Search results for Penetration Testing Ethical Hacking

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  • 5 Things to Know About A/B Testing

    ...contains information which it actually does, and those who have opened are much more likely to click through.   3. Beware the local minima; A/B testing isn't for everything   A/B testing won't fix everything, as it is not suited for everything. Changing a landing page is probably a good...

    https://www.kdnuggets.com/2018/09/5-things-know-about-ab-testing.html

  • Why A/B Testers Have The Best Jobs In Tech

    ...y for tests to be applied to any combination of segments, or to exclude certain segments. A/B testers must deeply understand the customer.   A/B Testing at Scale Means Testing both UX and Business Policies for Key Processes   A/B testing is focused on what matters most. But how do you...

    https://www.kdnuggets.com/2017/03/ab-testers-best-jobs-tech.html

  • Designing Ethical Algorithms

    ...of machine learning. But how do you make an algorithm ethical? What are the key levers you can pull within your algorithmic design that will make it ethical? Here are 5 areas to consider when designing an ethical algorithm.   What will this algorithm be used for?   Spend some time...

    https://www.kdnuggets.com/2019/03/designing-ethical-algorithms.html

  • Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API">Silver BlogComplete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API

    ...g data. def get_dataset_images(test_path_path, im_dim=32, num_channels=3): """ Similar to the one used in training except that there is just a single testing binary file for testing the CIFAR10 trained models. """ print("Working on testing patch") data_dict = unpickle_patch(test_path_path)...

    https://www.kdnuggets.com/2018/05/complete-guide-convnet-tensorflow-flask-restful-python-api.html

  • 5 Tricks When A/B Testing Is Off The Table

    ...of passing an ed-tech course on earned income. Randomly assigning some people to the “passing” treatment and failing others would be fundamentally unethical, so AB testing is out. Since several hard-to-measure things are correlated with both passing a course and income — innate ability and...

    https://www.kdnuggets.com/2017/12/5-tricks-ab-testing.html

  • Apple: Multivariate Testing Analyst

    ...r solving complex business and analytics problems who can excel in a team environment. Key responsibilities: Quantify and analyze online multivariate testing outcomes through the expert integration of clickstream, web service testing and transactional data Oversee QA to ensure correct capture of...

    https://www.kdnuggets.com/jobs/14/08-06-apple-multivariate-testing-analyst.html

  • Doing Data Science at Twitter

    …that is not yet public, so to understand how these specific users react to it compared to those who don’t (the control group) — this is known as A/B testing, where we get to test which variant, A or B, is better. I personally think A/B testing is one of the unique perks of working for a large…

    https://www.kdnuggets.com/2015/09/data-science-at-twitter.html

  • Must-Know: Key issues and problems with A/B testing

    ...and thus ill-advised. How would you conduct an A/B test on the adoption (or use) of an opt-in feature (i.e. test the actual opting-in)? This would be testing the actual opting in -- such as the testing between 2 versions of a "click here to sign up" feature -- and as such is just a regular A/B test...

    https://www.kdnuggets.com/2017/05/must-know-key-issues-problems-ab-testing.html

  • A Data Analyst guide to A/B testing

    …CTRs increased by almost 15% to 20%. Given couple of messaging choices, marketers often resort to A/B testing to select the best choice. What is A/B Testing? Consider A/B testing as an experiment where two variants of a message are shown to 2 different groups of users. These groups of users…

    https://www.kdnuggets.com/2017/05/data-analyst-guide-ab-testing.html

  • Foot Locker: Sr Manager – Digital Analytics and A/B Testing

    ...LITIES   Essential duties and responsibilities include the following; Collaborate with stakeholders to develop clear and measurable business and testing objectives, and define test KPIs. Design, develop, manage, and analyze A/B tests, multivariate testing, segment-based targeting, and...

    https://www.kdnuggets.com/jobs/18/04-02-foot-locker-manager-digital-analytics.html

  • Weapons of Math Destruction, Ethical Matrix, Nate Silver and more Highlights from the Data Science Leaders Summit

    ...lly is, no company that can claim to be perfect. Big Data does not remove the need for causality. Cathy then dived into three case studies on how the ethical matrix works. An ethical matrix is an artifact of conversation about ethics – or, about stakeholders and concerns.   Case Study 1:...

    https://www.kdnuggets.com/2018/07/domino-data-science-leaders-summit-highlights.html

  • Machine Learning Classification: A Dataset-based Pictorial

    ..._state= 42) After invocation, we are left with: Training feature matrix (X_train), top left (of Figure 6) Training target vector (y_train), top right Testing feature matrix (X_test), bottom left Testing target vector (y_test), bottom right Figure 6: Our training and testing splits, along with...

    https://www.kdnuggets.com/2018/11/machine-learning-classification-dataset-based-pictorial.html

  • Testing Your Machine Learning Pipelines

    ...specialised validation processes. Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.   Testing Pyramid   Your standard simplified testing pyramid looks like this: This pyramid is a representation of the types of tests that you...

    https://www.kdnuggets.com/2019/11/testing-machine-learning-pipelines.html

  • The ultimate guide to starting AI

    ...rward it along. The loss function is for optimization, not for testing. “In applied ML/AI, the loss function is for optimization, not for statistical testing. Statistical testing should ask, “Does it perform well enough to build/launch?” where perform should be defined by the business problem and...

    https://www.kdnuggets.com/2018/11/ultimate-guide-starting-ai.html

  • Stanford Webinar: Pitfalls of A/B Testing

            You're Invited! Free Stanford Webinar Register Now Common Pitfalls of A/B Testing and How to Avoid Them   A/B testing is the process of using randomized controlled experiments on a web page or technology platform to determine which has a higher conversion rate....

    https://www.kdnuggets.com/2017/04/stanford-webinar-pitfalls-ab-testing.html

  • 17 More Must-Know Data Science Interview Questions and Answers, Part 3">Silver Blog, March 201717 More Must-Know Data Science Interview Questions and Answers, Part 3

    ...and thus ill-advised. How would you conduct an A/B test on the adoption (or use) of an opt-in feature (i.e. test the actual opting-in)? This would be testing the actual opting in -- such as the testing between 2 versions of a "click here to sign up" feature -- and as such is just a regular A/B test...

    https://www.kdnuggets.com/2017/03/17-data-science-interview-questions-answers-part-3.html

  • P-values Explained By Data Scientist

    ...of p-values: Hypothesis Testing Normal Distribution What is P-value? Statistical Significance It’ll be fun. 😉 Let’s get started!   1. Hypothesis Testing   Hypothesis Testing   Before we talk about what p-value means, let’s begin by understanding hypothesis testing where p-value is...

    https://www.kdnuggets.com/2019/07/p-values-explained-data-scientist.html

  • Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing

    ...ears relevant industry experience Extensive background in statistical methods and data mining Excellent applied statistics skills, such as hypothesis testing, experimental design, sample size determination and non-parametric statistics Experience with big data systems and distributed computing,...

    https://www.kdnuggets.com/jobs/17/10-20-apple-data-scientist-ab-testing.html

  • Multi-Class Text Classification with Doc2Vec & Logistic Regression

    ...core print('Testing accuracy %s' % accuracy_score(y_test, y_pred)) print('Testing F1 score: {}'.format(f1_score(y_test, y_pred, average='weighted'))) Testing accuracy 0.6683609437751004 Testing F1 score: 0.651646431211616   Distributed Memory (DM) Distributed Memory (DM) acts as a memory that...

    https://www.kdnuggets.com/2018/11/multi-class-text-classification-doc2vec-logistic-regression.html

  • Building Data Systems: What Do You Need?

    ...oyment request processes for the developer with the ability to validate is necessary. Testing/QA   As the level of target scope increases in the testing sequence, testing for data infrastructure applications begins to deviate from traditional applications. While unit testing and basic sanity...

    https://www.kdnuggets.com/2016/06/building-data-systems-need.html

  • New York Community Bank: Sr. Stress Testing Quantitative Risk Modeler

    ...eas. Critically reviews financial regulations and develops quantitative methods that meet regulatory requirements. Performs back-testing, sensitivity testing, and stress testing of models. Identifies and critically evaluates internal loan data elements and external market data for use in risk...

    https://www.kdnuggets.com/jobs/14/12-19-mynycb-stress-testing-quantitative-risk-modeler-sr.html

  • Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing

    ...ms responsible for ranking, recommendation and other algorithms and tackles every type of problem in statistics, including design of experiments, A/B testing, machine learning, importance sampling, hierarchical bayesian models for spelling and synonyms, etc. Key Qualifications: Design and execution...

    https://www.kdnuggets.com/jobs/17/05-12-apple-data-scientist.html

  • Educational Testing Service: Research Director NLP, Speech Processing

    Company: EDUCATIONAL TESTING SERVICE Location: Princeton, NJ Web: www.ets.org ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing...

    https://www.kdnuggets.com/jobs/14/03-12-ets-research-director-nlp-speech-processing.html

  • The Best Metric to Measure Accuracy of Classification Models

    …be the same for Scenario A and D. Testing Metrics Sensitivity Specificity Precision F1 Score MCC 1 0.90 1 1 0.90   Except for MCC all the other testing metrics have changed. Summary of Testing Metrics for all the scenarios: Scenario Sensitivity Specificity Precision F1 Score MCC A 0.90 1.00…

    https://www.kdnuggets.com/2016/12/best-metric-measure-accuracy-classification-models.html

  • The Notebook Anti-Pattern

    .... It would need to be maintained to match the code in the extracted script, or diverge into some more untested chaos. If you want to learn more about testing ML pipelines, check out the article: Testing your ML pipelines. Version control If you have ever had to put a Notebook on git or any other...

    https://www.kdnuggets.com/2019/11/notebook-anti-pattern.html

  • Choosing Between Model Candidates

    ...low error too, but they are just a little higher than an order-5 polynomial. But as we mentioned, that's not the ultimate test. It's the error on the testing data that we really care about. Careful inspection of testing error (solid circles) shows that the fourth-order model does the best job. At...

    https://www.kdnuggets.com/2019/05/choosing-between-model-candidates.html

  • Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing

    ...ears relevant industry experience Extensive background in statistical methods and data mining Excellent applied statistics skills, such as hypothesis testing, experimental design, sample size determination and non-parametric statistics Experience with big data systems and distributed computing,...

    https://www.kdnuggets.com/jobs/18/01-11-apple-data-scientist-evaluation-ab-testing.html

  • Predictive Analytics Innovation Summit, San Diego: Day 2 Highlights

    ...ago helps sales professionals find the right people and companies, engage with relevant insights, and build trusted relationships. Talking about A/B Testing, he displayed the two visual layouts for plan offers and shared results of the test. A/B testing is important because of the following...

    https://www.kdnuggets.com/2015/04/predictive-analytics-innovation-summit-san-diego-day2.html

  • How to Rank 10% in Your First Kaggle Competition

    ...mpetitions use different scoring metrics, which are explained by the question mark on the leaderboard. The score you get is calculated on a subset of testing set, which is commonly referred to as a Public LB score. Whereas the final result will use the remaining data in the testing set, which is...

    https://www.kdnuggets.com/2016/11/rank-ten-precent-first-kaggle-competition.html

  • Ethics should be a part of Data Science Training

    ...s the passion for pure knowledge. Science has nothing to do with ethics. Science is the truth, a pure light which doesn't care about what humans call ethical or unethical. Scientist are looking or better they are called by this light. The real question is should scientist share this truth with the...

    https://www.kdnuggets.com/2015/11/poll-ethics-part-data-science-training.html

  • Ethical Implications Of Industrialized Analytics

    …ise would have lived. As a society, we have accepted that because the number of people saved by wearing a seatbelt is so much higher. We have made an ethical decision to accept some exceptional events and our laws reflect that. You won’t win a lawsuit saying that you were injured due to wearing a…

    https://www.kdnuggets.com/2016/11/ethical-implications-industrialized-analytics.html

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

    ...elopment.   What Do the EU's AI Guidelines Entail?   The EU is not the first governing body in the world to lay out recommendations for the ethical development of artificial intelligence, although its efforts may be some of the most specific to date. During the presidency of Barack Obama,...

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

  • Top KDnuggets tweets, Jun 30 – Jul 06: Click Testing Proved that Beards Are Still A Thing; 16 Free #DataScience Books

    ...st: How Screenshot Click Testing Proved that Beards Are Still A Thing t.co/Xf9m22dTjO t.co/lRFBTHCUcN Most Clicked: Clever Post: How Screenshot Click Testing Proved that Beards Are Still A Thing t.co/Xf9m22dTjO t.co/lRFBTHCUcN Top 10 most engaging Tweets Clever Post: How Screenshot Click Testing...

    https://www.kdnuggets.com/2015/07/top-tweets-jun30-jul06.html

  • Interview: Cliff Lyon, Stubhub on Mastering the Art of Recommendation and Personalization Analytics

    ...of the system. AR: Q2. What approach do you recommend for the selection of the right similarity metric? What are the popular metrics? CL: We use A/B testing to see which metric or combinations of metrics work best. I would certainly recommend that as a general approach. A popular metric is not...

    https://www.kdnuggets.com/2014/07/interview-cliff-lyon-stubhub-recommendation-personalization-analytics.html

  • The Whole Data Science World in Your Hands

    ...ixds.com If you want to test it out, what you hav to do is forklift it and that’s it. There’s also a GitHub repo: FavioVazquez/matrix_languages_tools Testing different tools and languages of MatrixDS. Contribute to FavioVazquez/matrix_languages_tools development by…github.com   Testing Python...

    https://www.kdnuggets.com/2019/06/whole-data-science-world.html

  • Apple: Data Scientist, AMP (A/B Testing, Stat methodology, Hadoop, R)

    ...t industry experience preferred. Extensive background in statistical methods and data mining. Excellent applied statistics skills, such as hypothesis testing, experimental design, sample size determination and non-parametric statistics. Experience with Big Data systems and distributed computing,...

    https://www.kdnuggets.com/jobs/18/03-19-apple-data-scientist-amp.html

  • Top KDnuggets tweets, Jan 12-18: Dilbert looks at #analytics of #dating and A/B testing; Deep Learning and Human Beings

    ...ntations: #DeepLearning and Human Beings #MachineLearning t.co/7bIsRLWRsc t.co/0yJtx9sNZB Most Viewed: Dilbert looks at #analytics of #dating and A/B testing #funny #humor t.co/OZDoDMT3sL t.co/fUHuJDTwSO Most Clicked: A Deep Dive into Recurrent Neural Nets #DeepLearning #MachineLearning...

    https://www.kdnuggets.com/2015/01/top-tweets-jan12-18.html

  • Naive Bayes from Scratch using Python only – No Fancy Frameworks

    ...aaaand Training is Completed !!! Milestone # 3 Achieved 👍 👍 👍 Testing Using Trained NB Model So now that we have trained our NB Model — let’s move to testing! Loading the test set….. Testing on above loaded test examples using our trained NB Model…. Wow! Pretty Good Accuracy of ~ 93% ✌️ See now you...

    https://www.kdnuggets.com/2018/10/naive-bayes-from-scratch-python.html

  • Top KDnuggets tweets, Jan 12-13: Dilbert on analytics of #dating and A/B testing; Convolutional Neural Nets (LeNet)

    ...Must Evolve to give students needed data engineering and #BigData skills t.co/pm9lcsqf37 Most Clicked: Dilbert looks at #analytics of #dating and A/B testing #funny #humor t.co/OZDoDMT3sL t.co/fUHuJDTwSO Top 10 most engaging Tweets Dilbert looks at #analytics of #dating and A/B testing #funny...

    https://www.kdnuggets.com/2015/01/top-tweets-jan12-13.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Democratizing the Benefits of Big Data

    ...nviolable—though most ethics code don't even mention them. What should we do with data that could promote human rights but have been acquired in an unethical way? And what is ethical, actually? The truth is that what ‘we’—different people—consider ‘ethical’ is usually undefined, and may differ a...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-democratizing-benefits-big-data.html

  • Humans & Machines Ethics Framework: Assessing Machine Learning Influence

    ...to avoid the risks that come with the increasing public scrutiny of ethical lapses. Humans & Machines Ethics Canvas helps the issue of deciding on an ethical approach by addressing the following: What should be the base for our ethical approach? How should standards be applied to a specific...

    https://www.kdnuggets.com/2016/10/humans-machines-ethics-framework-influence.html

  • Comparing Machine Learning Models: Statistical vs. Practical Significance

    ...size becomes useful. There’s more to do — we could try to find the power or the test and the optimal sample size. But we’re good for now. Hypothesis testing could be really useful in model comparison if it’s done right. Setting up H0 & H1, calculating the test-statistic and finding the p-value...

    https://www.kdnuggets.com/2019/01/comparing-machine-learning-models-statistical-vs-practical-significance.html

  • Moosejaw: Sr. Manager of Customer Experience and Analytics [Madison Heights, MI]

    ...ty. Don't worry, you won't be expected to do it all by yourself. This leadership role includes a team of four direct reports across email, A/B and UI testing, and data analytics. You will be responsible for prioritizing the team's work around understanding and communicating the customer experience...

    https://www.kdnuggets.com/jobs/19/03-08-moosejaw-sr-manager-customer-experience-analytics.html

  • Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming

    ...are the common problems with A-B testing? What are your recommendations to avoid/mitigate those problems? VD: Well I could speak for hours about A-B testing, so let’s focus on just a few core difficulties. First of all in our industry (free to play games), almost all metrics are very...

    https://www.kdnuggets.com/2015/03/interview-vince-darley-king-analytics-gaming.html

  • ModelOps – Get it done. 3 Day Webinar Mini-Series

    ...Model Development Life Cycle This session will cover the motivation for, and the details of, building an MDLC Day Two (Wednesday, February 20th):A/B testing a model in an AWS environment while simultaneously capturing model lineage data. This session will share an approach to A/B testing a linear...

    https://www.kdnuggets.com/2019/02/opendatagroup-modelops-webinar-series.html

  • Bringing Machine Learning Research to Product Commercialization

    ...ios and risks and therefore also cover the long tail of edge cases. Yet, these cases are very difficult to collect or record in the real world making testing and validation a very challenging, slow and expensive process. One approach we use at Merantix to mitigate these difficulties is...

    https://www.kdnuggets.com/2018/11/bringing-machine-learning-research-product-commercialization.html

  • Step Forward Feature Selection: A Practical Example in Python

    ...random_state= 42) y_train = y_train.ravel() y_test = y_test.ravel() print('Training dataset shape:', X_train.shape, y_train.shape) print('Testing dataset shape:', X_test.shape, y_test.shape)   Training dataset shape: (3673, 11) (3673,) Testing dataset shape: (1225, 11) (1225,)...

    https://www.kdnuggets.com/2018/06/step-forward-feature-selection-python.html

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

    ...y. When the bottle’s name turns green, click on it to go to its web interface. Log into the bottle using your Genie Factory account and password. Backtesting Platform Click on the “Backtesting” link. From “Upload Data Set”, upload each Lending Club .gdz file. These are large files so they may take...

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

  • Is data mining the new tool for gamers seeking pre-launch secrets?

    ...cited to know more about the forthcoming game and use this to plan their activities around launch day. Others refer to it using the plain old term - "hacking" - and abhor it for killing the surprise. The phenomenon of gamers data-mining the game data is particularly interesting given the massive...

    https://www.kdnuggets.com/2014/02/data-mining-tool-gamers-pre-launch-secrets.html

  • 2018’s Top 7 Python Libraries for Data Science and AI">Gold Blog2018’s Top 7 Python Libraries for Data Science and AI

    ...loat64) features = np.delete(tpot_data.view(np.float64).reshape(tpot_data.size, -1), tpot_data.dtype.names.index('class'), axis=1) training_features, testing_features, training_classes, testing_classes = \ train_test_split(features, tpot_data['class'], random_state=42) exported_pipeline =...

    https://www.kdnuggets.com/2019/01/vazquez-2018-top-7-python-libraries.html

  • Cisco: Support Bot Designer/Engineer [Raleigh, NC]

    ...xisting operations. Assist the development team through design and code reviews, partial development and application of reusable components, hands-on testing in multiple levels of test cases, plans, and testing - unit, functional, security, system, user acceptance, and performance - and signoff for...

    https://www.kdnuggets.com/jobs/19/03-05-cisco-support-bot-designer-engineer.html

  • 5 “Clean Code” Tips That Will Dramatically Improve Your Productivity

    ...nd functions make code approximately 9832741892374 times easier to read... But seriously they really do. First off, they allow for very isolated unit testing. If the piece of code you are testing is small, it’s easy to source and debug any issues that come up in the test or during deployment. Small...

    https://www.kdnuggets.com/2018/10/5-clean-code-tips-dramatically-improve-productivity.html

  • KDnuggets Interview: Juan Miguel Lavista, Microsoft Data Science Team

    ...for everyone in the organization that decisions are made based on data and not just hunches. AR: Q5. What are the most common errors done during A/B testing? JML: On the experiment design front, a frequent problem is to have the wrong success criteria. The OEC (overall evaluation criteria) is the...

    https://www.kdnuggets.com/2014/04/exclusive-interview-juan-lavista-principal-data-scientist-microsoft.html

  • Cisco: Machine Learning Engineer/Support Bot Designer [Raleigh, NC]

    ...xisting operations. Assist the development team through design and code reviews, partial development and application of reusable components, hands-on testing in multiple levels of test cases, plans, and testing - unit, functional, security, system, user acceptance, and performance - and signoff for...

    https://www.kdnuggets.com/jobs/19/03-29-cisco-machine-learning-engineer-support-bot-b.html

  • DevOps for Data Scientists: Taming the Unicorn

    ...sion control (and simply import the math functions from the version controlled libraries) or you can use existing tools like nbdime.   Automatic Testing   From a data scientist’s perspective, testing usually fall into one of two camps. You have the usual unit testing which checks if the...

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

  • 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

  • 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

  • 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

  • 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

  • Machine Ethics and Artificial Moral Agents

    ...akes the ethical and purposeful design of machines and algorithms not simply important but necessary. But the problems do not end here. Incorporating ethical principles into our technology development process should not just be a way to prevent human race extinction but also a way to understand how...

    https://www.kdnuggets.com/2017/11/machine-ethics-artificial-moral-agents.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

  • 5 Statistical Traps Data Scientists Should Avoid">Gold Blog5 Statistical Traps Data Scientists Should Avoid

    ...cherry picking significant results in order to advance a narrative (meta cherry picking?). While statistical analysis should move from hypothesis to testing, data dredging involves allowing the results of statistical testing to dictate a conforming hypothesis. It amounts to the difference between...

    https://www.kdnuggets.com/2019/10/statistical-traps-data-scientists-avoid.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

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

    comments By Nezar Assawiel, Machine Learning Developer, Founder at Clinical AI credit: https://www.chessbazaar.com/blog/game-chess-can-make-child-genius-smarter/ To build a well-performing machine learning (ML) model, it is essential to train the model on and test it against data that come from...

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

  • Software development skills for data scientists

    …You write tests that describe the expected behavior of your code and that fail when that behavior is not produced. I’m working on another post about testing for data scientists, so I won’t go into too much detail here, but it’s a very important topic. Your code is going to be interacting with…

    https://www.kdnuggets.com/2015/12/software-development-skills-data-scientists.html

  • Connecting Data Systems and DevOps

    ...lopment (e.g. on every code check in). As Jez Humble and David Farley would say, you want to “bring the pain forward.” By implementing processes like testing and releases in this manner, you can address pain points before they have more serious consequences. Automated testing can, for example, be...

    https://www.kdnuggets.com/2016/06/connecting-data-systems-devops.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

  • Age of AI Conference 2018 – Day 1 Highlights

    ...less computational steps and performed much better than rigid parametric models. It’s very suitable for end to end approaches Microsoft’s Multiworld Testing Decision Service uses RL to make decisions quickly in real time and incorporate new data (based on context) into learned policies, showing a...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-1.html

  • Accenture: Big Data Engineer

    ...amiliarity with agile and DevOps delivery and deployment methodologies, experience with continuous integration, automated code reviews and regression testing using tools such as Atlassian Jira, Confluence, Cloudbees Jenkins, Selenium Grid, SonarQube and Docker Data modelling & data pipeline...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-big-data-engineer.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

  • 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

  • Data Science Data Architecture

    …need to understand business and they need to have IT hacking skills (i.e. ability to get things working in an IT landscape; not to be confused with a penetration/exploit type of hacker). The data scientist does understand more business that an IT person and understands more IT than a business…

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

  • Split on Data Science Skills: Individual vs Team Approach

    ...gers/analysts (just for the US). The latest KDnuggets Poll asked: Which approach is better? Data Science tasks need a rare combination of statistics, hacking, database, business, presentation, and other skills, but finding versatile ("unicorn") data scientists with all the required skills is hard....

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

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

    Dr. Arno Candel is a Physicist & Hacker at H2O.ai. Prior to that, he was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in high-performance computing and had access to the world’s largest...

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

    ...y can arrive at some drastically wrong solutions and, for example, lose their companies lots of money. Note that this isn't how a Venn diagram works. Hacking Skills, for example, should apply to that entire circle, and the part that doesn't intersect with anything should be labeled, e.g. "hackers"....

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

  • Learn Data Science in 8 (Easy) Steps

    ...and for Machine Learning, you should keep an eye out for the content on DataCamp, Stanford Online and Coursera. Step 2. Learn to Code Developing your hacking skills is also one of the things that you need to take into account still if you want to learn data science. You can start by getting...

    https://www.kdnuggets.com/2016/10/learn-data-science-8-steps.html

  • 10 Free Must-read Books on AI">Gold Blog10 Free Must-read Books on AI

    ...ant offering comprehensive infrastructure and analytics solutions for international client teams seeking new insights or data-driven capabilities. 9. Ethical Artificial Intelligence by Bill Hibbard (November 2015, 177 pages). Download. About the book: This book-length article combines several...

    https://www.kdnuggets.com/2019/11/10-free-must-read-books-ai.html

  • Mathematical programming —  Key Habit to Build Up for Advancing Data Science">Gold BlogMathematical programming —  Key Habit to Build Up for Advancing Data Science

    ...pected output and stop there. The essential programming may be done but the scientific experiment does not stop there without further exploration and testing of the hypothesis. We can see that a large number of random throws can be repeated a few times to calculate an average and get a better...

    https://www.kdnuggets.com/2019/05/mathematical-programming-key-habit-advancing-data-science.html

  • Top 10 Statistics Mistakes Made by Data Scientists">Silver BlogTop 10 Statistics Mistakes Made by Data Scientists

    ...e not that different but that might not always be the case. mixed out-sample CV mse 0.187 true out-sample CV mse 0.181   7. Incorrect out-sample testing: cross-sectional data & panel data   You were taught cross-validation is all you need. sklearn even provides you some nice...

    https://www.kdnuggets.com/2019/06/statistics-mistakes-data-scientists.html

  • Top Machine Learning Software Tools for Developers">Gold BlogTop Machine Learning Software Tools for Developers

    ...velopers. These tools are indispensable when it comes to saving time on development, but the initial processes of planning and the final processes of testing, QA, and deployment will require skilled developers. Bio: S andra Parker is a Business Developer at QArea, Software Development & QA...

    https://www.kdnuggets.com/2019/11/top-machine-learning-software-developers.html

  • Intuit: Sr Data Scientist – Business Analytics [Mountain View, CA]

    ...tter expert in marketing data Collaborate with marketing teams to drive insights, tactics, forecasts, and visions. Work with Marketing to drive A/B/N testing designs and measures. Qualifications 5+ years of experience in Marketing Analytics & A/B Testing 5+ years of experience in generating and...

    https://www.kdnuggets.com/jobs/19/03-07-intuit-data-scientist-business-analyst.html

  • A Single Function to Streamline Image Classification with Keras

    ...ing training. Voila! The function finds the relevant images (130 of them in total) and trains the model, 4 per batch, i.e. 33 steps per epoch.   Testing our model   So, we saw how easy it was to just pass on the training images’ directory address to the function and train a CNN model with...

    https://www.kdnuggets.com/2019/09/single-function-streamline-image-classification-keras.html

  • Scikit-Learn & More for Synthetic Dataset Generation for Machine Learning

    ...aussian mixture models, it is useful to have clusters generated in a special shape. We can use datasets.make_circles function to accomplish that. For testing non-linear kernel methods with support vector machine (SVM) algorithm, nearest-neighbor methods like k-NN, or even testing out a simple...

    https://www.kdnuggets.com/2019/09/scikit-learn-synthetic-dataset.html

  • Corios: Data Engineer

    ...rocess Collaborate with IT in client organizations to design and test the data acquisition and ETL processes Perform unit testing, system integration testing, and user acceptance testing and fix defects found by testing Provide expert guidance and assistance to colleagues in other functional areas...

    https://www.kdnuggets.com/jobs/16/04-18-corios-data-engineer.html

  • How Different are Conventional Programming and Machine Learning?

    ...max(processedTrainingLabel, axis=1) == sess.run(prediction, feed_dict={inputTensor: processedTrainingData, outputTensor: processedTrainingLabel}))) # Testing predictedTestLabel = sess.run(prediction, feed_dict={inputTensor: processedTestingData})   c. Test the model wrong = 0 right = 0...

    https://www.kdnuggets.com/2018/12/different-conventional-programming-machine-learning.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

  • Corios: Junior Database Engineer

    ...requirements and functional specifications into technical specifications as part of the development process Perform unit testing, system integration testing, and user acceptance testing and fix defects found by testing Provide guidance and assistance to colleagues in other functional areas Skills...

    https://www.kdnuggets.com/jobs/16/05-18-coriosgroup-junior-database-engineer.html

  • Interview: Peter Alvaro, UC Berkeley, on Consistency Challenge in Distributed Systems

    ...talk, I contrasted “bottom-up verification” approaches (e.g., using a model checker to verify individual components such as protocols) with “top-down testing” approaches (e.g., using a combination of integration testing and fault injection, as do systems like Chaos Monkey (and other monkeys) at...

    https://www.kdnuggets.com/2014/12/interview-peter-alvaro-berkeley-distributed-systems.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

  • Microsoft: Principal Data Scientist

    ...owing: Scala, Java, Python, Perl, PHP, C++ or C#. Experience working with Hadoop, Pig/Hive, Spark, MapReduce Understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo. Strong algorithmic problem-solving skills....

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

  • Corios: Junior Data Engineer

    ...requirements and functional specifications into technical specifications as part of the development process Perform unit testing, system integration testing, and user acceptance testing and fix defects found by testing Provide guidance and assistance to colleagues in other functional areas  ...

    https://www.kdnuggets.com/jobs/16/11-03-corios-junior-data-engineer.html

  • Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

    ...in the cluster is held in a virtual machine. These tests were also executed on the same servers without virtualization present and the result of the testing were compared. Here is one example of the results. These types of systems train a model with a large set of example data to begin with, so...

    https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.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

  • 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

  • Deep Misconceptions About Deep Learning

    ...ditionally, I have an answer to another set of semi-relevant questions that allow me to make new tweaks and design changes to optimise further. While testing those tweaks I might get new and novel results, so I start exploring again. If you do this long enough, you can move up the ladder from...

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

  • 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

  • How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?">Gold BlogHow Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?

    ...niform, normal, binomial, chi-square, student’s t-distribution, central limit theorem, d) sampling, measurement, error, random numbers, e) hypothesis testing, A/B testing, confidence intervals, p-values, f) ANOVA, g) linear regression, h) power, effect size, testing means, i) research studies and...

    https://www.kdnuggets.com/2017/12/mathematics-needed-learn-data-science-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

  • Software Engineering vs Machine Learning Concepts

    ...y, model reuse creates strong coupling between components which can be problematic if one component is changed. Testing - I find the role of software testing in machine learning to be the trickiest issue of all. Without a doubt testing is necessary, but the challenge in using something like...

    https://www.kdnuggets.com/2017/03/software-engineering-vs-machine-learning-concepts.html

  • Data Anonymization – History and Key Ideas

    ...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 to do is...

    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

  • 42 Essential Quotes by Data Science Thought Leaders

    …th/stats and hacking skills, it is much better to acquire a grounding in one or more subjects than in adding yet another programming language to your hacking skills, or yet another machine learning algorithm to your math/stats portfolio…. Clients will rather work with some data scientist A who…

    https://www.kdnuggets.com/2017/05/42-essential-quotes-data-science-thought-leaders.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

  • 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

  • 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

  • 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

  • 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

  • Artificial Friend or Virtual Foe

    ...idi et al. (2018) highlight twenty different action points for a Good AI Society. Their analysis has a strong focus on Europe and concerns policy and ethical issues, but for the sake of using AI for good, I believe a few of those points are really cornerstones. Assessing tasks that should not be...

    https://www.kdnuggets.com/2019/12/artificial-friend-virtual-foe.html

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

    ...people and be empowered to reach your professional and personal goals. Our employees are the foundation of what makes MassMutual a strong, stable and ethical business. We seek and value unique and varied perspectives and experiences because we believe we are stronger when all voices are heard. We...

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

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

    ...s a field have no idea what norms they are using or standards they are enforcing. OpenAI seems to be the only industrial lab publicly considering the ethical implications of their machine learning research. Even if they are primarily motivated by greed or driving hype, I think the issues they are...

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

  • 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

  • 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

  • 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

  • Asimov’s 4th Law of Robotics

    ...at book like 50 years ago, so the movie “I, Robot” with Will Smith is actually more relevant to me today. The movie does a nice job of discussing the ethical and moral challenges associated with a society where robots play such a dominant and crucial role in everyday life. Both the book and the...

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

  • BMS: Analytical Trending Expert

    ...ssential and acts as single point of contact and develops effective partnership with MS&T trending groups into Commercial Analytics. Supports the testing of BMS Biologics by both internal and external resources. Supports analytical methods and analytical change control as needed throughout the...

    https://www.kdnuggets.com/jobs/14/01-16-bms-analytical-trending-expert.html

  • Exclusive: Cognitive Mining, Data Mining, and StatSoft – Interview with Dr. Thomas Hill

    ...ture of data analysis, and if so how? TH: See also the response to Q1. Obviously, there is and always will be applications for statistical hypothesis testing and modeling. In particular in science, it remains critical that evidence for theories and theoretical understanding of reality is advanced...

    https://www.kdnuggets.com/2013/10/cognitive-mining-data-mining-interview-statsoft-thomas-hill.html

  • Know CUDA? Join Accelerate Diagnostics in saving lives as Sr. Software Engineer

    …concept generation, participating in design and data reviews, development and testing to assess performance against design specification; reliability testing, and assessment of system interactions. Makes independent decisions. Assist in the development of manufacturing processes and troubleshooting…

    https://www.kdnuggets.com/jobs/13/07-22-acceleratediagnostics-sr-software-engineer-diagnostics.html

  • Galit Shmueli: Designing a Business Analytics Program: Structure and Content

    …atistical Analysis 3: Advanced statistical models (censoring and truncation, modeling count data, handling missing values, design of experiments (A/B testing and beyond)) Data Collection (Web data collection, online surveys, experiments) Data Mining 1: Supervised Learning – Predictive Analytics…

    https://www.kdnuggets.com/2013/08/galit-shmueli-designing-a-business-analytics-program-structure-content.html

  • Statistics Software

    ...on of statistical and analytical tools via the web. StatEL, Statistical analysis add-in for Excel for common statistical testing, medical statistical testing and factor analysis, with extensive help for non-professional statisticians. STATISTICA, a comprehensive, integrated statistical data...

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

  • BMS: Analytical Control Statistician

    ...ssential and acts as single point of contact and develops effective partnership with MS&T trending groups into Commercial Analytics. Supports the testing of BMS Biologics by both internal and external resources. Supports analytical methods and analytical change control as needed throughout the...

    https://www.kdnuggets.com/jobs/14/02-11-bms-analytical-control-statistician-b.html

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