It is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. This hard cover book has 738 pages in full colour, ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

This book may be of interest to Gadget Masters getting serious with the use of AI and looking to develop their own learning model. It's called Practical Deep Learning. Or Practical Deep Learning (2nd ...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, ...

Deep learning refers to a subclass of machine learning techniques which rely on artificial neural networks for the purpose of modeling and analysing intricate data. The utilization of high-dimensional ...

Machine learning: clustering and classification machine learning algorithms were used to discriminate between positive and negative groups. The clustering algorithms employed were K-means (KM), 28 ...

3.1 Feature extraction. The input is represented as x = (x t, x v) ∈ D, where x t represents the textual component of the news item and x v denotes the corresponding image. The dataset D comprises ...

Machine learning is the latest concept and includes many important things, from code to programming. These are the best machine learning books 2025 for beginners to learn various chapters of machine ...

Machine learning (ML) techniques have become powerful tools in both industrial and academic settings. Their ability to facilitate analysis of complex data and generation of predictive insights is ...