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Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019

A Step-by-Step Guide to Image Segmentation Techniques (Part 1)

Learn about image segmentation, its uses, types, and how it differs from image classification and object detection. Read Now!

16 OpenCV Functions to Start your Computer Vision journey (with Python code)

An introduction to computer vision and use of opencv functions in it. Here is the list of opencv functions for computer vision projects with python codes.

Infographic: 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals)

This article presents an infographic to 11 steps for transitioning from Business Intelligence (BI) and MIS to data science.

DataHack Radio #20: Building Interpretable Machine Learning Models with Christoph Molnar

This DataHack Radio episode with Christoph Molnar looks at interpretable machine learning and it's importance.

8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP)

This article contains some pretrained models to get started with natural language processing. This NLP pretrained model helps you to learn deep learning.

Best Deep Learning Frameworks: A Comprehensive Guide for 2025

Discover the power of deep learning frameworks in 2025. Uncover their potential and learn how they can drive business growth. Don’t miss out!

Guide to Learn ELMo for Extracting Features from Text

ELMo is one of the best state-of-the-art frameworks to extract features from text. Learn what is ELMo and how to use ELMo for text classification in Python.

29 Inspiring Women Blazing a Trail in the Data Science World

This article features women working in the data science field. From Airbnb to Stanford, we celebrate women changing the landscape of data science!

DataHack Radio #19: The Path to Artificial General Intelligence with Professor Melanie Mitchell