Tag: Machine

Free Download Methodologies, Frameworks, and Applications of Machine Learning
by Srivastava Pramod
English | 2024 | ISBN: 9798369310625 | 315 pages | True PDF EPUB | 39.71 MB

Free Download Metaheuristics for Machine Learning
by Kanak Kalita, Narayanan Ganesh and S. Balamurugan
English | 2024 | ISBN: 1394233922 | 342 pages | True PDF | 16.63 MB

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 Machine Tools Production Systems 1: Machine Types and Application Fields
English | 2024 | ISBN: 3662681196 | 526 Pages | PDF (True) | 141 MB
The first part of the Machine Tools and Production Systems Compendium presents the wide range of machine tools and a comprehensive overview of different machine types. Based on the categorization of manufacturing processes according to the German standard DIN 8580, the different areas of application of machine tools are delineated and the various machine designs, the mechanical structure as well as the functions of the machine types are explained. Numerous three-dimensional illustrations of the principles, color photos, section drawings and schematic diagrams supplement the explanations and provide visual support. First, the machine types for the different manufacturing processes are described ― before the multi-machine systems are explained. This is followed by a detailed presentation of the various equipment components of machine tools. In the last newly introduced chapter, the volume is concluded by a comprehensive and detailed explanation of three design examples of selected machine tools based on assembly drawings.

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