Five freely available tools that intuitively break down the complicated machine learning concepts. This article is a compilation of five such tools that go beyond the theory and instead present intuitively explanations of the standard machine learning concepts.
How Machine Learning Algorithms work under the hood is an aspect not understood by many. What does a layer of CNN see? How backpropagation works,? How exactly are the weights updated in a layer? These are some of the questions that pop in our minds time and again. These concepts can be particularly overwhelming for the beginners who want to have a hard time in aligning mathematical equations with the theory. The good news is that some people understand this pain and want to provide alternative forms of learning. This article is a compilation of five such tools that go beyond the theory and instead present intuitively explanations of the standard machine learning concepts.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Statistics for Data Science and Machine Learning Engineer. I’ll try to teach you just enough to be dangerous, and pique your interest just enough that you’ll go off and learn more.
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.
This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.