Tag - Introduction

10 Free Must-See Courses for Machine Learning and Data Science

Check out a collection of free machine learning and comments This is a collection of free machine learning and   1. Introduction to Computational Thinking and data Science MIT 6.0002 is the continuation of 6.0001 Introduction to Computer Science and...

Basic Image Data Analysis Using Numpy and OpenCV – Part 1

Accessing the internal component of digital images using Python packages becomes more convenient to understand its properties as well as nature. By Mohammed Innat, Khulna University of Engineering & Technology. comments __data analysis" width="100%"...

Book Recommendations

Deep Learning Book Notes, Chapter 3 (part 1): Introduction to Probability These are the first part of my notes for chapter 3 of the Deep Learning book. They can also serve as a quick intro to probability. These notes cover about half of the chapter (...

Data Science 101: GPU Programming for Beginners

The presentation below is an educational resource that sets the stage for parallel programming with GPUs (graphics processing units) and was sponsored by the Center for Astrophysics and Supercomputing at Swinburne University of Technology. GPUs are b...

Deep Learning for the Masses (… and The Semantic Layer)

Deep learning is everywhere right now, in your watch, in your television, your phone, and in someway the platform you are using to read this article. Here I’ll talk about how can you start changing your business using Deep Learning in a very simple w...

How I Unknowingly Contributed To Open Source

This article explains what is meant by the term 'open source' and why all data scientists should be a part of it. comments By Reshama Shaikh. Like many data scientists, I desired to contribute to open source, but I thought that “open source contribut...