Pranav Dar

27 Amazing Data Science Books Every Data Scientist Should Read

Data science books every data scientist should read. Here is the list of 27 best data science books for aspiring data scientists.

DataHack Radio #15: Exploring the Applications & Potential of Reinforcement Learning with Xander Steenbrugge

A Comprehensive Learning Path for Deep Learning in 2019

Interested in deep learning but don’t know where to start? This article contains a learning path for deep learning to get started in 2019.

The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2025

Complete learning path to become a data scientist in 2024. This article contains resources that will lead you down the path to be a data scientist.

The 15 Most Popular Data Science and Machine Learning Articles on Analytics Vidhya in 2018

List of top 12 best and most popular data and machine learning articles for aspiring data scientists that were published on Analytics Vidhya in 2018.

The 25 Best Data Science and Machine Learning GitHub Repositories from 2018

List of 25 best machine learning and data science github repositories from 2018 with projects divided into different categories.

DataHack Radio #14: Quantum Computing and Quantum Machine Learning with Dr. Mandaar Pande

What is quantum machine learning? What's the job scene like? How can you learn the subject? Find out in this awesome episode with Dr. Mandaar Pande!

A Technical Overview of AI & ML (NLP, Computer Vision, Reinforcement Learning) in 2018 & Trends for 2019

From Google's BERT to Facebook's PyTorch, 2018 was a HUGE year in ML. Find out what else made the news and what to look forward to in the new year!

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.

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