EmmanuelleRieuf

This article was written by Matthew Rubashkin. With a background in optical physics and biomedical research, Matthew has a broad range of experiences in software… Read More »Getting Started with Deep Learning

This is a nice collection of free eBooks to learn the ropes on topics covering Hadoop, machine learning, Spark, analytics, and more. The Little Bee… Read More »Little Bee books: Tough topics simply explained

This article was written by ML bot2 on Machine Learning in Action. Text mining (deriving information from text) is a wide field which has gained popularity with… Read More »Email Spam Filtering : A python implementation with scikit-learn

This article was posted by Vik Paruchuri.  Introduction Working with large JSON datasets can be a pain, particularly when they are too large to fit into… Read More »Python & JSON: Working with large datasets using Pandas

From NodeXLExcelAutomator, recently updated..  The graph represents a network of 3,210 Twitter users whose tweets in the requested range contained “data science” or #datascience”, or who… Read More »Top Data Science Tweets and Influencers on Twitter

This article was written by Roopam Upadhyay. Roopam is a seasoned professional of advanced analytics with more than a decade of experience in statistical modeling, data… Read More »Intuitive Machine Learning : Gradient Descent Simplified

This infographic was posted by Robert Kelley on Dataiku.  Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In… Read More »An Introduction to Key Data Science Concepts- Infographic

This article was posted by Clara Johnson.  Are you trying to find out how to access the dark web? Well, look no further, we have gone and… Read More »How To Access The Dark Web

This article was written by Adrian Rosebrock. Adrian is an entrepreneur and Ph.D who has launched two successful image search engines, ID My Pill and Chic Engine. Image Source  If… Read More »A simple neural network with Python and Keras