Hands On Machine Learning with Scikit Learn Keras and TensorFlow

Hands On Machine Learning with Scikit Learn  Keras  and TensorFlow

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.

Author: Aurélien Géron

Publisher: "O'Reilly Media, Inc."

ISBN: 9781492032595

Category: Computers

Page: 856

View: 300

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 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: 856

View: 417

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. Algorithm Largem Out-of-core support Largen Hyperparams Scaling required Scikit-Learn Batch GD Slow No Fast 2 Yes SGDRegressor Stochastic GD Fast Yes Fast ≥2 ...

Author: Aurélien Géron

Publisher: "O'Reilly Media, Inc."

ISBN: 9781491962268

Category: Computers

Page: 574

View: 890

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.
Categories: Computers

Intelligent Systems and Applications

Intelligent Systems and Applications

2. Al-Radaideh, Q.A., Al Nagi, E.: Using data mining techniques to build a classification model for predicting ... A.: Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent ...

Author: Kohei Arai

Publisher: Springer

ISBN: 9783030010577

Category: Technology & Engineering

Page: 1292

View: 107

Gathering the Proceedings of the 2018 Intelligent Systems Conference (IntelliSys 2018), this book offers a remarkable collection of chapters covering a wide range of topics in intelligent systems and computing, and their real-world applications. The Conference attracted a total of 568 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 194 (including 13 poster papers) were selected to be included 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 many problems more effectively. This branching out of computational intelligence in several directions, and the use of intelligent systems in everyday applications, have created the need for such an international conference, which serves as a venue for reporting on cutting-edge innovations and developments. This book collects both theory and application-based chapters on all aspects of artificial intelligence, from classical to intelligent scope. Readers are sure to find the book both interesting and valuable, as it presents state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision of future research directions.
Categories: Technology & Engineering

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: 884

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

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: 835

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 Applications and Innovations

Artificial Intelligence Applications and Innovations

Geron, A.: Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems, p. 543 (2017) 2. Osseiran, A., Monserrat, J.F., Marsch, P.: 5G Mobile and Wireless Communications ...

Author: Ilias Maglogiannis

Publisher: Springer Nature

ISBN: 9783030791506

Category: Computers

Page: 795

View: 148

This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: adaptive modeling/ neuroscience; AI in biomedical applications; AI impacts/ big data; automated machine learning; autonomous agents; clustering; convolutional NN; data mining/ word counts; deep learning; fuzzy modeling; hyperdimensional computing; Internet of Things/ Internet of energy; machine learning; multi-agent systems; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter “Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-based Approaches: Challenges and Perspective” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Categories: Computers

Intelligent Systems and Applications

Intelligent Systems and Applications

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

Author: Yaxin Bi

Publisher: Springer Nature

ISBN: 9783030295134

Category: Technology & Engineering

Page: 1312

View: 968

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 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:

Page:

View: 329

Categories:

ICICCT 2019 System Reliability Quality Control Safety Maintenance and Management

ICICCT 2019     System Reliability  Quality Control  Safety  Maintenance and Management

Int. J. Recent Trends Eng. 2(2), November 2009 Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Paperback – 2017, Aurelien Geron A Novel Based Approach for ...

Author: Vinit Kumar Gunjan

Publisher: Springer

ISBN: 9789811384615

Category: Technology & Engineering

Page: 874

View: 981

This book discusses reliability applications for power systems, renewable energy and smart grids and highlights trends in reliable communication, fault-tolerant systems, VLSI system design and embedded systems. Further, it includes chapters on software reliability and other computer engineering and software management-related disciplines, and also examines areas such as big data analytics and ubiquitous computing. Outlining novel, innovative concepts in applied areas of reliability in electrical, electronics and computer engineering disciplines, it is a valuable resource for researchers and practitioners of reliability theory in circuit-based engineering domains.
Categories: Technology & Engineering