Machine Learning Handbook

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Handbook Of Machine Learning Volume 1 Foundation Of Artif

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Author : Tshilidzi Marwala
language : en
Publisher:
Release Date : 2018-12-22

Handbook Of Machine Learning Volume 1 Foundation Of Artif written by Tshilidzi Marwala and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-22 with categories.

Machine Learning Algorithms Handbook

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Author : Aman Kharwal
language : en
Publisher:
Release Date : 2023-09-15

Machine Learning Algorithms Handbook written by Aman Kharwal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-15 with Computers categories.

Key Features: Clear Explanations of Machine Learning Algorithms: The book offers clear and concise explanations of machine learning algorithms, ensuring that readers of all levels can grasp the concepts effortlessly. Hands-On Approach: Packed with practical examples using Python and code snippets, you'll gain a hands-on understanding of how each algorithm works and learn to implement them in real projects. Comprehensive Coverage: From linear regression and support vector machines to decision trees and neural networks, the book covers a wide array of algorithms, giving you a solid foundation to explore diverse problem domains. Performance Evaluation Methods: Learn how to evaluate the effectiveness of your models, identify areas for improvement, and optimize their performance using industry-standard evaluation techniques. Data Preprocessing Techniques: Discover the critical elements of data preprocessing that lay the groundwork for building robust and accurate machine learning models. Time Series Forecasting: Explore advanced algorithms specifically designed for time series data, a critical component of numerous real-world applications. Appendix for Easy Reference: Access all parameters of commonly used machine learning algorithms in a handy appendix, facilitating efficient model tuning.

The Machine Learning Handbook Everything You Need To Know About Machine Learning

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Author : Keira Wilkinson
language : en
Publisher:
Release Date :

The Machine Learning Handbook Everything You Need To Know About Machine Learning written by Keira Wilkinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Python Machine Learning For Beginners

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Author : Finn Sanders
language : en
Publisher: Roland Bind
Release Date : 2019-05-22

Python Machine Learning For Beginners written by Finn Sanders and has been published by Roland Bind this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with Computers categories.

Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you type it into the program? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin? This is actually all possible. The programs that were mentioned before are all a part of machine learning. This is a breakthrough in the world of information technology, which allows the computer to learn how to behave, rather than asking the programmer to think of every single instance that may show up with their user ahead of time. it is taking over the world, and you may be using it now, without even realizing it. If you have used a search engine, worked with photo recognition, or done speech recognition devices on your phone, then you have worked with machine learning. And if you combine it with the Python programming language, it is faster, more powerful, and easier (even for beginners) to create your own programs today. Python is considered the ultimate coding language for beginners, but once you start to use it, you will never be able to tell. Many of the best programs out there use this language behind them, and if you are a beginner who is ready to learn, this is a great place to start. If you have a program in mind, or you just want to be able to get some programming knowledge and learn more about the power that comes behind it, then this is the guidebook for you. ★★Some of the topics that we will discuss include★★ ♦ The Fundamentals of Machine Learning, Deep learning, And Neural Networks ♦ How To Set Up Your Environment And Make Sure That Python, TensorFlow And Scikit-Learn Work Well For You ♦ How To Master Neural Network Implementation Using Different Libraries ♦ How Random Forest Algorithms Are Able To Help Out With Machine Learning ♦ How To Uncover Hidden Patterns And Structures With Clustering ♦ How Recurrent Neural Networks Work And When To Use ♦ The Importance Of Linear Classifiers And Why They Need To Be Used In Machine Learning ♦ And Much More! This guidebook is going to provide you with the information you need to get started with Python Machine Learning. If you have an idea for a great program, but you don't have the technical knowledge to make it happen, then this guidebook will help you get started. Machine learning has the capabilities, and Python has the ease, to help you, even as a beginner, create any product that you would like. If you want to learn more about how to make the best programs with Python Machine learning, buy the book today!

The Machine Learning Solutions Architect Handbook

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Author : David Ping
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-01-21

The Machine Learning Solutions Architect Handbook written by David Ping 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 2022-01-21 with Computers categories.

Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is for This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You’ll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.

New Advances In Machine Learning

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Author : Yagang Zhang
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-02-01

New Advances In Machine Learning written by Yagang Zhang and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-01 with Games & Activities categories.

The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners. The wide scope of the book provides a good introduction to many approaches of machine learning, and it is also the source of useful bibliographical information.

The Ai And Deep Learning Handbook

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Author : Donald Lee
language : en
Publisher: Independently Published
Release Date : 2025-03

The Ai And Deep Learning Handbook written by Donald Lee and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03 with Computers categories.

The AI and Deep Learning HandbookA Beginner-Friendly Guide to AI, Machine Learning, and Neural Networks Artificial Intelligence (AI) and Deep Learning are transforming the world, powering everything from virtual assistants to self-driving cars. But how do these technologies work, and why are they so important? The AI and Deep Learning Handbook is the perfect beginner-friendly guide to help you understand the foundations of AI, machine learning, and neural networks-without overwhelming jargon or unnecessary complexity. What You'll Learn in This Book: ✅ Introduction to AI & Deep Learning - Understand what AI is, how it evolved, and why it's shaping the future. ✅ The Basics of Machine Learning - Learn how machines learn from data using supervised, unsupervised, and reinforcement learning. ✅ Deep Learning & Neural Networks - Discover how neural networks mimic the human brain to solve complex problems. ✅ Key AI Applications - Explore real-world use cases, from healthcare and finance to robotics and natural language processing (NLP). ✅ Building Your First AI Model - A step-by-step guide to implementing a simple deep learning model. ✅ Challenges & Ethical Considerations - Learn about bias, transparency, and responsible AI development. Whether you're a student, professional, or tech enthusiast, this book provides a clear and structured roadmap to understanding AI and deep learning. No prior coding or technical knowledge is required-just curiosity and a willingness to learn. Start your AI journey today!

Machine Learning Handbook

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Author : Karen Mazidi
language : en
Publisher:
Release Date : 2020-12-03

Machine Learning Handbook written by Karen Mazidi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with categories.

Machine Learning is a valuable skill for today's computing professionals. This handbook provides the guidance you need in building your skill set in this fast-growing field. R and Python programming are introduced in tutorials, and code samples are given throughout the book. In addition, all code samples are available in a GitHub repo, and a YouTube channel features explanatory video tutorials.

Machine Learning For Data Science Handbook

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Author : Lior Rokach
language : en
Publisher: Springer
Release Date : 2024-08-19

Machine Learning For Data Science Handbook written by Lior Rokach and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-19 with Computers categories.

This handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified whole. The book first surveys, then provides comprehensive yet concise algorithmic descriptions of classic methods plus recently-developed extensions and novel methods. The volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level computer science and engineering students. It is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Machine Learning

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Author : Karen Mazidi
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-06-26

Machine Learning written by Karen Mazidi and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-26 with categories.

Machine Learning is a valuable skill for today's professionals. This book will give you the knowledge and skills you need to implement machine learning solutions. The approach is to give a conceptual understanding of the most common machine learning algorithms and practical experience in implementing them. Along the way, many practical tips are shared in the context of a wide array of machine learning examples. A companion website provides code samples used in the book. Download a free preview chapter at https: //karenmazidi.blogspot.com/