Deep learning applications There are many examples of problems that currently require deep learning to produce the best models. Natural language processing (NLP) is a good one. In Fall 2016, the ...

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.

Artificial intelligence (AI) is playing increasingly vital roles in business. Its widespread adoption and ability to enhance ...

Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine ...

Intel DAAL provides a rich set of algorithms, ranging from the most basic descriptive statistics for datasets to more advanced data mining and machine learning algorithms. Python can easily utilize ...

You need to start with a solid knowledge of linear algebra and calculus, master a programming language such as Python, and become proficient with data science and machine learning libraries such ...

Designed by alumni of Stanford University and MIT and taught by graduate students, the program will give kids hands-on experience with machine learning algorithms, Python and project-based ...

With many data scientists already utilizing Python for data analysis and machine learning, they experience generally poor performance in this application area. Intel Python Distribution includes an ...