Please note that the equations are not rendered properly with Firefox in Linux. Please use Chrome to view all the Jupyter/Ipython notebooks. This is an known issue mentioned here, and I will keep ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Here we plan to briefly discuss the following 10 basic machine learning algorithms / techniques that any data scientist should have in his/her arsenal. There are many more techniques that are powerful ...

"We've shown that just one very elegant equation, rooted in the science of information, gives you rich algorithms spanning 100 years of research in machine learning. This opens up many new avenues ...

People often use “algorithm,” “machine learning” and “artificial intelligence” interchangeably. There is some overlap, but they’re not the same things.

It is particularly well-suited for handling high-dimensional data, optimizing combinatorial problems, and solving large-scale linear equations. Quantum machine learning algorithms can process more ...

Types of Machine Learning: Supervised Learning: Involves training a model on labeled data. Regression: Predicting continuous numerical values (e.g., housing prices, stock prices). Classification: ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

More information: Yun-Fei Shi et al, Machine Learning for Chemistry: Basics and Applications, Engineering (2023). DOI: 10.1016/j.eng.2023.04.013 Provided by Engineering ...