Sample Projects for Data Scientists in Training
Here is a list of potential projects to help you complete your master in data science or in a related field. Project #8: Detecting fake reviews on Amazon Business and A...
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A Common Data Analysis Pattern with a Simple Solution in R
It seems that much of the data analysis work I’ve done over the last few months has followed a “script”. First, identify data, often government-sponsore...
Book: Artificial Intelligence with Python
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you. About This Book Step into the amazing world of inte...
Difficult Probability Problem: Distribution of Digits in Rogue Systems
I recently posted a table summarizing probabilistic properties of digits in various number representation systems, see here. The topic is already rather difficult for w...
15 Great Articles About Decision Trees
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Selected Recent Articles from Top DSC Contributors – Part 6
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
Cool Video: An Unexpected Use of AI and IoT to Enjoy Music
Back to the heydays of Youtube, when it was all about amateur videos. Here, with a modern twist: A guy (me) dancing while listening to music produced by the Alexa show. Y...
Book: Blockchain Basics
In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledg...
Book: The Master Algorithm
Full title: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World – February 13, 2018. About the Author Pedro Domingos is a profe...
Your Journey to Data Science Maturity (by Kirk Borne)
Great, short visual summary produced by Kirk Borne. Highlights: Computational Ask the right questions Design thinker Willingness to fail Participate in competitions Team ...