Hands on Machine Learning with Scikit Learn Keras and TensorFlow

Hands on Machine Learning with Scikit Learn  Keras  and TensorFlow

Now fully updated, this bestselling book uses concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow 2--to help users gain an intuitive understanding of the concepts and tools for building ...

Author: Aurélien Géron

Publisher: O'Reilly

ISBN: 1492032646

Category: Computers

Page: 819

View: 355

Now fully updated, this bestselling book uses concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow 2--to help users gain an intuitive understanding of the concepts and tools for building intelligent systems.t systems.
Categories: Computers

Hands On Machine Learning with Scikit Learn Keras and TensorFlow

Hands On Machine Learning with Scikit Learn  Keras  and TensorFlow

Concepts, Tools, and Techniques to Build Intelligent Systems Aurélien Géron. ® OʻREILLY Hands - On Machine Learning with Scikit - Learn , Keras , and TensorFlow Through a series of breakthroughs , Deep Learning has boosted the entire ...

Author: Aurélien Géron

Publisher: O'Reilly Media

ISBN: 9781492032618

Category: Computers

Page: 851

View: 183

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Categories: Computers

Hands On Machine Learning with Scikit Learn and TensorFlow

Hands On Machine Learning with Scikit Learn and TensorFlow

Concepts, Tools, and Techniques to Build Intelligent Systems Aurélien Géron. Pipelines A sequence of data processing components is called a data pipeline. Pipelines are very common in Machine Learning systems, since there is a lot of ...

Author: Aurélien Géron

Publisher: "O'Reilly Media, Inc."

ISBN: 9781491962244

Category: Computers

Page: 722

View: 459

Graphics in this book are printed in black and white. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details
Categories: Computers

Intelligent Systems and Applications

Intelligent Systems and Applications

Proceedings of the 2022 Intelligent Systems Conference (IntelliSys) Volume 3 Kohei Arai ... 61(4), 5–14 (2019) 2. ... A.: Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build ...

Author: Kohei Arai

Publisher: Springer Nature

ISBN: 9783031160752

Category: Artificial intelligence

Page: 859

View: 539

This book is a remarkable collection of chapters covering a wide domain of topics related to artificial intelligence and its applications to the real world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selected to be included in these proceedings. It is difficult to imagine how artificial intelligence has become an inseparable part of our life. From mobile phones, smart watches, washing machines to smart homes, smart cars, and smart industries, artificial intelligence has helped to revolutionize the whole globe. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. Distinguished researchers have made valuable studies to understand the various bottlenecks existing in different arenas and how they can be overcome with the use of intelligent systems. This book also provides new directions and dimensions of future research work. We hope that readers find the volume interesting and valuable.
Categories: Artificial intelligence

Software Engineering Perspectives in Intelligent Systems

Software Engineering Perspectives in Intelligent Systems

Proceedings of 4th Computational Methods in Systems and Software 2020, Vol.2 Radek Silhavy, Petr Silhavy, ... Aurélien, G.: Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build ...

Author: Radek Silhavy

Publisher: Springer Nature

ISBN: 9783030633196

Category: Technology & Engineering

Page: 954

View: 138

This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.
Categories: Technology & Engineering

Intelligent Systems and Applications

Intelligent Systems and Applications

Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 2 Yaxin Bi, Rahul Bhatia, Supriya Kapoor ... Géron, A.: Hands-on Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build ...

Author: Yaxin Bi

Publisher: Springer Nature

ISBN: 9783030295134

Category: Technology & Engineering

Page: 1312

View: 954

The book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process, after which 190 were selected for inclusion in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle a host of problems more effectively. This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for an international conference as a venue for reporting on the latest innovations and trends. This book collects both theory and application based chapters on virtually all aspects of artificial intelligence; presenting state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision for future research, it represents a unique and valuable asset.
Categories: Technology & Engineering

Machine Learning for Practical Decision Making

Machine Learning for Practical Decision Making

1. A. Géron, Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (O'Reilly Media, Sebastopol, CA, 2019) 2. Y. Liu, Python Machine Learning by Example: Build ...

Author: Christo El Morr

Publisher: Springer Nature

ISBN: 9783031169908

Category: Business & Economics

Page: 475

View: 841

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.
Categories: Business & Economics

Intelligent Systems

Intelligent Systems

3305, pp. 755–764. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-30479-178 10. Géron, A.: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.

Author: Ricardo Cerri

Publisher: Springer Nature

ISBN: 9783030613808

Category: Computers

Page: 682

View: 776

The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The contributions are organized in the following topical section: Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing. Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications. Due to the Corona pandemic BRACIS 2020 was held as a virtual event.
Categories: Computers

Artificial Intelligence Trends in Systems

Artificial Intelligence Trends in Systems

2. Sklearn feature selection variancethreshold. https://scikit-learn.org/stable/ ... Gron, A.: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 1st edn.

Author: Radek Silhavy

Publisher: Springer Nature

ISBN: 9783031090769

Category: Technology & Engineering

Page: 613

View: 908

This book covers themes related to artificial intelligence in systems and networks application. Selected papers explore modern neural networks application, optimization and hybrid and bio-inspired algorithms are covered too. The refereed proceedings of the Artificial Intelligence Trends in Systems part of the 11th Computer Science On-line Conference 2022 (CSOC 2022), conducted online in April 2022, are included in this volume.
Categories: Technology & Engineering

Machine Learning and Artificial Intelligence with Industrial Applications

Machine Learning and Artificial Intelligence with Industrial Applications

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems. O'Reilly Media. Glen, S. (2019). Decision Tree vs Random Forest vs Gradient Boosting Machines: Explained ...

Author: Diego Carou

Publisher: Springer Nature

ISBN: 9783030910068

Category: Artificial intelligence

Page: 216

View: 306

This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.
Categories: Artificial intelligence