- KDnuggets™ News 21:n16, Apr 28: Data Science Books You Should Start Reading in 2021; Top 10 Must-Know Machine Learning Algorithms for Data Scientists - Apr 28, 2021.
Data science is not about data – applying Dijkstra principle to data science; Data Science Books You Should Start Reading in 2021; How to ace A/B Testing Data Science Interviews; Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1; Production-Ready Machine Learning NLP API with FastAPI and spaCy
A/B Testing, Algorithms, API, Books, Data Science, Interview, NLP, Statistics
How to ace A/B Testing Data Science Interviews - Apr 22, 2021.
Understanding the process of A/B testing and knowing how to discuss this approach during data science job interviews can give you a leg up over other candidates. This mock interview provides a step-by-step guide through how to demonstrate your mastery of the key concepts and logical considerations.
A/B Testing, Data Science, Interview Questions
- KDnuggets™ News 21:n14, Apr 14: A/B Testing: Common Questions and Answers in Data Science Interviews; Interpretable Machine Learning: The Free eBook - Apr 14, 2021.
Common Questions and Answers on A/B testing in Data Science Interviews; Interpretable Machine Learning: The Free eBook; Why machine learning struggles with causality; Deep Learning Recommendation Models: A Deep Dive; and more.
A/B Testing, Causality, Free ebook, Interpretability, Machine Learning
- A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 2 - Apr 8, 2021.
In this second article in this series, we’ll continue to take an interview-driven approach by linking some of the most commonly asked interview questions to different components of A/B testing, including selecting ideas for testing, designing A/B tests, evaluating test results, and making ship or no ship decisions.
A/B Testing, Career Advice, Data Science, Data Scientist, Interview Questions
- A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 1 - Apr 1, 2021.
In this article, we’ll take an interview-driven approach by linking some of the most commonly asked interview questions to different components of A/B testing, including selecting ideas for testing, designing A/B tests, evaluating test results, and making ship or no ship decisions.
A/B Testing, Career Advice, Data Science, Data Scientist, Interview Questions
- Why Do Machine Learning Projects Fail? - Feb 24, 2021.
At the beginning of any data science project, many challenges could arise that lead to its eventual collapse. Making sure you look ahead -- early in the planning -- toward putting your resulting model into production can help increase the chance of delivering long-term value with your developed machine learning system.
A/B Testing, Failure, Machine Learning, Model Drift, Production, Project Fail
- Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing - Apr 28, 2020.
The book Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing by Ron Kohavi (Microsoft, Airbnb), Diane Tang (Google) and Ya Xu (LinkedIn) is available for purchase, with the authors proceeds from the book being donated to charity.
A/B Testing, Bing, Book, Design of Experiments
- ModelOps – Get it done. 3 Day Webinar Mini-Series - Feb 15, 2019.
Join us for an educational series ModelOps - Get it done. Learn how a combination of technology and processes can help solve modelOps.
A/B Testing, AWS, Deployment, DevOps, ModelOps, Open Data Group, Predictive Modeling
- 5 Things to Know About A/B Testing - Sep 7, 2018.
This article presents 5 things to know about A/B testing, from appropriate sample sizes, to statistical confidence, to A/B testing usefulness, and more.
A/B Testing, Applied Statistics, Psychology, Statistics
- Deep Conversations: Lisha Li, Principal at Amplify Partners - May 3, 2018.
Mathematician Lisha Li expounds on how she thrives as a Venture Capitalist at Amplify Partners to identify, invest and nurture the right startups in Machine Learning and Distributed Systems.
Pages: 1 2
A/B Testing, Adversarial, AI, Capsule Networks, Deep Learning, Interview, Machine Learning, Mathematics, Pinterest, Startups, Stitch Fix, VC
- Foot Locker: Sr Manager – Digital Analytics and A/B Testing - Apr 2, 2018.
Seeking a candidate to lead strategy and instrumentation of analytics, personalization, and continuous optimization through A/B/N testing for Foot Locker websites, mobile applications, and partner integrations.
A/B Testing, Analytics, Bradenton, FL, Foot Locker
- Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing - Jan 11, 2018.
Seeking a Data Scientist that can derive valuable insights and help us build automated reporting tools from the data we collect on AppStore, Apple Music, Movies & TV, etc.
A/B Testing, Apple, CA, Cupertino, Data Scientist
- 5 Tricks When A/B Testing Is Off The Table - Dec 8, 2017.
Sometimes you cannot do A/B testing, but it does not mean we have to fly blind - there is a range of econometric methods that can illuminate the causal relationships at play.
Pages: 1 2
A/B Testing, Econometrics, Regression, Statistics
- Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing - Oct 20, 2017.
Seeking a Data Scientist that can derive valuable insights and help us build automated reporting tools from the data we collect on AppStore, Apple Music, Movies & TV, etc.
A/B Testing, Apple, CA, Cupertino, Data Scientist
- Optimizing Web sites: Advances thanks to Machine Learning - Jul 17, 2017.
Machine learning has revitalized a nearly dormant method, leading to a powerful approach for optimizing Web pages, finding the best of thousands of alternatives.
Pages: 1 2
A/B Testing, Bayesian, Machine Learning, Marketing, Optimization
- Must-Know: Key issues and problems with A/B testing - May 22, 2017.
A look at 2 topics in A/B testing: Ensuring that bucket assignment is truly random, and conducting an A/B test on an opt-in feature.
A/B Testing, Interview Questions
- Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing - May 12, 2017.
Seeking a talented Data Scientist to join the Apple Media Products Evaluation Team, to define, track, validate, and report relevance metrics and recommendation algorithms, to communicate quality, help prioritize projects, and improve algorithms.
A/B Testing, Apple, CA, Cupertino, Data Scientist
- A Data Analyst guide to A/B testing - May 9, 2017.
A/B testing is key to improving results in any marketing campaign. We examine the issues involved in its 3 main components: message variants, user group selection, and choosing the winning version.
A/B Testing, CleverTap, Marketing Analytics
- Stanford Webinar: Pitfalls of A/B Testing - Apr 21, 2017.
Join Ramesh Johari, Associate Professor, Stanford Department of Management Science & Engineering, as he discusses some common practices and pitfalls in A/B testing, Apr 26, 2017.
A/B Testing, Best Practices, Stanford
- Why A/B Testers Have The Best Jobs In Tech - Mar 22, 2017.
Learning about what these people do made it clear that when you are deeply involved in A/B testing at scale, there is a tremendous rush from doing so many different things that matter.
A/B Testing, Skills, Statistics
17 More Must-Know Data Science Interview Questions and Answers, Part 3 - Mar 15, 2017.
The third and final part of 17 new must-know Data Science interview questions and answers covers A/B testing, data visualization, Twitter influence evaluation, and Big Data quality.
Pages: 1 2
3Vs of Big Data, A/B Testing, Big Data, Data Quality, Data Science, Data Visualization, Influencers, Interview Questions, Statistics, Twitter
- Doing Data Science at Twitter - Sep 16, 2015.
Data scientist career exciting, fulfilling and multidimensional career path. Understand through the journey of a data scientist of twitter about data scientists roles, responsibilities and skills required to perform them.
Pages: 1 2 3
A/B Testing, Data Science Skills, Data Science Tools, Machine Learning
- Interview: Ramkumar Ravichandran, Visa on Actionable Insights – Easier Said Than Done - Jul 14, 2015.
We discuss Analytics at Visa, adapting to the Big Data world, gaps between expectations and delivery from Analytics, delivering Actionable Insights, and tools/technologies used.
A/B Testing, Analytics, Decision Making, Insights, Interview, Ramkumar Ravichandran, Tools, Visa
- Predictive Analytics Innovation Summit, San Diego: Day 2 Highlights - Apr 8, 2015.
Highlights from the presentations by Predictive Analytics leaders from eBay, LinkedIn and Facebook on day 2 of Predictive Analytics Innovation Summit 2015 in San Diego.
Pages: 1 2
A/B Testing, CA, eBay, Facebook, IE Group, LinkedIn, Marketing, Predictive Analytics, San Diego
- Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming - Mar 18, 2015.
We discuss key characteristics of social gaming data, ML use cases at King, infrastructure challenges, major problems with A-B testing and recommendations to resolve them.
A/B Testing, Analytics, Gaming, Infrastructure, King.com, Machine Learning, Predictive Analysis, Vince Darley
- Interview: Cliff Lyon, Stubhub on Mastering the Art of Recommendation and Personalization Analytics - Jul 18, 2014.
We discuss challenges in designing recommendation and personalization systems, how to select the right metrics, and learning regarding presentation of recommendation on different channels.
A/B Testing, Algorithms, Cliff Lyon, Experimentation, Metrics, Personalization, Recommendation, StubHub
- KDnuggets Interview: Juan Miguel Lavista, Microsoft Data Science Team - Apr 30, 2014.
We discuss Randomized Controlled Experiments, common errors during A/B testing, Correlation vs. Causality, Big Data Myths and setting up realistic expectations from Big Data and more...
A/B Testing, Big Data Hype, Correlation, Interview, Juan Lavista, Microsoft
