Machine Learning Algorithms Using Scikit And Tensorflow Environments
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Machine Learning Algorithms Using Scikit And Tensorflow Environments
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Author : Baby Maruthi, Puvvadi
language : en
Publisher: IGI Global
Release Date : 2023-12-18
Machine Learning Algorithms Using Scikit And Tensorflow Environments written by Baby Maruthi, Puvvadi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Computers categories.
Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Hands On Machine Learning With Scikit Learn Keras And Tensorflow
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Author : Aurélien Géron
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-05
Hands On Machine Learning With Scikit Learn Keras And Tensorflow written by Aurélien Géron and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-05 with Computers categories.
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
Machine Learning With Pytorch And Scikit Learn
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Author : Sebastian Raschka
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-02-25
Machine Learning With Pytorch And Scikit Learn written by Sebastian Raschka and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-25 with Computers categories.
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Converging Pharmacy Science And Engineering In Computational Drug Discovery
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Author : Tripathi, Rati Kailash Prasad
language : en
Publisher: IGI Global
Release Date : 2024-04-22
Converging Pharmacy Science And Engineering In Computational Drug Discovery written by Tripathi, Rati Kailash Prasad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Medical categories.
The world of pharmaceutical research is moving at lightning speed, and the age-old approach to drug discovery faces many challenges. It's a fascinating time to be on the cutting edge of medical innovation, but it's certainly not without its obstacles. The process of developing new drugs is often time-consuming, expensive, and fraught with uncertainty. Researchers are constantly seeking ways to streamline this process, reduce costs, and increase the success rate of bringing new drugs to market. One promising solution lies in the convergence of pharmacy science and engineering, particularly in computational drug discovery. Converging Pharmacy Science and Engineering in Computational Drug Discovery presents a comprehensive solution to these challenges by exploring the transformative synergy between pharmacy science and engineering. This book demonstrates how researchers can expedite the identification and development of novel therapeutic compounds by harnessing the power of computational approaches, such as sophisticated algorithms and modeling techniques. Through interdisciplinary collaboration, pharmacy scientists and engineers can revolutionize drug discovery, paving the way for more efficient and effective treatments. This book is an invaluable resource for pharmaceutical scientists, researchers, and engineers seeking to enhance their understanding of computational drug discovery. This book inspires future innovations by showcasing cutting-edge methodologies and innovative research at the intersection of pharmacy science and engineering. It contributes to the ongoing evolution of pharmaceutical research. It offers practical insights and solutions that will shape the future of drug discovery, making it essential reading for anyone involved in the pharmaceutical industry.
Convergence Of Technology And Operations Management In Modern Businesses
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Author : Martínez-Falcó, Javier
language : en
Publisher: IGI Global
Release Date : 2024-11-01
Convergence Of Technology And Operations Management In Modern Businesses written by Martínez-Falcó, Javier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Business & Economics categories.
In the modern business landscape, the intersection of technology and operations management is driving efficiency and innovation. As organizations continue to rely on advanced technologies, such as artificial intelligence, data analytics, and automation, they are transforming their operational strategies to enhance productivity, streamline processes, and deliver valuable products. Aligning technological advancements with operational goals allows companies to achieve a competitive edge, improve customer satisfaction, and unlock new growth opportunities. Businesses must continue to explore this convergence to adapt their operations successfully and invest in necessary skills to connect technology with business processes. Convergence of Technology and Operations Management in Modern Businesses explores the intersection of technology and operations management in the modern business environment. It covers technological advancements for revolutionized operations and supply chain management for increased efficiency and competitiveness. This book covers topics such as smart banking, blockchain, and human capital, and is a useful resource for financial professionals, bankers, business owners, data scientists, computer engineers, academicians, scientists, and researchers.
Impacts Of Generative Ai On Creativity In Higher Education
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Author : Fields, Ziska
language : en
Publisher: IGI Global
Release Date : 2024-08-27
Impacts Of Generative Ai On Creativity In Higher Education written by Fields, Ziska and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Education categories.
Many educators in the realm of higher education face the critical challenge of fostering creativity in students using traditional teaching methods. In today's rapidly evolving world, these methods have become inadequate to nurture the innovative thinking demanded by modern society. Impacts of Generative AI on Creativity in Higher Education reveals a solution in the integration of generative AI into higher education. To revolutionize how we nurture and harness student creativity, the book explores the intersection of creativity, generative AI, and higher education with a fresh perspective and practical guidance for educators and institutions. It delves into the fundamental concepts of generative AI and its potential applications, providing educators with the tools to create more engaging and innovative learning environments.
Cases On Ai Ethics In Business
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Author : Tennin, Kyla Latrice
language : en
Publisher: IGI Global
Release Date : 2024-05-17
Cases On Ai Ethics In Business written by Tennin, Kyla Latrice and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-17 with Business & Economics categories.
Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment.
Ethical Marketing Through Data Governance Standards And Effective Technology
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Author : Saluja, Shefali
language : en
Publisher: IGI Global
Release Date : 2024-05-13
Ethical Marketing Through Data Governance Standards And Effective Technology written by Saluja, Shefali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-13 with Business & Economics categories.
Marketing on digital platforms requires critical thinking on data management systems, machine learning methods, and attributes like customer trust, societal ethics, and managing consumer feedback with the utmost utilization of technology in different ways. The pursuit for a unified source of information is fundamental for marketers in digital marketing. Ethical Marketing Through Data Governance Standards and Effective Technology delves into the intricacies of achieving this unity by addressing the challenges and presenting solutions in a structured manner. The book explores the fundamental necessity for an effective data governance strategy. It emphasizes the eradication of silos and the establishment of regulations governing data classification, storage, and processing. Within this framework, the application of artificial intelligence in marketing takes center stage. The book investigates Artificial Intelligence (AI) marketing, machine learning methods, and data management systems. Furthermore, the book studies advertising standards and challenges on online platforms. The intersection of technology and advertising is dissected, focusing on virtual assistance through avatars and their impact on consumer psychology. The importance of a comprehensive database governance strategy is underscored, presenting a complete approach for corporations to navigate the intricacies of online marketing while upholding ethical standards.
6g Enabled Technologies For Next Generation
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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-15
6g Enabled Technologies For Next Generation written by Amit Kumar Tyagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Technology & Engineering categories.
A comprehensive reference on 6G wireless technologies, covering applications, hardware, security and privacy concerns, existing challenges, analytics methods, and much more 6G-Enabled Technologies for Next Generation delivers a thorough overview of the emerging sixth generation of wireless technology, presenting critical challenges of implementing 6G technologies including spectrum allocation, energy efficiency, security, interoperability, and more. Explaining ways we can use technologies to ensure a sustainable environment through renewable energy and a resilient industry, this book covers the applications and use cases such as smart grid, IoT, smart manufacturing, addressing security and privacy issues with privacy-preserving techniques and authentication control mechanisms. This book discusses the analytical methods used to study the performance of 6G technologies, covering simulation techniques, performance metrics, and predictive modeling. Introducing the core principles of 6G technology, including the advantages and disadvantages of the technology and how wireless communications have evolved, energy-efficient hardware and the different types of green communication technologies is explained. Many case studies are included in this book with a detailed explanation. Written by a team of experienced researchers, this book discusses: Terahertz (ThZ) communication, massive MIMO and beamforming, quantum communication, bandwidth management, and ultra-dense networks and small cell deployments Smart cities, telemedicine, and autonomous vehicles and schemes for waveform design, modulation, error correction, and advanced coding and modulation Sensor networks, edge computing and mobile cloud computing, and spatial, quantum, and dew computing Quantum-safe encryption, privacy-preserving technologies and techniques, threats and vulnerabilities, and authentication and access control mechanisms Network slicing and service differentiation, multi-connectivity and heterogeneous networks, and wireless power transfer 6G-Enabled Technologies for Next Generation is a comprehensive, up-to-date reference for students, academics, and researchers, along with professionals in the telecommunications field.
Human Centric Integration Of Next Generation Data Science And Blockchain Technology
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Author : Amit Kumar Tyagi
language : en
Publisher: Academic Press
Release Date : 2025-03-17
Human Centric Integration Of Next Generation Data Science And Blockchain Technology written by Amit Kumar Tyagi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Science categories.
Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, while also filling the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms.The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies. - Addresses the evolving integration of data science and blockchain within the context of Society 5.0 - Introduces the basic architecture and taxonomy of blockchain technology - Explores the future urban lives under the concept of "Society 5.0", characterized by the key phrases of data-driven society and knowledge-intensive society - Offers a firm foundation and understanding of recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management