Contemporary Machine Learning Methods Harnessing Scikit Learn And Tensorflow
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Contemporary Machine Learning Methods Harnessing Scikit Learn And Tensorflow
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-03
Contemporary Machine Learning Methods Harnessing Scikit Learn And Tensorflow written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
"Contemporary Machine Learning Methods: Harnessing Scikit-Learn and TensorFlow" is an indispensable resource for data scientists and machine learning practitioners eager to sharpen their skills and stay at the forefront of technology. This book offers a comprehensive exploration of modern machine learning methodologies, encompassing innovative regression and classification techniques, along with complex neural network architectures using TensorFlow. Explore practical implementations and real-world examples that demystify intricate concepts like unsupervised learning, deep learning optimizations, natural language processing, and feature engineering with clarity. Each chapter serves as a step-by-step guide to applying these contemporary methods, complete with code samples and thorough explanations. Whether you're a professional aiming to deploy machine learning solutions at an enterprise level, an academic researcher investigating computational innovations, or a postgraduate student interested in cutting-edge AI, this book equips you with the insights, tools, and expertise needed to effectively leverage machine learning technologies. Master the nuances of machine learning with "Contemporary Machine Learning Methods: Harnessing Scikit-Learn and TensorFlow" and convert data into impactful knowledge.
C Unleashed Mastering The Art Of Modern Programming
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-16
C Unleashed Mastering The Art Of Modern Programming written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Technology & Engineering categories.
Embark on an extraordinary journey into the world of modern programming with C++ Unleashed, your comprehensive guide to mastering this powerful and versatile language. Delve into the core concepts of C++, gaining a solid foundation in data types, operators, control structures, and functions. Explore the depths of object-oriented programming (OOP), unlocking the secrets of encapsulation, inheritance, polymorphism, and more. As you progress, uncover the intricacies of advanced C++ techniques, including templates, exception handling, memory management, and multithreading. Conquer the complexities of data structures like linked lists, trees, and hash tables, empowering yourself to store and retrieve data efficiently. With C++ Unleashed as your trusted companion, traverse the realm of algorithms and problem-solving techniques, mastering sorting and searching algorithms, divide-and-conquer, greedy algorithms, and dynamic programming. Delve into object-oriented design (OOD) principles, embracing SOLID principles and design patterns to craft elegant and maintainable software architectures. Venture into the realm of real-world applications, harnessing the power of C++ to create immersive games, analyze data with machine learning, develop high-performance web applications, and explore the intricacies of operating systems and embedded systems. Written in a clear and engaging style, C++ Unleashed is your ultimate resource for mastering C++ and unlocking your full potential as a modern programmer. Whether you're a seasoned developer seeking to expand your horizons or a newcomer eager to embark on a rewarding career in programming, this book will guide you every step of the way. Join the ranks of skilled C++ programmers and unlock a world of possibilities with C++ Unleashed! If you like this book, write a review on google books!
Ultimate Neural Network Programming With Python Create Powerful Modern Ai Systems By Harnessing Neural Networks With Python Keras And Tensorflow
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Author : Vishal Rajput
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2023-11-04
Ultimate Neural Network Programming With Python Create Powerful Modern Ai Systems By Harnessing Neural Networks With Python Keras And Tensorflow written by Vishal Rajput and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-04 with Computers categories.
Master Neural Networks for Building Modern AI Systems. Key Features ● Comprehensive Coverage of Foundational AI Concepts and Theories. ● In-Depth Exploration of Maths Behind Neural Network Mathematics. ● Effective Strategies for Structuring Deep Learning Code. ● Real-world applications of AI Principles and Techniques. Book Description This book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries. Throughout the chapters, readers are engaged with the book through practice exercises and supplementary learning. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding. This book isn't just about using AI tools; it's a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry. What you will learn ● Leverage TensorFlow and Keras while building the foundation for creating AI pipelines. ● Explore advanced AI concepts, including dimensionality reduction, unsupervised learning, and optimization techniques. ● Master the intricacies of neural network construction from the ground up. ● Dive deeper into neural network development, covering derivatives, backpropagation, and optimization strategies. ● Harness the power of high-level AI libraries to develop production-ready code, allowing you to accelerate the development of AI applications. ● Stay up-to-date with the latest breakthroughs and advancements in the dynamic field of artificial intelligence. Who is this book for?This book serves as an ideal guide for software engineers eager to explore AI, offering a detailed exploration and practical application of AI concepts using Python. AI researchers will find this book enlightening, providing clear insights into the mathematical concepts underlying AI algorithms and aiding in writing production-level code. This book is designed to enhance your skills and knowledge to create sophisticated, AI-powered solutions and advance in the multifaceted field of AI. Table of Contents 1. Understanding AI History 2. Setting up Python Workflow for AI Development 3. Python Libraries for Data Scientists 4. Foundational Concepts for Effective Neural Network Training 5. Dimensionality Reduction, Unsupervised Learning and Optimizations 6. Building Deep Neural Networks from Scratch 7. Derivatives, Backpropagation, and Optimizers 8. Understanding Convolution and CNN Architectures 9. Understanding Basics of TensorFlow and Keras 10. Building End-to-end Image Segmentation Pipeline 11. Latest Advancements in AI Index
Smart Payroll Harnessing Ai And Ml For Efficient Payroll Systems
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Author : Dr. RVS Praveen
language : en
Publisher: Addition Publishing House
Release Date : 2025-04-17
Smart Payroll Harnessing Ai And Ml For Efficient Payroll Systems written by Dr. RVS Praveen and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Antiques & Collectibles categories.
Smart Payroll: Harnessing AI and ML for Efficient Payroll Systems explores the intersection of intelligent technologies and payroll management in modern enterprises. This comprehensive guide delves into how Artificial Intelligence and Machine Learning are streamlining payroll functions—from salary predictions and automated tax compliance to chatbot-driven employee support and predictive analytics. Designed for HR professionals, data scientists, payroll administrators, and business leaders, the book presents core concepts, key algorithms, and real-world case studies. Readers will gain a clear understanding of how smart payroll systems can minimize human error, improve compliance, enhance employee experience, and support strategic decision-making. The book covers critical topics including algorithmic salary forecasting, attendance tracking, anomaly detection in payroll data, and integration with enterprise systems. Tools like Python, TensorFlow, and Scikit-learn are introduced for hands-on learners, along with overviews of industry-leading platforms such as Gusto, ADP, and Workday. By focusing on both technical depth and business relevance, this book bridges the gap between theory and practical application. It serves as a roadmap for organizations seeking to modernize their payroll operations through AI/ML, and for learners aiming to stay ahead in the rapidly evolving HR tech landscape.
Artificial Intelligence For Security
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Author : Tuomo Sipola
language : en
Publisher: Springer Nature
Release Date : 2024-06-28
Artificial Intelligence For Security written by Tuomo Sipola and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.
This book discusses the use of artificial intelligence (AI) for security purposes. It is divided into three parts: methodological fundamentals of AI, use of AI for critical infrastructure protection and anomaly detection. The first section describes the latest knowledge for creating safe AIs and using them to enhance protection. This book also presents various domains and examples of AI-driven security. The chapters describe potential methods, demonstrate use cases and discuss the challenges of the evolving field. This includes topics such as defensive use of AI to detect threats. It discusses the offensive use of AI to better understand the future threat landscape, the use of AI for automation in critical infrastructure and overall challenges of AI usage for critical tasks. As new threats emerge, the use of AI technologies to protect the world one lives in is topical. New technologies in this space have advanced rapidly, and subsequently, their use in enhancing protection is an evident development. To this effect, this book brings together a group of international researchers and professionals who present their views on how to create security through AI. This book targets postgraduate students, researchers and professionals who want to understand the use of AI for security. Understanding latest advancements in this field will also be useful to those who want to comprehend modern cybersecurity in detail and who want to follow research and latest trends.
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.
Deep Reinforcement Learning Hands On
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Author : Maxim Lapan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-21
Deep Reinforcement Learning Hands On written by Maxim Lapan 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 2018-06-21 with Computers categories.
This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems. Key Features Explore deep reinforcement learning (RL), from the first principles to the latest algorithms Evaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strategies and genetic algorithms Keep up with the very latest industry developments, including AI-driven chatbots Book Description Recent developments in reinforcement learning (RL), combined with deep learning (DL), have seen unprecedented progress made towards training agents to solve complex problems in a human-like way. Google’s use of algorithms to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating new ideas at a rapid pace. Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on ‘grid world’ environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots. What you will learn Understand the DL context of RL and implement complex DL models Learn the foundation of RL: Markov decision processes Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others Discover how to deal with discrete and continuous action spaces in various environments Defeat Atari arcade games using the value iteration method Create your own OpenAI Gym environment to train a stock trading agent Teach your agent to play Connect4 using AlphaGo Zero Explore the very latest deep RL research on topics including AI-driven chatbots Who this book is for Some fluency in Python is assumed. Basic deep learning (DL) approaches should be familiar to readers and some practical experience in DL will be helpful. This book is an introduction to deep reinforcement learning (RL) and requires no background in RL.
Design Optimization Using Artificial Intelligence
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Author : Satya Ranjan Mishra
language : en
Publisher: CRC Press
Release Date : 2025-06-24
Design Optimization Using Artificial Intelligence written by Satya Ranjan Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
Design Optimization Using Artificial Intelligence serves as an insightful resource for understanding the transformative role of Artificial Intelligence (AI) in optimizing design processes across a variety of fields. This book explores foundational concepts, advanced methodologies, and real-world applications, offering a comprehensive guide to leveraging AI for innovative design solutions. Covering a broad spectrum of topics, the book examines algorithmic advancements, machine learning techniques, and optimization strategies that enhance design efficiency and accuracy. It delves into AI's applications in sustainable energy systems, biomedical innovations, image processing, cyber-security, and other critical domains, showcasing its ability to solve complex challenges with precision and creativity. The content bridges theoretical foundations with practical implementations, incorporating case studies that highlight successful applications of AI-driven design optimization. Readers will gain valuable insights into state-of-the-art tools, programming techniques, and frameworks that drive advancements in intelligent design systems. Features: Explores AI-driven methodologies for enhancing design accuracy and efficiency Discusses advanced machine learning techniques and optimization algorithms Highlights AI's applications in diverse fields such as energy systems, healthcare, image processing, and cyber-security Includes in-depth case studies to illustrate real-world implementations of AI in design optimization Investigates future trends and the potential of AI to transform traditional design processes Targeted at researchers, engineers, and students in the fields of artificial intelligence, computational science, and engineering, this book is an essential reference for anyone seeking to understand and utilize AI in the realm of design optimization. It provides the tools and knowledge necessary to harness AI's power for innovative, efficient, and intelligent design solutions.
Ai And Ml For Coders
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Author : Andrew Hinton
language : en
Publisher: Book Bound Studios
Release Date : 2024-01-04
Ai And Ml For Coders written by Andrew Hinton and has been published by Book Bound Studios this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-04 with Computers categories.
Are you ready to unlock the transformative power of Artificial Intelligence (AI) and Machine Learning (ML) in your coding projects? "AI and ML for Coders" is the essential guide for coders who want to leap into the future of technology. This book is tailored for programmers, developers, and tech enthusiasts eager to integrate AI and ML into their work. Whether you're a seasoned coder or just starting, you'll find invaluable insights and practical knowledge to elevate your craft. Here's what you'll gain from "AI and ML for Coders": - A comprehensive understanding of AI and ML evolution, from historical milestones to cutting-edge techniques. - A deep dive into the core concepts, terminology, and ethical considerations that every coder must know. - Hands-on guidance on choosing the right tools, libraries, and programming languages for your AI and ML projects. - Expert strategies for data preparation, preprocessing, and selecting the most effective algorithms for different tasks. - Real-world applications and case studies demonstrate AI and ML's power in coding. Key features include: - Clear explanations of supervised, unsupervised, and reinforcement learning. - Exploration of neural networks, deep learning, natural language processing, and computer vision. - Practical advice on navigating the ethical landscape of AI to develop responsible and trustworthy applications. Authored by a seasoned expert in the field, "AI and ML for Coders" is your roadmap to mastering AI and ML. It's not just a book; it's an investment in your future as a coder in an AI-driven world. Take advantage of the opportunity to be at the forefront of the AI revolution. Take the next step and add "AI and ML for Coders" to your library today. Your journey into the realm of AI and ML starts here!
Building Cloud Data Platforms Solutions
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Author : Anouar BEN ZAHRA
language : en
Publisher: Anouar BEN ZAHRA
Release Date :
Building Cloud Data Platforms Solutions written by Anouar BEN ZAHRA and has been published by Anouar BEN ZAHRA this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.