Tag: Learning

Free Download Metaheuristics for Machine Learning: Algorithms and Applications
English | 2024 | ISBN: 1394233922 | 352 Pages | EPUB | 4 MB
The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases.

Free Download Math and Architectures of Deep Learning
by Krishnendu Chaudhury
English | 2024 | ISBN: 1617296481 | 553 pages | True PDF | 84.38 MB

Free Download Machine Learning with Python: Master pandas, scikit-learn, and TensorFlow for Building Smart IA Models
English | 2024 | ISBN: 1230007621833 | 107 Pages | EPUB (True) | 0.8 MB
Machine learning is revolutionizing the world, and Python is the language of choice for its development. This book equips you with the essential tools – pandas, scikit-learn, and TensorFlow – to build and deploy intelligent applications.

Free Download Machine Learning with Apache Spark Quick Start Guide:
Uncover patterns, derive actionable insights, and learn from big data using MLlib
by Jillur Quddus

Free Download Machine Learning for Networking: 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022, Revised Selected Papers
by Éric Renault, Paul Mühlethaler
English | 2023 | ISBN: 3031361822 | 190 Pages | True PDF | 13.2 MB

Free Download Machine Learning for Mobile Communications
English | 2024 | ISBN: 1032306939 | 214 Pages | PDF (True) | 12 MB
Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.

Free Download Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques by Kumar Abhishek, Dr Mounir Abdelaziz
English | November 30, 2023 | ISBN: 1801070830 | 344 pages | PDF | 12 Mb
Take your machine learning expertise to the next level with this essential guide, utilizing libraries like imbalanced-learn, PyTorch, scikit-learn, pandas, and NumPy to maximize model performance and tackle imbalanced dataKey FeaturesUnderstand how to use modern machine learning frameworks with detailed explanations, illustrations, and code samplesLearn cutting-edge deep learning techniques to overcome data imbalanceExplore different methods for dealing with skewed data in ML and DL applicationsPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description

Free Download Machine Learning for Drug Discovery (MEAP V01)
English | 2024 | ISBN: 9781633437661 | 245 Pages | PDF EPUB | 28 MB
Machine Learning for Drug Discovery introduces the machine learning and deep learning techniques that drive modern medical research. Each chapter explores a real-world example from the pharmaceutical industry, showing you hands-on how researchers investigate treatments for cancer, malaria, autoimmune diseases, and more.

Free Download Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making by Patanjali Kashyap
English | December 23, 2023 | ISBN: 1484298004 | 682 pages | MOBI | 4.24 Mb
This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in machine learning. A new chapter on quantum computers and machine learning is included to prepare you for future challenges. Insights for decision makers will help you understand machine learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of machine learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to machine learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, quantum machine learning, and reinforcement learning from human feedback (RLHF) technology.