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5 Best Machine Learning GitHub Repositories & Reddit Discussions (November 2018)

This article is a collection of the most useful machine learning and deep learning GitHub repositories and Reddit discussions created in November 2018.

Building a Random Forest from Scratch & Understanding Real-World Data Products (ML for Programmers – Part 3)

This article covers different Machine learning applications in business and necessary steps for Building a Random Forest from Scratch in Python.

Highlights from DataHack Summit 2018 – a Truly Overwhelming and Resounding Success!

4 Secrets for a Future Ready Career in Data Science

DataHack Summit 2018 is Almost Here – WHERE HUMANS MEET ARTIFICIAL INTELLIGENCE

Here is what you can expect from DataHack Summit 2018 - More than 25 power talks, 15 Hack sessions and 9 entralling Workshops!

DataHack Radio #13: Data Science and AI in the Oil & Gas Industry with Yogendra Pandey, Ph.D.

What are the applications of AI in the oil and gas domain? Yogendra Pandey joins us to uncover this pertinent question & more on the DataHack Radio podcast!

Must Read Books for Beginners on Machine Learning and Artificial Intelligence

Best AI books for beginners, mid-senior level professionals. Find summary, buy links and best features of best books for machine learning.

5 Amazing Machine Learning GitHub Repositories & Reddit Threads from September 2018

We list down the best machine learning and deep learning GitHub repositories and Reddit discussions from September, 2018 in this article.

Building DataHack Summit 2018 – India’s Most Advanced AI Conference. Are you Ready?

We are less than two months away from DataHack Summit 2018! Preparations are in full swing. Check out all the latest updates and speakers in this article.

The Winning Approaches from codeFest 2018 – NLP, Computer Vision and Machine Learning!

This article lists down all the winning approaches to the recently concluded Analytics Vidhya and IIT-BHU codeFest hackathon series.