Machine and Deep Learning Algorithms and Applications

Discover the fascinating world of artificial intelligence with Machine and Deep Learning Algorithms and Applications by Uday Shankar. Published in 2021 by Springer International Publishing AG, this comprehensive paperback spans 107 pages, offering a deep dive into the essential paradigms of machine learning.

This insightful book categorizes machine learning algorithms into three main types: supervised learning, unsupervised learning, and semi-supervised learning. Each category is explored in detail, highlighting how the performance of machine learning models can significantly improve with the right training data.

Whether you are a seasoned professional or a newcomer to the field, this book serves as an invaluable resource, equipping you with the knowledge to harness the power of machine and deep learning in real-world applications. Enhance your understanding and stay ahead in the rapidly evolving tech landscape with this essential guide.