract secrets (in Training Data) from (querying) Learned Models. She showed how an attacker can...

    https://www.kdnuggets.com/2018/10/key-takeaways-aiconf-san-francisco-day2.html

  • G Research: Data Scientist

    ...g the end-to-end capability required to perform a range of monitoring and response capabilities across the physical, personnel and cyber domains. The Security Data Science team works closely with our SOC and Security Data Engineering teams to develop our anomaly detection capability. We are looking...

    https://www.kdnuggets.com/jobs/18/04-20-g-research-data-scientist.html

  • Damballa: Research Scientist

    ...riminal botnet operators to control and monetize their victims. As a Research Scientist, you will have the opportunity to work at the intersection of network security and data science using massive datasets, e.g. DNS, netflow, DPI, proprietary network security data, etc. You will have the chance to...

    https://www.kdnuggets.com/jobs/15/04-29-damballa-research-scientist.html

  • Comprehensive Guide to Learning Python for Data Analysis and Data Science

    …data (e.g. R, SAS), Python is the only true general purpose programming language. Check out this infographic for a more thorough comparison. Popular Programming Language: In addition, Python is one the most popular programming languages, when compared with other general purpose languages (e.g….

    https://www.kdnuggets.com/2016/04/datacamp-learning-python-data-analysis-data-science.html

  • Top KDnuggets tweets, Sep 07-13: Dask for #Parallel Programming; Computationally generated Average Face

    ...he (Not So) New #DataScientist Venn Diagram https://t.co/TK129EAt7F #DataScience https://t.co/uQ3EwllZlB Most Clicked: Introducing Dask for #Parallel Programming: Interview with Project Lead Developer @mrocklin https://t.co/6JTaOBBW5z https://t.co/i7wgGv1mDJ Top 10 most engaging Tweets Not so...

    https://www.kdnuggets.com/2016/09/top-tweets-sep07-13.html

  • From Science to Data Science, a Comprehensive Guide for Transition

    ...s); and given you background you want to be a Type A Data scientist (i.e. more a statistician than a regular programmer), according to this taxonomy. Programming languages Most likely practical programming is the main skill you are missing. For general data science, the standard tools are Python...

    https://www.kdnuggets.com/2016/04/data-science-comprehensive-guide-transition.html

  • Don’t learn Machine Learning in 24 hours

    ...u may come to grips with the syntax, nature, and style of a programming language in 24 hours, but that doesn’t mean you’ve become adept at the art of programming. Because programming isn’t about a language at all. Programming is about intelligent design, a rigorous analysis of time and space...

    https://www.kdnuggets.com/2018/04/dont-learn-machine-learning-24-hours.html

  • Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Silver BlogBest Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools

    ...and the large number of application domains it supports. C++ has both high-level and low-level language features, so it is considered a middle-level programming language. Another application of this language is the development of drivers and software that can directly interact with hardware under...

    https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html

  • How to Learn Python for Data Science the Right Way">Gold BlogHow to Learn Python for Data Science the Right Way

    ...n learning the modules and libraries in Python to perform these tasks. Follow this incremental steps to learn Python for data science. Configure your programming environment   The Jupyter Notebook is a powerful programming environment for developing and presenting data science projects. The...

    https://www.kdnuggets.com/2019/06/python-data-science-right-way.html

  • Top Handy SQL Features for Data Scientists">Gold BlogTop Handy SQL Features for Data Scientists

    ...aring problem. He is interested in product marketing, and analytics. His latest venture Hackr.io recommends the best Data Science tutorial and online programming courses for every programming language. All the tutorials are submitted and voted by the programming community. Related: Is SQL needed to...

    https://www.kdnuggets.com/2019/08/top-handy-sql-feature-data-scientist.html

  • Top SAS Courses Online

    ...ng to get proficient in SAS Base programming. Certified SAS Base Programmer Certification Training (ed2go.com) https://www.ed2go.com/courses/computer-programming/programming-classes/ctp/certified-sas-base-programmer-certification-training This course is a self-paced online course with a 6-month...

    https://www.kdnuggets.com/2018/05/top-sas-courses-online.html

  • The secret sauce for growing from a data analyst to a data scientist

    ...ng how to use Jupyter will be key for a quicker workflow and data/model exploration. Tip 4: Practise practise and practise for stronger better faster programming skills. Because programming gives you magical powers Entering hackathons, participating in kaggle competitions, working on a personal...

    https://www.kdnuggets.com/2019/08/secret-sauce-growing-from-data-analyst-data-scientist.html

  • DevOps for Data Scientists: Taming the Unicorn

    ...ue when you need to think about multiple users using your model based application. This may either be true in terms of training or prediction.   Security Security is important but often underestimated in the field of data science. Some of the data used for model training and prediction...

    https://www.kdnuggets.com/2018/07/devops-data-scientists-taming-unicorn.html

  • Bayer: Principal Clinical Data Manager [Whippany, NJ]

    ...the corresponding activities of the Early Clinical Team and Clinical Project Team; Ensure smooth phase-transitioning of project between research and development phase in P&O (Portfolio & Operations), is instrumental to facilitate data access and exchange between research and development...

    https://www.kdnuggets.com/jobs/19/06-24-bayer-principal-clinical-data-manager.html

  • Top 8 Data Science Use Cases in Gaming

    ...eir attitude towards the brand and predict customers purchase decisions and brand loyalty. The so-called social network games form multiplayer online networks. Within these networks players actively interact. This interaction often results in the creation of separate social communities based on...

    https://www.kdnuggets.com/2019/04/top-8-data-science-use-cases-gaming.html

  • Sr. Capability Implementation Manager, Machine Learning

    ...ent responses and other educational texts into ETS Capabilities. Apply technical and software engineering skills in executing projects and capability development in support of educational products and services. Incorporate best practices in machine learning into the development and evaluation...

    https://www.kdnuggets.com/jobs/13/06-06-ets-sr-capability-implementation-manager-machine-learning.html

  • The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

    ...what was invented decades ago, at worst – will turn out to be nothing more than inflated marketing… dummies? What are the real opportunities for the development of machine learning cybersecurity technologies? And what will be the role of humans experts in this brave new world? SOMETIMES WHEN I...

    https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

  • From Insight-as-a-Service to Insightful Applications

    ...on characteristics, which make them particularly relevant as insightful applications: Not enough professionals to provide remedies to problems (e.g., security). Need for quick response in the execution of actions (e.g., autonomous cars, security, online marketing). Big data at a scale that makes it...

    https://www.kdnuggets.com/2016/05/simoudis-insight-service-insightful-applications.html

  • Boeing: Big Data Architect – Level 4/5

    .... An employee will typically work on multi-year projects that end with capability transitions. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Business Unit. An employee will work on a small...

    https://www.kdnuggets.com/jobs/15/11-14-boeing-big-data-architect.html

  • The Internet of Things in the Cloud

    ...mputing infrastructures provide a service management environment along with an integrated approach for managing physical environments and IT systems. Security: Cloud computing infrastructures offer security functionalities towards safeguarding critical data and fulfilling customers’ compliance...

    https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.html

  • United Nations University: Data Science Lead

    ...sources, and generate accessible data visualisations. You have a demonstrated interest in issues relating to SDG 8.7, illicit economies, sustainable development, or international peace and security, and understand and model the values of the United Nations. Responsibilities   The Data Science...

    https://www.kdnuggets.com/jobs/17/05-25-united-nations-university-data-science-lead.html

  • Walmart: Systems Analyst (Developer, Data Science)

    ...mentation on Hadoop Experience in Spark and NoSQL 3 years experience leading a technical team. 6 years of development experience in C/C++. 6 years of development experience in Java. 6 years of development experience in Microsoft .Net. 6 years of development experience in SQL technology. 6 years of...

    https://www.kdnuggets.com/jobs/17/11-03-walmart-systems-analyst.html

  • Customer-Driven Product Development for the Future, June 6 webinar

    ...products to meet the future needs of your customer and thrive in the future of insurance. Join the webinar: Balancing Risk: Defining Value in Product Development Innovation for Customer and Carrier (June 6th, 10am CT). Register for this free webinar for strategies to achieve rapid and...

    https://www.kdnuggets.com/2018/05/insurancenexus-balancing-risk-value-innovation-june-webinar.html

  • Unsupervised Investments (II): A Guide to AI Accelerators and Incubators

    ...other business processes; CyberLaunch (Atlanta): accelerator coming out from Georgia tech scene and with a focus on machine learning and information security. It is Chris Klaus’ second accelerator after Neurolaunch (focusing on neuroscience startups). They have incubated companies like C3Security,...

    https://www.kdnuggets.com/2017/05/unsupervised-investments-guide-ai-accelerators-incubators.html

  • Marketing Analytics for Data Rich Environments

    ...e for online behaviors. The IoT will change the way people interact with their man-made environment, become a major source of new product and service development, and generate massive data in the process. In addition, the rapid development towards NUI enables people to interact with their devices...

    https://www.kdnuggets.com/2017/07/marketing-analytics-data-rich-environments.html

  • Kobielus Predictions for Data Science in 2017

    ...sharing paradigm; maintain auditable project logs for algorithmic transparency, and enforce robust tracking and governance of data, models, and other development artifacts. Within increasingly federated data-science development teams, more training data curation will be sourced from open...

    https://www.kdnuggets.com/2016/12/ibm-kobielus-predictions-data-science-2017.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Big Data and Human Rights – A Complex Affair

    ...tes—including about the applications and implications of Big Data—is and should be treated as a Human Right. AR: Q3. In your 2012 paper "Big Data for Development: Challenges and Opportunities", you mentioned that in order for Big Data to work for development, we need to become "Sophisticated Users...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-data-pop-alliance-human-rights.html

  • Accenture: Financial Services Analytics Senior Manager

    ...ent, selling and proposal writing for analytics within financial services industry Value Proposition Development Solution Configuration Business Case Development Proposal Development Solution Realization Approach Development Proven problem analysis and problem solving skills Strong customer...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-financial-services-analytics-senior-manager.html

  • Elsevier: Machine Learning Scientist

    ...ns to find the right clinical answers, and we support nurses and other healthcare professionals throughout their careers. We offer exceptional career development prospects, a chance to work at the forefront of technological development, and the opportunity to contribute to change. We need talented...

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

  • Vencore: Software Engineer, Machine Learning

    ...), Python development in a Linux environment Desired Skills: Algorithm development Statistics/Biostatistics/Operations Research background R Language Development Configuration management: SVN, Github Development environments: RStudio, Jupyter, Eclipse, Spyder, Anaconda Machine learning frame works:...

    https://www.kdnuggets.com/jobs/16/11-23-vencore-software-engineer-machine-learning.html

  • Bot or Not: an end-to-end data analysis in Python

    …cess the data, develop, and test a classifier all with Python. We’ve also seen that there’s room for improvement. Utilities for fast, iterative model development are rich in R’s caret package, and caret serves as a great model for future development in scikit-learn. Bio: Erin Shellman is a…

    https://www.kdnuggets.com/2015/11/bot-not-data-analysis-python.html

  • Top 10 Technology Trends for 2020">Silver BlogTop 10 Technology Trends for 2020

    ...d create greater value.   Trend 8: Intelligent transportation will accelerate its implementation in various scenes such as parks and cities. The development of autonomous vehicles is becoming more rational, and the market will be more confident in the development of intelligent driving in the...

    https://www.kdnuggets.com/2020/01/top-10-technology-trends-2020.html

  • Webinar: Credit Scorecard Development

    ...gers need closed-loop processes and tools to meet requirements while optimizing revenue growth. Join us for a complimentary webinar, Credit Scorecard Development, led by Dr. Mamdouh Refaat, industry expert and Chief Data Scientist. Register to learn how to: Create automated and scalable credit...

    https://www.kdnuggets.com/2013/09/angoss-credit-scorecard-development-sep-26-webinar2.html

  • Amazon: Business Intelligence Engineer, Mobile Business Development

    ...obile site/application traffic, understand customer behavior, feature performance and accurately calculate ROI across multiple marketing and Business Development channels. As a BI Engineer working on the analytics platform, you will be developing and supporting the analytic technologies to give our...

    https://www.kdnuggets.com/jobs/14/04-17-amazon-bi-engineer-mobile-business-development.html

  • Equifax: Senior Director, Search-Match & Data-Linking

    ...rategies that solve customer business problems Design innovative search-match solutions and lead the development of those solutions (Proof of Concept development, business case development, feasibility analysis, prototyping through full new product deliverables) Internal Business Development – work...

    https://www.kdnuggets.com/jobs/16/10-14-equifax-director-search-data-linking.html

  • AT&T: Lead Product Development Mgr, Big Data Algorithms and Insights

    ...g insights with tremendous value. As Lead product Development Manager for algorithms and insights, you will work closely with the Director of Product Development to lead all aspects of advanced analytics, novel algorithms, interactions with scientific teams currently working on product definitions,...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-mgr-big-data-algorithms-insights.html

  • Webinar: Credit Scorecard Development, Sep 26

    ...gers need closed-loop processes and tools to meet requirements while optimizing revenue growth. Join us for a complimentary webinar, Credit Scorecard Development, led by Dr. Mamdouh Refaat, industry expert and Chief Data Scientist. Register to learn how to: Create automated and scalable credit...

    https://www.kdnuggets.com/2013/09/angoss-credit-scorecard-development-sep-26-webinar.html

  • Virginia Tech: Faculty in AI/Machine Learning, Software Engineering, Data Analytics

    ...dth in data analytics, data mining, "big data", data science, or cyber security, including technologies for and applications in information security, network security, and trustworthy computing are encouraged to apply. Candidates working at the intersection of data analytics and cyber security are...

    https://www.kdnuggets.com/academic/14/10-16-vt-faculty-ai-software-data-analytics.html

  • Using Machine Learning to Detect Malicious URLs

    ...ethost.exe (Bad Url) www.itidea.it/centroesteticosothys/img/_notes/gum.exe (Bad Url) This is what a human would have predicted. No? The data and code is available at Github. Bio: Faizan Ahmad is a Fulbright computer science undergrad and CEO of Fsecurify. Related: 5 Best Practices for Big Data...

    https://www.kdnuggets.com/2016/10/machine-learning-detect-malicious-urls.html

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

    ...down versus bottom-up corresponds loosely to theory-driven versus data-driven Due to the massive scale of Big Data, previously top-down solutions for security, e.g., anticipating and preventing security breaches, will simply not scale to Big Data. They must be augmented with new approaches...

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

  • Virginia Tech: Data Analytics/Cyber Security Faculty Position

    ...adth in data analytics, data mining, "big data", data science, or cybersecurity, including technologies for and applications in information security, network security, and trustworthy computing are encouraged to apply. Candidates working at the intersection of data analytics and cybersecurity are...

    https://www.kdnuggets.com/academic/14/10-09-vt-data-analytics-cyber-security-faculty.html

  • Predictive Power of Terror Alerts and Monkeys

    …onic terror war. And finally succumbing (way-too-late) with an alert on December 16. We can see on the chart below that 94% of the time, the Homeland Security Advisory System (HSAS) was in the more neutral yellow state. However, this is when 99% of the attacks and 100% of the failed attacks took…

    https://www.kdnuggets.com/2016/01/predictive-power-terror-alerts-monkeys.html

  • Top Stories, Jan 2-8: 5 Machine Learning Projects You Can No Longer Overlook, January; Machine Learning and Cyber Security Resources

    ...ted Most Shared Last Week 5 Machine Learning Projects You Can No Longer Overlook, January, by Matthew Mayo - Jan 02, 2017. Machine Learning and Cyber Security Resources, by Faizan Ahmad - Jan 02, 2017. Generative Adversarial Networks – Hot Topic in Machine Learning - Jan 03, 2017. Ten Myths...

    https://www.kdnuggets.com/2017/01/top-news-week-0102-0108.html

  • HP: Big Security for Big Data

    "Big Security for Big Data" The multitude of devices, users, and generated traffic all combine to create a proliferation of data that is being created with incredible volume, velocity, and variety. Organizations need a way to protect, utilize, and gain real-time insight from "big data." This...

    https://www.kdnuggets.com/2013/03/hp-big-security-for-big-data.html

  • Understanding Backpropagation as Applied to LSTM

    ...s, programming languages and their associated APIs. Kang has a B.S. from Cornell University. He has worked for various companies helping to drive AI, security, and development. He also worked as Principal Security Researcher for Fortify in their Software Security Research group. Prior to this,...

    https://www.kdnuggets.com/2019/05/understanding-backpropagation-applied-lstm.html

  • A Concise Overview of Recent Advances in the Internet of Things (IoT)

    ...acked by your fridge: the Internet of Things could spark a new wave of cyber attacks "The past few weeks have seen a remarkable and somewhat alarming development in cyber security. It comes in the wake of..." via theconversation.com To conclude, we’ll leave you with this sequence from Back to the...

    https://www.kdnuggets.com/2017/01/grakn-year-review-iot-internet-things.html

  • R-Brain Platform for Data Science: R, Python, sharing, security, and marketplace

    ...t respond from your colleagues just because you cannot instantly share your model or because of handling dependencies? Can you imagine to deploy your development tool on the cloud and scale up or down in less than a minute? Well, you are not the only data scientist who is striving to accomplish...

    https://www.kdnuggets.com/2016/12/r-brain-platform-data-science-r-python.html

  • How to discover stolen data using Hadoop and Big data?

    …hniques should be supported by adequate data storage and processing capabilities. However, as stated earlier in this article, these are early days in developments like this. Another perspective could be ensuring the security of data storage systems which could be the targets for future attacks as…

    https://www.kdnuggets.com/2015/11/discover-stolen-data-hadoop-big-data.html

  • Top KDnuggets tweets, May 25-31: 19 Free eBooks to learn #programming with #Python; Awesome collection of public datasets on Github

    Most popular @KDnuggets tweets for May 25-31 were Most Retweeted: #DataScience foundations: 19 Free eBooks to learn #programming with #Python https://t.co/sU724yMGDv https://t.co/hX6KPFBug7 Most Favorited: Check out this awesome collection of public #datasets on @Github! https://t.co/kU7ffMvD4x...

    https://www.kdnuggets.com/2016/06/top-tweets-may25-31.html

  • Statistics.com Online Data Science Courses and Certificates

    ...ytics NLP using NLTK Natural Lang. Processing (NLP) * Sentiment Analysis * Text Mining * Using R Data Mining - R Mapping in R R Graphics R Modeling R Programming Advanced R Programming Intermediate * R Programming Intro 1 * R Programming Intro 2 * R Statistics R ggplot2 IT/Programming Applied...

    https://www.kdnuggets.com/2015/02/statisticscom-online-data-science-courses-certificates.html

  • Top news for Feb 3-9: KDD-2013 Call for Papers; Microsoft F# for Big Data programming

    Most viewed news items KDD-2013 Call for Papers - Feb 5, 2013. Microsoft F# for Big Data programming - Feb 4, 2013. Poll Results: How long to become a good data scientist ( comments) - Jan 29, 2013. Top news for Jan 27 - Feb 2: 5 years to become a data scientist; Particle Physics and...

    https://www.kdnuggets.com/2013/02/top-news-week-Feb-3.html

  • KDnuggets™ News 14:n05, Mar 5

    ...f Data Mining - Mar 3, 2014. Using R with Twitter - great tutorial in Rstudio; The Dos and Donts of Data Mining; Wolfram Breakthrough Knowledge-based Programming Language; Online Data Science Certificates in Analytics and Programming for Data Science. Top KDnuggets tweets, Feb 26-27: Facebook...

    https://www.kdnuggets.com/2014/n05.html

  • Genetic Programming, Rough Sets, Fuzzy Logic, and other classification software

    ...ly flexible predictive modeling tool designed for Function Finding, Classification, Time Series Prediction, and Logic Synthesis; uses Gene Expression Programming and generates code in 16 languages. MARS, J. Friedman's automated logistic regression for binary classification problems. Automatic...

    https://www.kdnuggets.com/software/classification-other.html

  • More Free Data Mining, Data Science Books and Resources

    ...ncepts are approached and exemplified. Probabilistic Programming & Bayesian Methods for Hackers by Cam Davidson-Pilon, 2013.A book about Bayesian networks that provide capabilities to solve very complex problems. Also discusses programming implementations on the Python language. The Elements of...

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

  • NYC Data Science Academy courses & bootcamps in Data Engineering, Data Science, R, Python, and Machine Learning

    ...scrapping, R Shiny applications and more. Students will have interview and coding prep and get access to our online recruiting platform and our wide network within the data science community. Students and Employers Networking Events RSVP:...

    https://www.kdnuggets.com/2015/07/nycdatascience-bootcamp-courses-r-python-machine-learning.html

  • What Is Data Science, and What Does a Data Scientist Do?">Gold Blog, Mar 2017What Is Data Science, and What Does a Data Scientist Do?

    ...Data Scientist’s Toolbox   We’ll finish with an overview of some of the typical tools in the data scientist’s proverbial toolbox. Since computer programming is a large component, data scientists must be proficient with programming languages such as R, Python, SQL, Scala, Julia, Java, and so...

    https://www.kdnuggets.com/2017/03/data-science-data-scientist-do.html

  • Every Intro to Data Science Course on the Internet, Ranked">Silver Blog, March 2017Every Intro to Data Science Course on the Internet, Ranked

    ...Up   This is the third of a six-piece series that covers the best online courses for launching yourself into the data science field. We covered programming in the first article and statistics and probability in the second article. The remainder of the series will cover other data science core...

    https://www.kdnuggets.com/2017/03/every-intro-data-science-course-ranked.html

  • Data Science for Internet of Things – practitioner course

    ...nd skills – ex Apache Spark, R, Azure BI etc h) We are exclusively focused on IoT (although the concepts can apply to any other vertical) Approach to Programming The main Programming focus is on Spark (Scala, SQL and R). We will also use an ioT platform (like Thingworx) The participants need to be...

    https://www.kdnuggets.com/2015/09/data-science-iot-practitioner-course.html

  • 15 Minute Guide to Choose Effective Courses for Machine Learning and Data Science

    ...g this series if you want to brush over the latest trends in deep learning. Even if the programming assignments look hard and you want to stay out of programming a deep network by hand (you can argue there are always excellent open-source packages like TensorFlow, Keras, Theranos, out there to take...

    https://www.kdnuggets.com/2017/12/guide-effective-courses-machine-learning-data-science.html

  • Top KDnuggets tweets, May 01-07: The 3 Biggest Mistakes in Learning Data Science; ReinforcementLearning vs. Differentiable Programming; XGBoost Reign

    ...FtErsbyNj Which Deep Learning Framework is Growing Fastest? https://t.co/XCNCGhbpcn https://t.co/JUwj2WJpgc #ReinforcementLearning vs. Differentiable Programming https://t.co/dRxWINcwfQ https://t.co/x1R7S9Ym2I The Third Wave Data Scientist @d_haitz https://t.co/gNTal2txYW https://t.co/2xYCDcnFFk...

    https://www.kdnuggets.com/2019/05/top-tweets-may01-07.html

  • Event Processing: Three Important Open Problems

    ...Storm, Heron, etc. Figure 2 shows a breakdown of the usage of programming languages by event processing software. Figure 2: Event Processing Software Programming Language usage. (a) aggregated view (b) breakdown of the programming languages used in different event processing systems. Second, they...

    https://www.kdnuggets.com/2018/05/event-processing-important-open-problems.html

  • The ultimate list of Web Scraping tools and software

    ...wn scraper from scratch This is for code-savvy folks who love experimenting with site layouts and tackle blockage problems and are well-versed in any programming language like Python, R or Perl. Just like their routine programming for any data science project, a student or researcher can easily...

    https://www.kdnuggets.com/2018/07/ultimate-list-web-scraping-tools-software.html

  • 10 More Free Must-Read Books for Machine Learning and Data Science">Platinum Blog10 More Free Must-Read Books for Machine Learning and Data Science

    ...red programming paradigm which enables a computer to learn from observational data Deep learning, a powerful set of techniques for learning in neural networks Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and...

    https://www.kdnuggets.com/2018/05/10-more-free-must-read-books-for-machine-learning-and-data-science.html

  • 9 Must-have skills you need to become a Data Scientist, updated">Platinum Blog9 Must-have skills you need to become a Data Scientist, updated

    ...n Coding Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why 40 percent of respondents surveyed by O'Reilly use Python as their major programming language....

    https://www.kdnuggets.com/2018/05/simplilearn-9-must-have-skills-data-scientist.html

  • Deep Conversations: Lisha Li, Principal at Amplify Partners

    ...our talk at the Age of AI Conference in San Francisco early this year.   LL: My pleasure! I think there are formal definitions of differentiable programming based on functional programming. The things I wanted to highlight in my talk by using that term, and it was timely, given the Facebook...

    https://www.kdnuggets.com/2018/05/deep-conversations-lisha-li-amplify-partners.html

  • 6 Goals Every Wannabe Data Scientist Should Make for 2019

    ...science results to friends who do not have data science backgrounds. They could ask those people for suggestions to improve.   6. Learn Some New Programming Languages   Data scientists use various programming languages in their work. Learning new ones in 2019 is a proactive move to attain...

    https://www.kdnuggets.com/2018/11/6-goals-every-wannabe-data-scientist-2019.html

  • Top KDnuggets tweets, Feb 20-26: Learning programming languages for free; Import Your Favorite Libraries into a Jupyter Notebook

    ...ExdmdZGh https://t.co/YyzJaAdhje A comprehensive survey on graph neural networks https://t.co/5P2br7JS9q https://t.co/onnxLb7Deo Convolutional Neural Networks — Simplified #NeuralNetworks https://t.co/SiGGIR6qSb https://t.co/Afja65kpma Learning programming languages for free: GitHub's best guides...

    https://www.kdnuggets.com/2019/02/top-tweets-feb20-26.html

  • Top 13 Skills To Become a Rockstar Data Scientist">Platinum BlogTop 13 Skills To Become a Rockstar Data Scientist

    ...g   Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why 40 percent of respondents surveyed by O’Reilly use Python as their major programming language....

    https://www.kdnuggets.com/2019/07/top-13-skills-become-rockstar-data-scientist.html

  • Top Stories, Aug 26 – Sep 1: Object-oriented programming for data scientists; Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal

    ...lls Top Handy SQL Features for Data Scientists R Users Salaries from the 2019 Stackoverflow Survey Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch How to Sell Your Boss on the Need for Data Analytics Most Shared Last Week Why Data Visualization Is...

    https://www.kdnuggets.com/2019/09/top-news-week-0826-0901.html

  • KDnuggets™ News 19:n20, May 22: 7 Steps to Mastering SQL for Data Science; How to build Math Programming Skills

    ...t 2 days to vote in KDnuggets Data Science Software Poll.   Features 7 Steps to Mastering SQL for Data Science — 2019 Edition Mathematical programming - Key Habit to Build Up for Advancing Data Science PyCharm for Data Scientists A complete guide to K-means clustering algorithm Building...

    https://www.kdnuggets.com/2019/n20.html

  • Top Stories, May 13-19: 7 Steps to Mastering SQL for Data Science — 2019 Edition; Mathematical programming — Key Habit to Build Up for Advancing Data Science

    Most Popular Last Week Mathematical programming — Key Habit to Build Up for Advancing Data Science, by Tirthajyoti Sarkar How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls, by Vegard Flovik 7 Steps to Mastering SQL for Data Science 2019 Edition The Third...

    https://www.kdnuggets.com/2019/05/top-news-week-0513-0519.html

  • Data Science for Javascript Developers 

    ...ly language that runs both on the client and server. NPM, node’s packaging system, is great. For many, Javascript is their first (and sometimes only) programming language. But when it comes to data science, it is all about Python (or R). While Python is a great programming language, I don’t see any...

    https://www.kdnuggets.com/2018/03/data-science-javascript-developers.html

  • National Grid: Dev Ops – Operations Engineer / Sr Ops Engineer – Advanced Analytics

    ...istic manner Ability to manage projects and supervise/mentor other team members Possesses skill set in the disciplines of Modeling, Data Engineering, Programming/Software Development and Statistical & Probabilistic Analyses broadly, with a concentration in one or more Ability to utilize machine...

    https://www.kdnuggets.com/jobs/18/03-21-national-grid-dev-ops.html

  • The Two Sides of Getting a Job as a Data Scientist">Gold BlogThe Two Sides of Getting a Job as a Data Scientist

    ...even when you don’t want to! 10. Provide honest, critical feedback as a reviewer and be open to feedback when your code is being reviewed Whiteboard programming. This maybe the harderst and more intimidating part of any process. Programming in a blank space. Just you and a piece of paper. Practice...

    https://www.kdnuggets.com/2018/03/two-sides-getting-job-data-scientist.html

  • UnitedHealth Group: Big Data Engineering Lead (Eden Prairie, MN)

    ...ratively with all business areas to assess unmet/new business needs and solutions Encourage the growth of junior engineers on the team through skills development, mentoring and technical guidance Required Qualifications: BS / BA in Engineering, Computer Science or equivalent experience 8+ years of...

    https://www.kdnuggets.com/jobs/18/08-17-unitedhealth-group-big-data-engineering-lead.html

  • Top Stories, Feb 19-25: Top 20 Python AI and Machine Learning Open Source Projects; Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch

    ...20 Python AI and Machine Learning Open Source Projects - Feb 20, 2018. 5 Fantastic Practical Machine Learning Resources - Feb 06, 2018. The 8 Neural Network Architectures Machine Learning Researchers Need to Learn - Jan 31, 2018. Web Scraping Tutorial with Python: Tips and Tricks - Feb 01, 2018....

    https://www.kdnuggets.com/2018/02/top-news-week-0219-0225.html

  • Paychex: Risk Modeling Analyst II

    ...o Enterprise Risk Management leadership and other interested parties. Shares knowledge within the Modeling and Analytics Group for cross training and development. During model development works with business partners to understand all aspects of the business, from understanding business...

    https://www.kdnuggets.com/jobs/14/08-07-paychex-risk-modeling-analyst.html

  • LoyaltyOne: Associate Director, Client Services [Westborough, MA]

    ...ting client needs and insights Support Precima thought-leadership through internal learning/knowledge-sharing and development as well as via industry networking, case study development and publishing (white-papers/articles) as well as speaking at industry events. Primary responsibility for securing...

    https://www.kdnuggets.com/jobs/18/12-17-loyaltyone-associate-director-client-services.html

  • MassMutual: Data Architect [Boston, MA, or Springfield, MA]

    ...lutions. Develops prototypes of the system design and works with database, operations, technical support and other IT areas as appropriate throughout development and implementation processes. Contributes to the development and maintenance of data applications including the data, software and...

    https://www.kdnuggets.com/jobs/19/04-08-massmutual-data-architect.html

  • Top 8 Data Science Use Cases in Construction

    ...f the construction process. AI-powered software, tools, and smart robots are to make the construction process more efficient and fast.   Product development   Product development is a process of taking the product or service from the concept to the market. New products are to meet the...

    https://www.kdnuggets.com/2019/07/top-8-data-science-use-cases-construction.html

  • Ethical AI: EU’s New Guidelines and the Future of AI Trustworthiness

    ...personal identifiers. They should be as impartial as possible and not reflect human biases. Environmental stewardship: Not all the stakeholders in AI development are human. The development of these platforms and the implications of their decision-making and sustainability should take into account...

    https://www.kdnuggets.com/2019/05/ethical-ai-eu-new-guidelines-ai-trustworthiness.html

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

    ...ic Tagliere, Senior Vice President, Application Development & Enterprise Architecture, Marriott International Jonah Kowall, Vice President Market Development & Insights, App Dynamics Chris Sinkwitz, Vice President of Applications & Development, Meritage Homes Tony Hansen, Chief...

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

  • Citrix: Machine Learning / AI Architect – Research & Development

    ...m/blogs/2017/05/23/thwart-insider-threats-introducing-citrix-analytics-service/ ) Responsibilities Research & develop Machine Learning models for security problems, in the areas of Networking, Application & Data. Suggest, collect and synthesize requirements and create effective features....

    https://www.kdnuggets.com/jobs/17/11-07-citrix-machine-learning-ai-architect.html

  • Top 10 Data Science Use Cases in Energy and Utilities

    ...ndustries tend to enlarge the amount of energy they consume every day. Energy seems to be very demanding in terms of new technologies application and development of new energy sources. The rapid development of the energy sector and utilities directly influences social development. People are now...

    https://www.kdnuggets.com/2019/09/top-10-data-science-use-cases-energy-utilities.html

  • JCA: Consultant, Development Expertise

    ...matter what. We are fair and respectful to our clients and to each other. Excellence drives us.    2. POSITION SUMMARY The JCA Consultant (Development Expertise) is a key position in JCA projects at fundraising organizations. The consultant plays a primary role in small to mid-sized...

    https://www.kdnuggets.com/jobs/14/05-07-jca-consultant-development-expertise.html

  • How to Make an Agile Team Work for Big Data Analytics

    comments By Premjith B P K, Aufait Technologies. The Agile process’s success in software development and the development of the latest technologies have made it very popular in the innovation industry. The Agile development process is fundamentally based on the Agile Manifesto, which outlines its...

    https://www.kdnuggets.com/2019/10/agile-team-big-data-analytics.html

  • Amazon: Machine Learning – Technical Project Manager (TPM)

    ...ssurance and product delivery. This is a highly visible role that requires experience working with senior management and technical depth for removing development road blocks. In this role you will be responsible for scoping complex projects and delivering simple, elegant solutions by collecting...

    https://www.kdnuggets.com/jobs/15/06-19-amazon-machine-learning-technical-project-manager-tpm.html

  • Models: From the Lab to the Factory

    ...test the following: Whether the model deployed matches the expectations of the original model developer. By using a test input set identified during development which produces validated results, we can verify that the code being deployed is matching what was expected during development. We...

    https://www.kdnuggets.com/2017/04/models-from-lab-factory.html

  • American Family Insurance: Data Science Manager

    ...itors industry and competitor trends to determine potential impact to predictive models and incorporates findings to provide insight as part of model development and enhancement. Networks with and contributes thought leadership to the broader external analytics community. Builds awareness of...

    https://www.kdnuggets.com/jobs/16/02-04-amfam-data-science-manager.html

  • A Gentle Guide to Starting Your NLP Project with AllenNLP

    ...a model by PyTorch from scratch. Not only it provides easier development but also supports the management of the experiments and its evaluation after development. AllenNLP has the feature to focus on research development. More specifically, it’s possible to prototype the model quickly and makes...

    https://www.kdnuggets.com/2019/07/gentle-guide-starting-nlp-project-allennlp.html

  • Interview: Michael Brodie on Industry Lessons, Knowledge Discovery, and Future Trends

    ...r arguments are along the following lines. Due to the massive scale of Big Data, and what I call Computing reality, previously top-down solutions for security, such as anticipating and preventing security breaches, will simply not scale to Big Data. They must be augmented with new approaches...

    https://www.kdnuggets.com/2014/05/interview-michael-brodie-3-industry-lessons-knowledge-discovery-trends-qcri.html

  • LeapYear: Lead Data Scientist

    ...ttackers. As a consequence, hundreds of millions of sensitive records are breached each year, and enterprises must make costly trade-offs between the security and utility of their data assets. The Solution   LeapYear has applied the latest research in cryptography and machine learning to...

    https://www.kdnuggets.com/jobs/17/03-15-leapyear-lead-data-scientist.html

  • API for Prediction and Machine Learning: poll results and analysis

    …f respondents do not believe APIs are secure enough at this moment. This might suggest that API providers need to investigate how they can ensure the security of their APIs and/or convince their users of their API security. Figure 4: How secure are ML APIs according to our respondents? Motivation…

    https://www.kdnuggets.com/2015/09/api-prediction-machine-learning-poll-results.html

  • The Real “Fear” of AI is Automation Inundation

    ...take away from arguments in favor of increased minimum wage. I'm not politicizing, nor is this an either-or situation, but I feel that this aspect of security gets overlooked in the minimum wage discussion for the most part. However, and yet again, I only bring up the point of job security to segue...

    https://www.kdnuggets.com/2017/06/real-fear-ai-automation-inundation.html

  • World Food Programme: Data Scientist

    ...analyze CDR data for humanitarian purposes. WFP has secured resources to hire a data scientist to support the aforementioned activities research and development, and strengthening data analysis and reporting globally. The consultant will also play a key role in supporting the design of mobile...

    https://www.kdnuggets.com/jobs/17/04-12-world-food-programme-data-scientist.html

  • KDnuggets™ News 15:n06, Feb 25: My brief guide to Big Data; Data Scientist 3 wishes; Active Data Mining Blogs

    ...e Learning - Feb 17, 2015. Automating Tinder with Eigenfaces, statistics lessons in big data analysis, an upcoming AMA, the basics of PCA, and neural network programming in Python are all topics covered in the last week on Reddit. Top /r/MachineLearning posts, January - Feb 13, 2015. Talking...

    https://www.kdnuggets.com/2015/n06.html

  • The Johns Hopkins University Applied Physics Laboratory: Data Scientist

    ...sites may be required. Occasional weekend and other after-hours work required to handle and/or complete critical project/work-related business needs. Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified...

    https://www.kdnuggets.com/jobs/17/04-14-johns-hopkins-data-scientist.html

  • Split on Data Science Skills: Individual vs Team Approach

    ...approximate string comparison, very advanced indexing/search/retrieval) that are not common skills among statisticians, economists, or the type of IT programming personnel involved in these team projects. "Developing Analytic Programming Capability to Empower the Survey Organization". A number of...

    https://www.kdnuggets.com/2014/01/split-on-data-science-skills-individual-vs-team-approach.html

  • Top KDnuggets tweets, Oct 3-5: Best Programming Languages for Machine Learning; Analyzing Ebola

    Most popular @KDnuggets tweets for Oct 03-05 were Top 10 most engaging Tweets Best Programming Language for Machine Learning: R #rstats, Python, MATLAB/Octave, Julia, Java/C - when to use what t.co/SEVvDTsMva Analyzing Ebola - Is it spreading at exponential rate? http://t.co/PP4T4mdfar 31,000...

    https://www.kdnuggets.com/2014/10/top-tweets-oct03-05.html

  • Exclusive Interview: Peter Bruce, President Statistics.com

    ...s or university analytics programs; we offer 110+ courses in areas like predictive modeling, data mining, text analytics, operations research, social networks, statistical programming, and, of course, traditional statistics. We are more affordable and offer more flexible scheduling than...

    https://www.kdnuggets.com/2014/04/exclusive-interview-peter-bruce-president-statistics-com.html

  • R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites

    ...e Analytics, which merges SAP PA + KXEN) and SAP HANA as the underlying platform, in the same sense you have SAS Miner and SAS Base. HANA has its own programming logic (based on SQL, called SQLScript) which can be used for native development of predictive models, or you could use SAP Predictive...

    https://www.kdnuggets.com/2015/05/poll-r-rapidminer-python-big-data-spark.html

  • Are there programming frameworks for web content mining?

    ...s for dealing with them are very different. One does not deal with structured data in the same way as unstructured text. I am not aware of any common programming framework for Web content mining, or even for each specific task. Our research works were done mainly using C and C++. However, for...

    https://www.kdnuggets.com/faq/web-mining-frameworks.html

  • The MBA Data Science Toolkit: 8 resources to go from the spreadsheet to the command line

    ...understanding in order to use R functionally in a more conscious way. Learn You a Haskell is the best investment I’ve ever made in terms of reading a programming book. And I wrote exactly zero Haskell programs in my life beside its exercises. While there are many languages out there that are...

    https://www.kdnuggets.com/2016/04/mba-data-science-toolkit.html

  • Top 20 Data Science MOOCs

    …the spreadsheet model, and especially how to make sure your spreadsheet remains error-free and robust. Finally, you will also look into how Python, a programming language, can help us with analyzing and manipulating data in spreadsheets. Text Mining and Analytics (University of Illinois at…

    https://www.kdnuggets.com/2015/09/top-20-data-science-moocs.html

  • 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more

    …h Python: Practical Programming for Total Beginners [Buy on Amazon] Al Sweigart, 2015 Learn Python the Hard Way [Buy on Amazon] Zed A. Shaw, 2013 R R Programming for Data Science Roger D. Peng, R Programming Wikibooks, 2014 Advanced R [Buy on Amazon] Hadley Wickham, 2014 SQL Learn SQL The Hard Way…

    https://www.kdnuggets.com/2015/09/free-data-science-books.html

  • CEOs Pursue Data and Analytics for Stakeholder Engagement

    ...eed to work together to make the best use of data analytics for a holistic and dynamic understanding of their customers (as well as workforce). Cyber Security is amongst the top concerns for CEOs with 61% respondents considering it as a threat to their growth prospects. The concern about cyber...

    https://www.kdnuggets.com/2016/01/ceo-data-analytics-stakeholders-engagement.html

  • ICS (Prague): AVAST Fellowship in machine learning and data science

    ...Software (www.avast.com), maker of the most trusted antivirus in the world, protects nearly 200 million people, computers and mobile devices with its security applications. In business for over 25 years, AVAST is one of the pioneers in the computer security business, with a portfolio covering...

    https://www.kdnuggets.com/academic/15/03-09-cas-avast-fellowship-machine-learning-data-science.html

  • Data Analytics Week for Government, Feb 23-25, Washington, DC

    ...s Organization, DHS Shawn Kingsberry, Chief Information Officer, Recovery Accountability and Transparency Board Scott Tousley, Deputy Director, Cyber Security, S&T Department of Homeland Security Dmitry Cousin, Information Technology Specialist, Computer Security Division Dr. Alenka Brown, Sr....

    https://www.kdnuggets.com/2014/11/iqpc-data-analytics-week-government-february-washington-dc.html

  • Security and Intelligence Solutions

    DataWalk, a next-generation enterprise-class software platform to easily connect many large data sets for fast analysis using intuitive visualizations, histograms, link diagrams, maps, and timelines, to support secure, collaborative investigations. IBM solutions help government and commercial...

    https://www.kdnuggets.com/solutions/security-intelligence.html

  • KDnuggets™ News 15:n22, Jul 15: Deep Learning, Empiricism, & Perfect Girl; 50+ Cheat Sheets; R vs Python

    ...ence    Interviews Interview: Ramkumar Ravichandran, Visa on Actionable Insights - Easier Said Than Done Interview: Reiner Kappenberger, HP Security Voltage on Security Checklist for Data Architectures Interview: Reiner Kappenberger, HP Security Voltage on How to Secure Data-in-Motion...

    https://www.kdnuggets.com/2015/n22.html

  • Onboarding Your Machine Learning Program

    ...has not at all lived up to expectation. The truth is, machine learning is no silver bullet. However, that doesn’t mean it’s not immensely helpful to security programs and crucial to the future of cybersecurity, people just need to reconsider the way they use it. Rather than treating it as an...

    https://www.kdnuggets.com/2018/04/onboarding-machine-learning.html

  • A Case For Explainable AI & Machine Learning

    ...individual features, to prevent potential discrimination against protected classes. USE CASE #5: VIDEO TREAT DETECTION The Situation Facilities need security to protect human and physical assets. A typical solution has been a combination of security personnel and use of video feeds. Personnel...

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

  • Streamlining Analytic Deployment: Inside the FICO Decision Management Suite 2.0

    ...rts and audit trails, andenables application developers and system integrators access to deployed decision services through standard APIs with robust security features. The Suite in its current state supports the development of easily deployed, robust decision management solutions, and it is...

    https://www.kdnuggets.com/2016/07/fico-analytic-deployment-decision-management-suite-20.html

  • Big Data Analytics Pain Points

    ...ata can be manipulated at the time of processing mainly because the Big Data processing tools like Hadoop and NoSQL were not originally designed with security in mind. So, organizations are faced with the task of balancing between collecting Big Data and ensuring security and confidentiality....

    https://www.kdnuggets.com/2015/08/big-data-analytics-pain-points.html

  • CRN 50 Emerging Big Data Vendors

    ...mer data for customer retention and identify cross-sell and upsell opportunities. Mountain View, CA. Founded 2009. Gazzang's technology provides data security in big data and cloud computing environments, securing personally identifiable information, preventing unauthorized access to sensitive data...

    https://www.kdnuggets.com/2014/06/crn-50-emerging-big-data-vendors.html

  • Research Scientist

    ...caliber are encouraged to apply. Staff scientists will have an opportunity to blend academic research with leadership in architecting next-generation security systems together with RSA Engineering. Applicants should possess enthusiasm for both cutting-edge research and real-world deployment; also...

    https://www.kdnuggets.com/jobs/13/01-09-rsa-research-scientist.html

  • Penn State: Director for the Institute for CyberScience

    ...ease visit http://apptrkr.com/849210, or ics.psu.edu. CAMPUS SECURITY CRIME STATISTICS: For more about safety at Penn State, and to review the Annual Security Report which contains information about crime statistics and other safety and security matters, please go to www.police.psu.edu/clery/,...

    https://www.kdnuggets.com/jobs/16/07-28-psu-director-institute-cyberscience.html

  • Insurers, the new kids on the blockchain: Everledger, Guardtime and CGSC discuss why

    ...here: http://1.insurancenexus.com/LP=13756 Read the white paper to gain a clearer perspective on how blockchain in insurance can help you to: Improve security and privacy: customer confidentiality and security concerns act as a barrier to insurers, get to grips with the way blockchain circumvent...

    https://www.kdnuggets.com/2016/08/fcbi-insurance-blockchain-everledger-guardtime.html

  • Reaction to NSA Prism Data Mining: Outrage and Shrug

    ...over. He kept dish on everyone. Where do you think Bush and Obama learned it from? Alex Gilgur: Seriously, when you post something public on a social network site of your choice, do you really assume that it will be visible to all in the world, but not to your government? And if you wanted your...

    https://www.kdnuggets.com/2013/06/reaction-to-nsa-prism-data-mining-outrage-shrug.html

  • UPS: Data Analyst

    ...p is responsible for analyzing existing data and analytics approaches, as well as creating/enhancing data and statistical models to support corporate security initiatives. He/She delivers traditional to advanced analytics solutions to the internal and/or external customers by gathering and...

    https://www.kdnuggets.com/jobs/15/09-30-ups-data-analyst.html

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