Summary: Will Automated Predictive Analytics be a boon to professional data scientists or a dangerous diversion allowing well-meaning, motivated but amateur users try to implement… Read More »Automated Predictive Analytics – What Could Possibly Go Wrong?
Originally posted on :Linkedin It’s a known fact that bagging (an ensemble technique) works well on unstable algorithms like decision trees, artificial neural networks and… Read More »Random-ized Forest: A new class of Ensemble algorithms
I invite you to solve these challenges yourself before reading the solutions (for some of these problems) or hints to help you tackle these problems.… Read More »20 Data Science and Mathematical Challenges
We just started in this article to provide answers to one of the largest collection of data science job interview questions ever published, and we… Read More »Answers to dozens of data science job interview questions
Software Development and Data Science While on the job, data scientists are often required to perform a large set of tasks that they are taught… Read More »Critical Skills to Bridge the Gap Between Software Development and Data Science
This article was written by Sara Roberts. As Co-Founder and Principal Consultant at Category One Consulting (C1C), Sara is committed to helping organizations maximize their people… Read More »Talent Analytics…Does Maturity Really Matter?
For the past years, one of the main concerns of businesses and consumers is data security. As technology progresses, digital thieves have become more persistent… Read More »How Data Security Can Protect Your Business
This article was posted by Manish Saraswat on Analytics Vidhya. Manish who works in marketing and Data Science at Analytics Vidhya believes that education can… Read More »40 Interview Questions asked at Startups in Machine Learning / Data Science
Contributed by Wanda Wang. She is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This… Read More »Palming off the Earth: Data, Code, Analysis
We frequently get questions about whether we have chosen all the right parameters to build a machine learning model. There are two scenarios: either we… Read More »Feature engineering for building clustering models
