The Machine & Deep Learning Compendium
An open knowledge-sharing project . Hi! Nearly a year ago I announced the Machine & Deep Learning Compendium, a Google document that I have been curating for the last 4...
A Bird’s Eye View of Research on Attention
The scientific study of attention began in psychology, where careful behavioral experimentation can give rise to precise demonstrations of the tendencies and abilities of attention in different circumstances. – Attention in...
An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab
Get an Introduction to Reinforcement Learning by attempting to balance a virtual CartPole with OpenAI Gym, RLlib, and Google Colab. In particular, this tutorial explores: What is Reinforcement LearningThe OpenAI...
Industry vs Academia in Machine Learning
What things to consider while deciding Choosing careers in itself is difficult. Add the time commitment of 5–6 years for a PhD as compared to the lucrative industry job and...
Top 18 Low-Code and No-Code Machine Learning Platforms
Machine learning becomes more accessible to companies and individuals when there is less coding involved. Especially if you are just starting your path in ML, then check out these low-code...
Decision Tree Algorithm – A Complete Guide
What is a Decision Tree? It is a tool that has applications spanning several different areas. Decision trees can be used for classification as well as regression problems. The name...
The Machine Learning Journey Of Aishwarya Srinivasan
Analytics India Magazine got in touch with Aishwarya Srinivasan, AI/ML Innovation Leader, Business Development, IBM, to understand her machine learning journey. An advocate for open-source technologies, Aishwarya holds a postgraduate in...
A Gentle Introduction To Sigmoid Function
Whether you implement a neural network yourself or you use a built in library for neural network learning, it is of paramount importance to understand the significance of a sigmoid...
Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models
This article aims to compare four different deep learning and machine learning algorithms to build a spam detector and evaluate their performances. The dataset we used was from a shuffled...
Automating Machine Learning Modelling
Creating a Machine Learning model is not a difficult task because Python provides ample libraries which can help in creating models related to problems like Regression, Classification, etc. Python packages...