After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine learning” that can help scientists combine elements of different methods to improve algorithms or create new ones.
In today’s world, you’ve probably heard the term “Machine Learning” more than once. It’s a big topic, and if you’re new to it, all the technical words might feel confusing. Let’s start with the basics and make it easy to understand. Machine Learning, a subset of Artificial Intelligence, has emerged as a transformative force, empowering machines to learn from data and make intelligent decisions without explicit programming. At its core, machine learning algorithms seek to identify patterns within data, enabling computers to learn and adapt to new information. Think about how a child learns to recognize a cat. At first,
Use this glossary to quickly clarify key terms and concepts related to product management and UX.
Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been widely studied...
Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone. - LappleApple/awesome-leading-and-managing
>>>, The default Python prompt of the interactive shell. Often seen for code examples which can be executed interactively in the interpreter.,,..., Can refer to:- The default Python prompt of the i...
Learn all of the most important blockchain and cryptocurrency terms and jargon here. We add new words and descriptions every week.
Building a dream UI/UX design for your app is very much about communication with your design team. Here is a list of 57 essential terms.
The most common tool, methods, processes, and deliverables that designers use throughout the digital product design process.
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The data science and artificial intelligence terms you need while reading the latest research
Knowing the terminology is essential to understanding any tutorial.
Psychology and neuroscience are such rapidly growing fields of research, it’s easy to get confused. If you’ve sometimes been scratching your head trying to figure out who does what, this guide is for you. We will cover 40 major fields of psychology and neuroscience using plain language explanations.
Towards more efficient natural language processing
This is my bag of tricks — loose notes, design patterns, rules-of-thumb, tools, cheatsheets, gimmicks, leverage points, descriptions of systems, key questions, risks, and unknowns.
443K subscribers in the learnmachinelearning community. A subreddit dedicated to learning machine learning
In this article I covered 63 Algorithms of Machine Learning in easy to understand manner for business professionals.
View our video advertising glossary and learn common terms that will help you understand better the world of video advertising.
This periodic table can serve as a guide to navigate the key players in the data science space. The resources in the table were chosen by looking at surveys taken from data science users, such as the 2016 Data Science Salary Survey by O'Reilly, the 201...
How and why do different Deep Learning models work? We provide an intuitive explanation for 3 very popular DL models: Resnet, Inception, and Xception.
OverAPI.com is a site collecting all the cheatsheets,all!