-
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!
Pranav Dar 13 Jun, 2019
-
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!
Pranav Dar 06 May, 2019
-
WNS Hackathon Solutions by Top Finishers
This article covers the top three solutions shared by the winners for WNS online hackathon conducted on 14th-16th September.
Aishwarya Singh 06 May, 2019
-
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.
Pranav Dar 06 May, 2019
-
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.
Aishwarya Singh 25 Oct, 2024
-
Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python
ULMFiT is an essential method to enable transfer learning for NLP tasks. This is a tutorial on Text Classification using ULMFiT & Fastai library in Python
Prateek joshi 30 Apr, 2020
-
Reinforcement Learning: Monte Carlo in Reinforcement Learning
This detailed article covers an introduction to the Monte Carlo Reinforcement Learning and its Implementation in Python using OpenAI Gym.
Ankit Choudhary 15 Oct, 2024
-
Top 5 Machine Learning GitHub Repositories & Reddit Discussions (October 2018)
This article lists down the most awesome machine learning and deep learning GitHub repositories and Reddit discussions from October 2018!
Pranav Dar 06 May, 2019
-
An Intuitive Guide to Interpret a Random Forest Model using fastai library (Machine Learning for Programmers – Part 2)
Interpreting random forest model using fastai library in python using various techniques like dependence & tree interpreters in machine learning.
Aishwarya Singh 27 Aug, 2021
-
MADRaS: A Multi-Agent DRiving Simulator for Autonomous Driving Research
MADRaS is an open source, lightweight, multi-agent extension of Gym-TORCS with OpenAI Gym API. It is a multi agent driving simulator for autonomous research
Guest Blog 07 May, 2020
