Overview: State-of-the-Art Machine Learning Algorithms per Discipline & per Task. Get to know the best algorithms for NLP, Computer Vision, Speech Recognition and Recommendation Systems
Machine Learning algorithms are on the rise. Every year new techniques are presented that outdate the current leading algorithms. Some of them are only little advances or combinations of existing algorithms and others are newly created and lead to astonishing progress. For most techniques exist already great articles that explain the theory behind it and some of them offer also an implementation with code and tutorial. None did yet offer an overview of the current leading algorithms, so the idea came up to present the best algorithms per task based on the results achieved (performance scores are used). Of course, there are many more tasks and not all tasks can be presented. I tried to select the most popular fields and tasks and hope this might help to get a better understanding. The metiers on which this article will lay a focus are Computer Vision, Natural Language Processing, Speech Recognition.
All the fields, tasks and some of the algorithms are presented in the article. If you are interested only in a subpart, skip the to the section you want to dive in.
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
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.
Machine learning algorithms are different from other algorithms. With most algorithms, a programmer begins by entering the algorithm.
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.
8 Machine Learning Resources to Learn Data Structures and Algorithms. Before we start, most of these machine learning resources do assume a basic knowledge of at least one programming language. You don’t need to be an expert by any means! You just need the programming basics. If you have never written code before, you may want to bookmark this article and return to it later.