Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on ...

Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms ... are no strict ...

In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised ...

Machine learning, a subset of artificial intelligence, has revolutionized data analysis by automating predictive analytics and pattern recognition. You're likely familiar with some of its ...

In the finance industry, Linear Regression is one of the top machine learning algorithms used for data analysis. It's particularly valuable for predicting numerical outcomes, such as stock prices ...

Abstract: This book chapter explores the integration of machine learning algorithms with quantum computing. It covers quantum machine learning, quantum kernel machine learning, quantum support vector ...

The mathematical theory of machine learning not only explains the current algorithms but can also motivate principled approaches for the future. This self-contained textbook introduces students and ...

Automated machine learning (AutoML) is a promising trend that will improve the efficiency and accuracy of model building. With AutoML, users can automatically select the best algorithms and ...

Machine learning is a fast ... One way to visualize reinforcement learning is to view the algorithm as being "rewarded" for achieving the best outcome, which helps it determine how to interpret ...