Topics: Coronavirus | AI | Data Science | Deep Learning | Machine Learning | Python | R | Statistics

Search results for Penetration Testing Ethical Hacking Development Programming

    Found 487 documents, 11350 searched:

  • More Free Data Mining, Data Science Books and Resources

    ...istic Gaussian processes. It’s about supervised learning problems, describing models and solutions related to machine learning. Inductive Logic Programming Techniques and Applications by Nada Lavrac and Saso Dzeroski, 1994.An old book about inductive logic programming with great theoretical...

    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

    ...ython-data-analysis/ Date: Sept 20, 27, Oct 4, 11, 18 Time: 1:00pm - 5:00pm This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We covered the most popular...

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

  • 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

  • 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

  • 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 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

    Most Popular Last Week Object-oriented programming for data scientists: Build your ML estimator, by Tirthajyoti Sarkar Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal, by Simpliv New Poll: Data Science Skills Top Handy SQL Features for Data Scientists R Users Salaries...

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

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

    Most popular @KDnuggets tweets for May 01-07 were Most Retweeted: #ReinforcementLearning vs. Differentiable Programming https://t.co/dRxWINcwfQ https://t.co/x1R7S9Ym2I Most Favorited: Another 10 Free Must-See Courses for Machine Learning and Data Science https://t.co/Humu1CqAea...

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

  • 6 Goals Every Wannabe Data Scientist Should Make for 2019

    ...language. R and SQL are a couple of other frequently used languages in data science, making them worth investigation. But, as they work to grow their programming language prowess, people must remember it's more helpful for them to know one or two programming languages exceptionally well, rather...

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

  • 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

    ...te the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and...

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

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

    ...ation for Excel. GAtree, genetic induction and visualization of decision trees (free and commercial versions available). Genalytics GA3, uses genetic programming to dynamically build predictive models. GenIQ Model, automatically data mines for new variables, performs variable selection, and then...

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

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

    Most popular @KDnuggets tweets for Feb 20 - 26 were: Most Retweeted, Favorited & Clicked: Learning programming languages for free: GitHub's best guides for Python developers https://t.co/6fc7jvMyhE https://t.co/3evgQB4Av8 Most Viewed: How to Automatically Import Your Favorite Libraries into...

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

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

    ...ing Data Scientists Most Shared Last Week Top 20 Python AI and Machine Learning Open Source Projects, by Ilan Reinstein - Feb 20, 2018. Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch, by Fuat Beser - Feb 20, 2018. Want a Job in Data? Learn This - Feb 19, 2018. A...

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

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

    ...mpetitive market position and reflecting 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....

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

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

    ...dom Fields, Topic Modeling, Game Theory, Mechanism Design, etc.) Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.) Strong hands-on experience with statistical packages and ML libraries (e.g. R, Python scikit learn, Spark MLlib,...

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

  • 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

  • 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

  • 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

  • American Family Insurance: Data Science Manager

    ...rs, both internal and external, to gather the data to build best in class data solutions. Interact with company senior leadership as well as Business Development and Strategic Data & Analytics (SD&A) leadership to assist in the development of the strategic direction of data science.  ...

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

  • OpenText Data Driven Digest Aug 21: College Majors, Hacking Glory, Innovation Performance

    …Statistically Significant: Scientists are sometimes accused of adjusting their experiments to yield the answers they want. This practice is called p-hacking (for p-value) and is explained in a fine FiveThirtyEight article by Christie Aschwanden, Science Isn’t Broken – It’s just a hell of a lot…

    https://www.kdnuggets.com/2015/08/opentext-digest-aug21-college-hacking-innovation.html

  • Reproducibility, Replicability, and Data Science

    ...tices researchers engage in, like p-hacking, which make expecting your results to replicate unreasonable. Significant: https://xkcd.com/882/   P-Hacking P-hacking (also known as data dredging or data fishing) is the process in which a scientist or corrupt statistician will run numerous...

    https://www.kdnuggets.com/2019/11/reproducibility-replicability-data-science.html

  • Interview: Arno Candel, H2O.ai on the Journey from Physics to Machine Learning

    ...portive of my early efforts. I’ve always liked computers and the idea of using them to simulate the real world with scientific algorithms. I remember programming an asteroid collision video game in BASIC as a teenager. And I’ve also always liked physics, especially remote-controlled airplanes and...

    https://www.kdnuggets.com/2015/01/interview-arno-candel-h2o-physics-machine-learning.html

  • Do you need a Masters Degree to become a Data Scientist?

    ..., Mixed Models, etc. And finally in my current role (starting 2012), I learned MS SQL and Tableau. I also did my first and very challenging SAS Macro programming which is more than 800 lines of code and will accomplish the same tasks that used to take weeks, in about a day. All the...

    https://www.kdnuggets.com/2014/06/masters-degree-become-data-scientist.html

  • Big Data Architecture: A Complete and Detailed Overview

    ...ral patterns and designs, the concepts and protocols behind network communication and information transfer, and ends with a discussion of application programming interfaces (APIs) and software development kits (SDKs). The third and final article brings together all of the concepts and techniques...

    https://www.kdnuggets.com/2017/09/big-data-architecture-overview.html

  • Covid-19, your community, and you — a data science perspective">Gold BlogCovid-19, your community, and you — a data science perspective

    ...sick leave, so have to go to work.     We don’t have good information in the US   One of the big issues in the US is that very little testing is being done, and testing results aren’t being properly shared, which means we don’t know what’s actually happening. Scott Gottlieb, the...

    https://www.kdnuggets.com/2020/03/covid-19-your-community-you-data-science-perspective.html

  • How to Check Hypotheses with Bootstrap and Apache Spark

    ...s subset. This process gives you a histogram which is an actual distribution for your data. Then, you can use this actual distribution for hypothesis testing. The beauty of this method is the actual distribution histogram. In a classical statistical approach, you need to approximate a distribution...

    https://www.kdnuggets.com/2016/01/hypothesis-testing-bootstrap-apache-spark.html

  • Beginners Guide: Apache Spark Machine Learning with Large Data

    ...ouble] print("Prediction: "+ prediction) Let’s evaluate the quality of the model based on training dataset. val testingResult = model.transform(testing) val testingResultScores = testingResult .select("Prediction", "Label").rdd .map(r => (r(0).asInstanceOf[Double], r(1)...

    https://www.kdnuggets.com/2015/11/petrov-apache-spark-machine-learning-large-data.html

  • Data Mining Most Vexing Problem Solved, or is this drug REALLY working?

    ...me more tests based on those results? This is what we call a 'hypotheses cascade'. Until now, they were no methods that could help you avoid multiple testing errors in such a situation. In the paper, we solve this problem through the use of a 'risk budget'. The idea is that you start with a budget...

    https://www.kdnuggets.com/2016/07/petitjean-data-mining-multiple-hypothesis.html

  • TensorFlow: Building Feed-Forward Neural Networks Step-by-Step">Silver BlogTensorFlow: Building Feed-Forward Neural Networks Step-by-Step

    ...ting out of the training loop, the neural network will be trained and ready for predicting unknown samples. In line 48, two new samples were used for testing the network accuracy. # Predicted classes of some testing data print("Expected Class Scores : ", sess.run(fetches=predictions,...

    https://www.kdnuggets.com/2017/10/tensorflow-building-feed-forward-neural-networks-step-by-step.html

  • Build Dog Breeds Classifier Step By Step with AWS Sagemaker

    ...sp;   The training job   For the model training job I needed to specify the class of each image and which images to assign for training and testing (validation). To do that, I generated a set of tab delimited text files, one for training and one for testing...

    https://www.kdnuggets.com/2020/06/build-dog-breeds-classifier-aws-sagemaker.html

  • Identifying Variables That Might Be Better Predictors

    ...esult, fail enough in their testing of different combinations of variables to feel personally confident in the results of the final model. After much testing and failing – and testing and failing – and testing and failing, the data science team came up with an “Attrition Score” model that had...

    https://www.kdnuggets.com/2017/02/schmarzo-variables-better-predictors.html

  • What to do when your training and testing data come from different distributions

    ...bsp; To better follow the discussion here, you can read up on the following basic ML concepts, if you are not familiar with them already: Train, dev (development), and test sets: Note that the dev set is also called the validation or the hold-on set. This post is a good short introduction to the...

    https://www.kdnuggets.com/2019/01/when-your-training-testing-data-different-distributions.html

  • 5 Must-Read Data Science Papers (and How to Use Them)

    ...” authors about flaws in how the machine learning community evaluates good ideas.   #5 — Releasing the death-grip of null hypothesis statistical testing (p < .05)   Classical hypothesis testing leads to over-certainty and produces the false idea that causes have been identified via...

    https://www.kdnuggets.com/2020/10/5-must-read-data-science-papers.html

  • Brain Monitoring with Kafka, OpenTSDB, and Grafana

    ...e they weren’t well-publicized in either Kafka’s or Confluent’s documentation. Streams application   Importing libraries To use Confluent’s unit testing utility classes, you’ll need to build the a couple of JAR files and install them in your local Maven repository since they are not yet (at...

    https://www.kdnuggets.com/2016/08/brain-monitoring-kafka-opentsb-grafana.html

  • Deep Misconceptions About Deep Learning

    ...cs and processes to understand along the way. The Design Process I think of the design process the same way a child tries to build a tower of bricks, testing along the way. Poking, prodding, failing, but always testing. Is the second layer of the tower too wobbly? Should I change the base? It is...

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

  • Microsoft: Principal Data Scientist

    ...uild algorithms for calculating variances. Apply data analysis, data mining and data engineering to present data clearly and develop experiments (A/B testing) Ensure high-quality data and understand how data is generated out of experimental designs and how these experiments produce actionable,...

    https://www.kdnuggets.com/jobs/16/10-07-exp-platform-principal-data-scientist.html

  • Skynet Is Real: The History and Future of Factories With No Workers

    ...ion. David runs the Privacy-PC.com project which presents expert opinions on contemporary information security matters, including social engineering, penetration testing, threat intelligence, online privacy, and white hat hacking. As part of his work at Privacy-PC, Mr. Balaban has interviewed such...

    https://www.kdnuggets.com/2020/03/skynet-real-history-future-factories-no-workers.html

  • Data Anonymization – History and Key Ideas

    ...ommunity to really move to something closer to adversarial privacy,” de Montjoye tells TechCrunch. “We need to start adopting the red team, blue team penetration testing that has become standard in security. “At this point it’s unlikely that we’ll ever find a perfect system, so I think what we need...

    https://www.kdnuggets.com/2019/10/data-anonymization-history-key-ideas.html

  • Applying Data Science to Cybersecurity Network Attacks & Events

    ...to get into cybersecurity during my undergrad in college. What intrigued me was understanding the concepts of malware, network security, penetration testing & the encryption aspect that really plays a role in what cybersecurity really is. Being able to protect the infrastructure is important...

    https://www.kdnuggets.com/2019/09/applying-data-science-cybersecurity-network-attacks-events.html

  • KDnuggets™ News 15:n13, Apr 29: The Myth of Model Interpretability; Comprehensive Data Mining Textbook

    ...and how to ensure that the benefits of Big Data reach the masses. Interview: Emmanuel Letouze, Data-Pop Alliance on the Role of Big Data in Economic Development - Apr 23, 2015. We discuss the emerging Big Data ecosystem, its key players, and the severe consequences of inadequate statistical...

    https://www.kdnuggets.com/2015/n13.html

  • Hacking in silico protein engineering with Machine Learning and AI, explained

    By Kamil Tamiola, Founder of Peptone. Proteins It is safe to say proteins are building blocks and the machinery which defines living matter. In the last 70 years tremendous progress has been made in their isolation, production, characterization, and finally engineering. Although great advancements...

    https://www.kdnuggets.com/2017/07/hacking-silico-protein-engineering-machine-learning.html

  • How to Job Interview a Data Scientist

    …ver ends well. For instance, a data scientist focused mostly on research will likely need to be much stronger in math and statistics than she will in hacking skills. But she’ll still need those hacking skills, as they will play a critical role in finding opportunistic ways to optimize the systems…

    https://www.kdnuggets.com/2017/11/how-job-interview-data-scientist.html

  • Battle of the Data Science Venn Diagrams">Gold BlogBattle of the Data Science Venn Diagrams

    ...in knowledge is at least part of what he meant, the idea is that a physicist, say, would have expertise in physics and math/stats knowledge, but lack hacking knowledge (I've met many physicists and I think that's less true than it used to be). Machine Learning experts tend to apply algorithms...

    https://www.kdnuggets.com/2016/10/battle-data-science-venn-diagrams.html

  • Join RE•WORK & AI experts in London, Boston and Hong Kong – KDNUGGETS discount

    ...from Lionbridge, Abhishek Gupta from District 3 & McGill University, Cathy Pearl from Sensely and Jake Metcalf from Ethical Resolve. The ethical implications of AI will be a focal point over the coming months and years, and we are excited to announce Andreas...

    https://www.kdnuggets.com/2018/02/rework-ai-experts-london-boston-hong-kong.html

  • Machine Learning Meets Humans – Insights from HUML 2016

    …the distinction between learning by experimentation (in vitro) and learning by doing (in vivo). Among the ideas presented was a proposal for special testing zones. Already, many technologies are rolled out systematically with testing phases. Google for example conducts extensive betas internally…

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

  • 4 Common Data Fallacies That You Need To Know

    ...acies that we’ve identified. Data Dredging This is also sometimes known as data fishing, data snooping, or p-hacking. It’s the practice of repeatedly testing new hypotheses against the same set of data, failing to acknowledge that most correlations will be the result of chance. Tests for...

    https://www.kdnuggets.com/2017/12/4-common-data-fallacies.html

  • Top KDnuggets tweets, Feb 16-17: Most Popular Coding Languages of 2015; History of Data Science across 5 strands

    ...e Things should be Difficult to Use: Pleasure of Mastery, Exclusivity, Danger = safer t.co/L5dMyobrtw t.co/C44Yz6NzGH Automatic Statistician and the Profoundly Desired Automation for Data Science t.co/NksAs59DSN Data Scientist Vincent Granville @AnalyticBridge Shares his Growth Hacking Secrets...

    https://www.kdnuggets.com/2015/02/top-tweets-feb16-17.html

  • R and Hadoop make Machine Learning Possible for Everyone

    ...nity is in the growing area of Machine Learning. Machine Learning is the New Kid on the Block Data Science was first described as the intersection of programming or “hacking skills”, math and statistics along with business expertise according to Drew Conway’s blog. As it turns out, programming is...

    https://www.kdnuggets.com/2014/11/r-hadoop-make-machine-learning-possible-everyone.html

  • Microsoft: Senior Data Scientist

    ...liarity and/or contributions with open source software stack. Experience in modern web development (HTML5, JavaScript, jQuery, etc.) and design. Data hacking skills and knowledge in various analytical programming languages and frameworks: Hadoop/MapReduce, SCOPE, R, Python.   Microsoft is an...

    https://www.kdnuggets.com/jobs/15/12-03-microsoft-senior-data-scientist.html

  • Unicorn Data Scientists vs Data Science Teams

    ...ments to that list above, not less. Regarding hiring, I wouldn't expect junior candidates to be experts in everything, but that is where training and development come in. John Rauser of Pinterest has a great talk on the different paths towards becoming a data scientist here:...

    https://www.kdnuggets.com/2013/12/unicorn-data-scientists-vs-data-science-teams-discussion.html

  • Top Datapreneurs in data science

    …io. He has won various kaggle competitions in automated essay scoring and stock trading in the year 2012. His expertise lies in machine learning, web development and mobile development. He completed his graduation from University of Maryland. More than just knowledge, data quest allows you to work…

    https://www.kdnuggets.com/2015/09/top-datapreneurs-data-science-analyticsvidhya.html

  • Sentiment Analysis & Predictive Analytics for trading. Avoid this systematic mistake

    …based on 15 observations, as if the model had correctly called 13 out of 15 coin flips. Beyond the obvious problem with very small samples, Bollen is testing whether market direction is systematic under the testing condition that market direction is random. This general approach is problematic for…

    https://www.kdnuggets.com/2016/01/sentiment-analysis-predictive-analytics-trading-mistake.html

  • Netflix Data Science Interview Questions: Acing the AI Interview">Silver BlogNetflix Data Science Interview Questions: Acing the AI Interview

    ...level execs) second time. There is a mix of product, business, analytical and statistical questions. Statistical questions mostly revolve around A/B testing: hypothesis testing. There are a couple of SQL questions too. Analytical questions usually includes a hypothetical problem to analyze and...

    https://www.kdnuggets.com/2018/06/netflix-data-science-interview-questions-acing-the-ai-interview.html

  • Model Evaluation Metrics in Machine Learning">Silver BlogModel Evaluation Metrics in Machine Learning

    ...s understand this concept using hypothesis testing. A Hypothesis is speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false. A Null Hypothesis is a hypothesis that says...

    https://www.kdnuggets.com/2020/05/model-evaluation-metrics-machine-learning.html

  • Machine Learning Workflows in Python from Scratch Part 1: Data Preparation">Gold Blog, May 2017Machine Learning Workflows in Python from Scratch Part 1: Data Preparation

    ...dels, we need some data, and need to make sure this data conforms to some reasonable expectations. For testing purposes (not in the sense of training/testing, but testing our infrastructure), we will use the iris dataset, which you can download here. Given that various versions of the dataset can...

    https://www.kdnuggets.com/2017/05/machine-learning-workflows-python-scratch-part-1.html

  • Machine Learning Model Metrics

    ...tor this code later to ingest from our statically-typed transactional data. This sample data will just allow us to get the basics of our training and testing process set up quickly. Note that we're also using a less sophisticated method of splitting our data between training and testing than we did...

    https://www.kdnuggets.com/2018/01/machine-learning-model-metrics.html

  • Big Data Analytics in Hotel Industry

    …re you implementing a marketing campaign, but the conversion rates of your landing pages are not as anticipated? An easy solution is to resort to A/B testing. A/B testing is the act of running a simultaneous experiment between two or more pages to see which performs or converts the best. Energy…

    https://www.kdnuggets.com/2015/09/big-data-analytics-hotel-industry.html

  • Deepfakes Security Risks

    ...ion. David runs the Privacy-PC.com project which presents expert opinions on contemporary information security matters, including social engineering, penetration testing, threat intelligence, online privacy, and white hat hacking. As part of his work at Privacy-PC, Mr. Balaban has interviewed such...

    https://www.kdnuggets.com/2020/01/deepfakes-security-risks.html

  • How Can Data Scientists Mitigate Sensitive Data Exposure Vulnerability?

    ...g with sensitive information, you should ideally opt for the one that supports cryptographic hashing function. Simulate Retrospective Hacking Attack: Penetration testing can be used to identify the weak areas in your environment before a hacker can exploit them. Simulate a real ­life hacking...

    https://www.kdnuggets.com/2016/08/data-scientists-mitigate-sensitive-data-exposure-vulnerability.html

  • AI: Arms Race 2.0

    ...he West would likely rely on: Focusing on fostering global collaboration, including researchers and companies from places like China Investing in the development of frameworks for ethical usage of AI, while also paying attention to not putting undue restrictions on the initiative of private...

    https://www.kdnuggets.com/2019/03/ai-arms-race-20.html

  • The (Not So) New Data Scientist Venn Diagram

    ...relevant quote from Kolassa's introduction to the diagram when he unveiled it on the Data Science Stack Exchange forums last fall: I still think that Hacking Skills, Math & Statistics Knowledge and Substantive Expertise (shortened to "Programming", "Statistics" and "Business" for legibility) are...

    https://www.kdnuggets.com/2016/09/new-data-science-venn-diagram.html

  • The Ethics of AI

    ...ers’ behaviors and analyzing patterns. Do they use the data or sell them to third parties in a responsible manner? What are the guidelines for making ethical choices by industry? The ethics includes different aspects of AI such as fairness, bias in AI, explainable artificial intelligence,...

    https://www.kdnuggets.com/2020/10/ethics-ai-qa-farzindar.html

  • Asimov’s 4th Law of Robotics

    ...nd who to spare. In the article “Why Mercedes’ Decision To Let Its Self-Driving Cars Kill Pedestrians Is Probably The Right Thing To Do”, Mercedes is programming its cars to save the driver and kill the pedestrians or another driver in these no-time-to-hesitant, life-and-death decisions. Riddle me...

    https://www.kdnuggets.com/2017/09/asimov-4th-law-robotics.html

  • New Jobs Sure to Emerge Alongside Artificial Intelligence

    ...onundrums about where people and technology intersect. Fear comes along with any dramatic change, and while it’s good to talk about contingencies and ethical limits on technology, it’s unlikely that mass layoffs and human obsolescence are in the near future.   AI Is Solving New Problems, but...

    https://www.kdnuggets.com/2018/10/new-jobs-sure-emerge-alongside-artificial-intelligence.html

  • PAW Healthcare’s Agenda Highlights, plus 3 other PAWS in Vegas – Save ’til Friday

    ...randomized controlled trial. Casey Gentry Senior Manager Engineering/ Analytics  Acxiom Jamie Netherton Senior Analyst Acxiom The Ethical Use of Big Data in Healthcare With the advent of big data and machine learning, there is an opportunity to combat rising healthcare costs by...

    https://www.kdnuggets.com/2019/03/paw-healthcare-agenda-highlights-las-vegas.html

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

    ...y major that combines CS and Statistics with project-oriented classes, an applied domain, a practicum, and an internship. Writing, communication, and ethical handling of data are emphasized throughout. Granville, OH. KPMG Master of Accounting with Data and Analytics Program, in association with...

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

  • Microsoft: Applied Researcher

    ...ctively understand the data coming your way, and pooling the analytical and human resources necessary to solve fundamentally difficult problems. Data hacking skills and knowledge in various analytical programming languages and frameworks: Hadoop/MapReduce, R, SQL, Python. Deep understanding of web...

    https://www.kdnuggets.com/jobs/14/04-26-microsoft-applied-researcher.html

  • Analytics, Security, Deep Learning, IoT, Data Science Online Courses

    ...ssing data, and indirect treatment comparisons, among other topics. The course assumes introductory knowledge of R. There will be a brief review of R programming in the first part of the course and links to other statistics.com courses for those who need a more extensive refresher. After completion...

    https://www.kdnuggets.com/2016/08/statisticscom-intelligence-security-analytics-online-courses.html

  • Catenus: Data Science Apprenticeship Program

    ...ls include a mastery of statistics and machine learning, and the ability to tell the difference between these two fields. Apprentices should have the hacking proficiency to code any idea regardless of programming language. Nobody can understand those who cannot communicate. You should be able to...

    https://www.kdnuggets.com/jobs/16/05-02-catenus-data-science-apprenticeship-program.html

  • AspenTech: Principal Data Scientist

    ...cations: MS in Computer Science or a related major. PhD in a highly quantitative area is a plus. 8+ years of experience in data analysis and software development. Experience building large scale production services from the ground up. Top notch programming skills. Focus on C++, C#, Python. Hands-on...

    https://www.kdnuggets.com/jobs/16/12-19-aspentech-principal-data-scientist.html

  • Arterys: Machine Learning Engineer

    ....g., AWS, GCP, Azure) Develop and support data and model cataloging Optimize training efficiency via parallelization, caching and merciless low-level hacking Keep our cloud costs under control Work with Arteys production DevOps team to ensure systems are scalable and secure Requirements 3+ years of...

    https://www.kdnuggets.com/jobs/17/10-09-arterys-machine-learning-engineer.html

  • KDnuggets™ News 14:n15, Jun 18

    ...e Algorithm that Runs the World Can Now Run More of It - Jun 13, 2014. The most important algorithm, used for optimizing almost everything, is linear programming. New advances allow linear programming problems to be solved faster using the new commercial parallel simplex solver. Top 10 Data...

    https://www.kdnuggets.com/2014/n15.html

  • Training Sets, Test Sets, and 10-fold Cross-validation

    ...n   With this method we have one data set which we divide randomly into 10 parts. We use 9 of those parts for training and reserve one tenth for testing. We repeat this procedure 10 times each time reserving a different tenth for testing. Let’s look at an example. Suppose I want to build a...

    https://www.kdnuggets.com/2018/01/training-test-sets-cross-validation.html

  • 10 things statistics taught us about big data analysis

    ...incredibly successful prediction algorithm, is based on a similar idea with classification trees. When testing many hypotheses, correct for multiple testing. This comic points out the problem with standard hypothesis testing when many tests are performed. Classic hypothesis tests are designed to...

    https://www.kdnuggets.com/2015/02/10-things-statistics-big-data-analysis.html

  • 5 Reasons Why You Should Use Cross-Validation in Your Data Science Projects

    ...ew speaker, our results will be much worse. The proper way to do it is to split the speakers, i.e., use 2 speakers for training and use the third for testing. However, then we’ll test our algorithm only on one speaker. It is not enough. We need to know how our algorithm performs on different...

    https://www.kdnuggets.com/2018/10/5-reasons-cross-validation-data-science-projects.html

  • Customer Analytics Summit 2014 Chicago: Day 1 Highlights

    ...and paid monthly subscription. Business having Netflix like subscription models are concerned with getting more subscribers. Talking about conversion testing he said that standard techniques do not succeed and need longer testing lead times. Regarding experimentation cycle, for faster results, one...

    https://www.kdnuggets.com/2014/09/customer-analytics-summit-2014-chicago-day1.html

  • Avoid Overfitting with Regularization

    ...training. Some cats have not the irises color yellow. Our case in which the used features are powerful for the training samples but very poor for the testing samples is known as overfitting. The model is trained with some features that are exclusive to the training data but not existing in the...

    https://www.kdnuggets.com/2018/02/avoid-overfitting-regularization.html

  • Machine Learning Security

    ...inst malicious users, we should also be proactive with model security risk. Just as institutions have Application Security Review groups that do e.g. penetration testing of software, we will need to build Model Security Review groups that serve a similar function. One thing is for sure: this...

    https://www.kdnuggets.com/2019/01/machine-learning-security.html

  • 6 Lessons Learned in 6 Months as a Data Scientist

    ...insecurities common across the profession, etc. The podcasts I listen to on the day-to-day have helped me feel engaged and up-to-date on fast-moving developments in data science. Here are my favorite podcasts right now: Resources to Supercharge your Data Science Learning in 2020 Recently I’ve been...

    https://www.kdnuggets.com/2020/10/6-lessons-6-months-data-scientist.html

  • June 1 Hackathon at the White House – apply by Apr 19

    ...ants who built apps and visualizations based on the new API for We the People - the White House petition system. For the June 1 National Day of Civic Hacking, participants will focus on producing full, production ready apps and visualization tools that will be featured on the We the People website...

    https://www.kdnuggets.com/2013/04/national-day-civic-hacking-at-white-house.html

  • New Poll: Should Data Science Include Ethics Training?

    ...lling cigarettes, that would be bad from her point of view. But if it is used to find teens at risk for suicide, that would be good. To take an extreme example, if a janitor discovers a live baby in the garbage, we expect that a janitor will save the baby even he or she did not undergo ethical...

    https://www.kdnuggets.com/2015/10/new-poll-data-science-ethics-training.html

  • RE•WORK Deep Learning Summit Montreal Panel of Pioneers Interview: Yoshua Bengio, Yann LeCun, Geoffrey Hinton

    ...might 10 20 years we don’t know Hinton: Or it might take a week! So moving away from the technicalities and towards the ethical implications - which ethical aspects are most likely to keep you up at night? Bengio: Well for me it’s the miss-use of AI and products we’re making. For example I’m...

    https://www.kdnuggets.com/2017/10/rework-interview-yoshua-bengio-yann-lecun-geoffrey-hinton.html

  • 3 Big Problems with Big Data and How to Solve Them

    ...thical and legal), as well as strategies to address them should be at the core of any Big Data implementation. Bio: Elena Yakimova is the Head of Web Testing Department at software testing company a1qa. She started her career in QA in 2008. Now Elena’s in-house QA team consists of 115 skilled...

    https://www.kdnuggets.com/2019/04/3-big-problems-big-data.html

  • Data Science and Ethics – Why Companies Need a new CEO (Chief Ethics Officer)

    ...eep the discrimination down to zero at the same time. This is likely not an intentional outcome but does highlight the need for more awareness around ethical implications of models/ algorithms. Need for a Chief Ethics Officer Inappropriate use of data science methods can lead to erroneous...

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

  • 6 Books About Open Data Every Data Scientist Should Read

    ...of a “consequentialist” reading of modern trends in open data, making it an important resource for scientists who want to know more about the civic, ethical and political implications of a world that transmits and analyzes information on an unprecedented scale.   5. "Open Data Now: The Secret...

    https://www.kdnuggets.com/2019/02/6-books-open-data-every-data-scientist-read.html

  • OpenAI’s GPT-2: the model, the hype, and the controversy

    ...ity? Where is the line between research that is harmless and research that is dangerous? How can we responsibly engage with journalists to have these developments covered accurately? In this case, is GPT-2 benign enough that it should have been released fully? Should OpenAI have provided limited...

    https://www.kdnuggets.com/2019/03/openai-gpt-2-model-hype-controversy.html

  • Five Principles for Applying Data Science for Social Good

    ...ication through which diverse parties gain a greater understanding of and respect for each other - into those frameworks. Otherwise we'll forever be "hacking" social change problems, creating tools that are "fun," but not "functional." 4. We need diverse viewpoints To tackle sector-wide challenges,...

    https://www.kdnuggets.com/2015/10/five-principles-data-science-social-good.html

  • Ethics + Data Science: opinion by DJ Patil, former US Chief Data Scientist

    ...omething similar, we definitely want to hear from you on what works and what doesn’t). Ideas about how to implement more ethical behaviors in product development process including a dissent channel if you disagree with the team. How we can start interviewing talent for cultural fit as well as...

    https://www.kdnuggets.com/2018/09/ethics-data-science.html

  • Interview: Michael Berthold, KNIME Founder, on Research, Creativity, Big Data, and Privacy, Part 2

    ..."No silver bullet" - No silver bullet: De-identification still doesn't work paper] What are your thoughts about Privacy and Big Data - will there be ethical guidelines for Privacy? EU privacy rules are much stricter than US - what are the implications? MB: I am curious about that myself. I don't...

    https://www.kdnuggets.com/2014/08/interview-michael-berthold-knime-research-big-data-privacy-part2.html

  • Data for Humanity – Open Letter

    ...with the goal to bring people and institutions together who share the motivation to use data for the common good. The letter suggests following five ethical principles when using data: Do no harm Use data to help create peaceful coexistence Use data to help vulnerable people and people in need Use...

    https://www.kdnuggets.com/2017/02/data-humanity-open-letter.html

  • Top 10 Amazon Books in Data Mining, 2016 Edition">Silver BlogTop 10 Amazon Books in Data Mining, 2016 Edition

    ...matics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This...

    https://www.kdnuggets.com/2016/11/top-10-amazon-books-data-mining.html

  • Insights from Data Science Handbook

    …ing techniques, rules, computational complexity, latency, data products, data engineering, statistical inference, R programming, data wrangling, data hacking, statistical modeling, supervised / unsupervised learning, data visualization, unstructured data and many other subjects that make the world…

    https://www.kdnuggets.com/2015/05/insights-from-data-science-handbook.html

  • What makes a great data scientist?

    …eses which need to be either rejected or proved, and they ask a lot of questions, even if they are 99.9% sure they know the answer. Wait – what about programming, statistics, math, hacking? The fact of the matter is – you must have the technical skills and a strong basic foundation to be hired as a…

    https://www.kdnuggets.com/2017/03/what-makes-great-data-scientist.html

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

    …n data, it will have to store and process huge volumes of datasets. For that, it will need a sound data management and processing system. Summary The development of data theft detection systems represents a change in the approach towards data theft in a sense. It is good that enterprises are…

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

  • Gaming Analytics Summit 2015, San Francisco – Day 2 Highlights

    ...sting talk on "Holding Effective Data Meetings with Game Teams". One of the challenges faced by game analysts is holding effective meetings with game development teams that lead to actionable results. In addition to providing automated reporting, one of the key functions of the data team at...

    https://www.kdnuggets.com/2015/05/gaming-analytics-summit-san-francisco-highlights-day2.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

  • KDnuggets™ News 14:n01, Jan 8

    ...4, 2014.BigML was used to create over 600,000 predictive models in 2013; Winter 2014 release makes big advances in speed and programmability, and new development mode allows you to run unlimited tasks of up to 16 MB for FREE. Courses, Events CUNY Online MS in Data Analytics - Jan 7, 2014.CUNY SPS...

    https://www.kdnuggets.com/2014/n01.html

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

    ...oll: Data Science Skills - Individual vs Team Approach ( comments) - Jan 7, 2014. Data Science positions tasks need a rare combination of Statistics, Hacking, Database, Business, and other skills. New KDnuggets Poll is asking which approach is better for filling Data Science Positions - Individual...

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

  • Cal Poly State University: Director, Business Analytics Graduate Programs

    ...ollaboratively in a team environment. Strong commitment to excellence in serving clients and constituents. Exhibit high standards of professionalism, ethical conduct and confidentiality required of a licensed professional. Proven leadership and supervisory skills with the ability to establish and...

    https://www.kdnuggets.com/jobs/15/11-03-calpoly-director-business-analytics-graduate-programs.html

  • CrowdSignals.io, Building Big Mobile Social Sensor dataset

    …built the CrowdSignals.io Platform and Legal Framework, a “Large Hadron Collider for Mobile and IoT Data Science”, it automates robust, low-cost, and ethical data collection campaigns using a crowd of informed, consenting, and paid smart device owners across the United States. When Phase 1 of the…

    https://www.kdnuggets.com/2016/03/crowdsignals-io-big-mobile-social-sensor-dataset.html

  • Big Data and Humanitarian Efforts

    ...ut the probability of a resident being infected with malaria and the chance that a visitor to a stated area would be infected on any given day. These developments are incredibly impressive and when you consider that mobile phone penetration in Africa has hit 80% and is still on the up, some 4.2 %...

    https://www.kdnuggets.com/2014/10/big-data-humanitarian-efforts.html

  • Brandman University: Assistant Director of Marketing Analytics

    ...as well as predictive analytics behind all marketing campaigns. These tasks span the area of prospect analytics, customer (student) analytics, market penetration and saturation, and life-cycle management analytics. Some examples of such projects will be segmentation, lift and correlation...

    https://www.kdnuggets.com/jobs/15/03-19-brandman-assistant-director-marketing-analytics.html

  • New Poll: Data Science Skills – Individual vs Team Approach

    comments By Gregory Piatetsky, Jan 7, 2014. Data Science positions (and tasks) usually need a combination of Statistics, Hacking, Database, Business, Presentation, and other skills. I know a few such such versatile ("unicorn") data scientists, but they are rare and there are not enough of them to...

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

  • Top KDnuggets tweets, Apr 5-7: Need to know both sides: Intro to SAS for R programmers; The importance of stupidity in research

    ...r.com/kdnuggets ) for Apr 5-7 were Most viewed: The (unexpected) importance of stupidity in scientific research bit.ly/Z1l6y1 Most Retweeted: Extreme hacking: an actual regexp used to parse Twitter log messages c 2010 pic.twitter.com/7efzQ2jY9G Most Favorited: You need to know both sides: an...

    https://www.kdnuggets.com/2013/04/top-tweets-apr5-apr7.html

  • Big Data Will Rule Your Home

    ...box set binges – that would be detrimental to your performance and utterly irresponsible. On a more sinister note, if organised crime got into “home hacking”, how easy would it be to turn all these devices against you? When something happens at the click of a button, there is always a minute...

    https://www.kdnuggets.com/2016/03/big-data-rule-home.html

  • The “Thinking” Part of “Thinking Like A Data Scientist”

    ...s Vegas (that should set off your stress alerts), on Monday, May 2, 12:00 PM – 1:00 PM. I promise not to stress you out! Optional Reading: Hypothesis Testing,Null Hypothesis and p-values Nerd Warning! I’m going to try to explain the p-value, but to do that I also need to explain the concepts of...

    https://www.kdnuggets.com/2016/04/thinking-part-thinking-like-data-scientist.html

  • Seven Reasons to Take This Course Before You Go Hands-On with Machine Learning

    ...ven in the most technical of courses, but are fundamental to achieving objectives in marketing and beyond. Prevalent pitfalls. Key pitfalls such as p-hacking and “the accuracy fallacy” seldom receive the attention they deserve. Data preparation. Hands-on courses typically begin with loading...

    https://www.kdnuggets.com/2020/09/siegel-course-machine-learning.html

  • Future of Consumer Intelligence 2014: Day 1 Highlights

    ...lected talks along with the key takeaways. Here are highlights from Day 1 (May 19, 2014): John Havens, Founder, The H(app)athon Project, and Author, “Hacking H(app)iness: Why Your Personal Data Counts and how Tracking it can Change the World” gave a talk titled “Hacking H(app)iness – How to Give...

    https://www.kdnuggets.com/2014/07/future-consumer-intelligence-2014-highlights-day1.html

  • An Intuitive Guide to Deep Network Architectures

    …s. ResNet is one of my personal favorite developments in the neural network world. So many deep learning papers come out with minor improvements from hacking away at the math, the optimizations, and the training process without thought to the underlying task of the model. ResNet fundamentally…

    https://www.kdnuggets.com/2017/08/intuitive-guide-deep-network-architectures.html

  • They Want to Get Rid of Me! (Data Scientist Lament)

    …and systems, data scientists are expensive. Forbes reported that “unicorn data scientists”, those special people who are subject matter experts with hacking and statistical skills, can earn $240,000 annually[1]. As tools become easier to use and the people who use them become more available, the…

    https://www.kdnuggets.com/2017/04/they-want-get-rid-me-data-scientist.html

  • Be Smarter Than Your Devices: Learn About Big Data

    ...t subjects for research studies through iPhone apps and taps into Apple Watch data. The implications for privacy, consent, sharing of data, and other ethical issues, are enormous. The Apple Watch likely won’t be the only device in the near future to prompt these kinds of concerns. It all leads to...

    https://www.kdnuggets.com/2015/04/be-smarter-than-your-devices-learn-about-big-data.html

  • Explainable Artificial Intelligence

    ...ecially in banks, insurance companies, healthcare providers and other regulated industries. The reason is mainly that they are prone to legal or even ethical requirements which tend to limit more and more the use of black box models. Such institutions are answerable for their decisions and process...

    https://www.kdnuggets.com/2019/01/explainable-ai.html

  • 3 Ways to Manage Human Bias in the Analytics Process

    ...avoid setting expectations from the start. The process should be a collaborative one—you may need to educate the business decision-maker on the most ethical and accurate way to go about answering their business question, and that’s OK. It’s tricky, but it is possible to address the ask while also...

    https://www.kdnuggets.com/2019/09/manage-human-bias-analytics-process.html

  • DSGO19 Announces Speakers and Training Sessions

    ...ization & Presentation Hacks for Data Scientists Saving Puppies with Pandas Beyond bi-grams: How to Make Friends with Product Managers Are you an Ethical Technologist? Build your Ethical Imagination Building Machine Learning-Powered Web Applications for the Business Workshops are presented by...

    https://www.kdnuggets.com/2019/07/formulated-dsgo19-speakers-training-sessions.html

  • 5 Ways to Apply Ethics to AI

    ...of the decisions that they have made. He reminds us of Goodhart’s law: “When a measure becomes a target, it ceases to be a good measure.” “We have an ethical obligation not to teach our machines to be prejudiced,” he adds. For example, in the US, there are more men than women in tech roles. So...

    https://www.kdnuggets.com/2019/12/5-ways-apply-ethics-ai.html

  • Goodhart’s Law for Data Science and what happens when a measure becomes a target?">Silver BlogGoodhart’s Law for Data Science and what happens when a measure becomes a target?

    ...r outcome could help to better contextualize data. Chris Wiggins, Chief Data Scientist at the New York Times, provides four useful steps for creating ethical computer algorithms to avoid harmful outcomes: Start by defining your principles. I’d suggest [five in particular], which are informed by the...

    https://www.kdnuggets.com/2020/10/goodharts-law-data-science-measure-target.html

  • Data Science Code of Professional Conduct and “Golden Rule”

    ...or example American Institure of CPAs Code of Professional Conduct Society of Actuaries Code of Professional Conduct The Web Analyst's Code of Ethics Ethical Guidelines for Statistical Practice ACM Code of Ethics. Typically, the codes of conduct are long and bureaucratic, but perhaps one can...

    https://www.kdnuggets.com/2013/03/data-science-code-professional-conduct-proposal.html

  • ELMo: Contextual Language Embedding

    ...tive semantic search engine in just a few minutes! This is magical! The matches go beyond keywords, the search engine clearly knows that ‘ethics’ and ethical are closely related. We find hits for both a code of integrity and also ethical standards and policies. Both relevant to our search query but...

    https://www.kdnuggets.com/2019/01/elmo-contextual-language-embedding.html

  • Industry AI, Analytics, Machine Learning, Data Science Predictions for 2020

    ...nd ethics best practices drive more on-premise AI deployments: As more organizations experiment with more data for their AI initiatives, security and ethical use of AI will become more and more important. Chief among the concerns in this arena are data leaks, especially with personally identifiable...

    https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-industry.html

  • Top KDnuggets tweets, Jun 11-12: Huge Big Data poster; “Data science” misses half the equation

    Most popular @KDnuggets tweets for Jun 11-12 were Most viewed: Huge Big Data Poster and Reference http://bit.ly/1hMcEi5 Most Retweeted: Proposed ethical guidelines for Twitter data mining: clear objectives, protect anonymity, don't link to other data buff.ly/1q9ba41 Most Favorited: "Data science"...

    https://www.kdnuggets.com/2014/06/top-tweets-jun11-12.html

  • A Case For Explainable AI & Machine Learning

    ...Accurate, if you are a White Guy; Steve Lohr, NY Times, Feb 2018 https://nyti.ms/2BNurVq [9] This past April, the Council of Europe adopted European Ethical Charter on the use of artificial intelligence in judicial systems...

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

  • New Poll: Should there be a Data Scientist Pledge?

    Does Data Science require ethical behavior, and what do we mean by it? New KDnuggets Poll is asking: This poll is now closed, but here are the results of KDnuggets Poll: Should there be a Data Scientist / Analytics Professional Pledge? What should this pledge contain? New doctors have a...

    https://www.kdnuggets.com/2013/03/new-poll-data-scientist-pledge-code-conduct.html

  • Should Data Science Really Do That?

    ...er or race. Other industries are less restrictive, which means it is often up to companies to self-regulate. This self-regulation may be motivated by ethical concerns of individual stakeholders, or by fears of a public backlash if they were found to systematically discriminate against people. The...

    https://www.kdnuggets.com/2015/05/should-data-science-do-that.html

Refine your search here:

Sign Up

By subscribing you accept KDnuggets Privacy Policy