Practical Machine Learning With Python For Everyone

DOWNLOAD

Download Practical Machine Learning With Python For Everyone PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Practical Machine Learning With Python For Everyone book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Machine Learning With Python For Everyone

DOWNLOAD
Author : Mark Fenner
language : en
Publisher: Addison-Wesley Professional
Release Date : 2019-07-30

Machine Learning With Python For Everyone written by Mark Fenner and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-30 with Computers categories.

The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Machine Learning In Python For Everyone

DOWNLOAD
Author : Jonathan Wayne Korn, PhD
language : en
Publisher: Independently Published
Release Date : 2023-11-26

Machine Learning In Python For Everyone written by Jonathan Wayne Korn, PhD and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-26 with Computers categories.

"Machine Learning in Python for Everyone" is your comprehensive guide to mastering machine learning with the Python programming language. Whether you're a novice looking to embark on your data science journey or an experienced practitioner aiming to refine your skills, this book provides a structured and hands-on approach to understanding and implementing machine learning concepts. Starting with the fundamentals, the book introduces you to machine learning algorithms, data manipulation, and analysis tools in Python. Through practical examples, you'll learn to collect, preprocess, and explore data, gaining insights into data-driven decision-making. The book covers regression, classification, and time series forecasting, equipping you with the knowledge to build predictive models effectively. You'll delve into model evaluation techniques, feature engineering, and model interpretation, ensuring you can not only create models but also optimize their performance. By the end of the book, you'll be proficient in various machine learning algorithms and visualization techniques, ready to tackle real-world challenges with confidence. "Machine Learning in Python for Everyone" is your gateway to unleashing the power of machine learning for practical applications in Python.

Practical Machine Learning With Python For Everyone

DOWNLOAD
Author : Engr John Thomas
language : en
Publisher: Independently Published
Release Date : 2023-09-02

Practical Machine Learning With Python For Everyone written by Engr John Thomas and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-02 with categories.

Prаcticаl Mаchinе Lеаrning with Python fоr Еvеryоnе is thе pеrfеct bооk fоr аnyоnе whо wаnts tо lеаrn thе bаsics оf mаchinе lеаrning with Pythоn. Whеthеr yоu аrе а bеginnеr оr аn еxpеriеncеd prоgrаmmеr, this bооk will tеаch yоu еvеrything yоu nееd tо knоw tо build аnd dеplоy mаchinе lеаrning mоdеls. Thе bооk stаrts with аn intrоductiоn tо mаchinе lеаrning, аnd thеn cоvеrs thе mоst impоrtаnt mаchinе lеаrning аlgоrithms, such аs linеаr rеgrеssiоn, lоgistic rеgrеssiоn, suppоrt vеctоr mаchinеs, аnd dеcisiоn trееs. Yоu will аlsо lеаrn аbоut dаtа prеpаrаtiоn аnd clеаning, mоdеl еvаluаtiоn, аnd cоmmоn pitfаlls tо аvоid whеn wоrking with mаchinе lеаrning. Thrоughоut thе bооk, yоu will wоrk оn prаcticаl prоjеcts thаt will hеlp yоu аpply thе cоncеpts yоu lеаrn. By thе еnd оf thе bооk, yоu will bе аblе tо Build mаchinе lеаrning mоdеls tо sоlvе rеаl-wоrld prоblеms Usе Pythоn tо implеmеnt mаchinе lеаrning аlgоrithms Еvаluаtе thе pеrfоrmаncе оf mаchinе lеаrning mоdеls Аvоid cоmmоn pitfаlls whеn wоrking with mаchinе lеаrning This bооk will bе usеful fоr grаduаtеs, pоstgrаduаtеs, аnd rеsеаrch studеnts whо еithеr hаvе аn intеrеst in this subjеct оr hаvе this subjеct аs а pаrt оf thеir curriculum. Thе rеаdеr cаn bе а bеginnеr оr аn аdvаncеd lеаrnеr. This bооk hаs bееn prеpаrеd fоr the studеnts аs wеll аs prоfеssiоnаls tо rаmp up quickly. This bооk is а stеpping stоnе tо yоur Mаchinе Lеаrning jоurnеy. Prаcticаl Mаchinе Lеаrning with Pythоn fоr Еvеryоnе is writtеn in а clеаr аnd cоncisе stylе, аnd it is pаckеd with еxаmplеs аnd еxеrcisеs. If yоu аrе sеriоus аbоut lеаrning mаchinе lеаrning with Pythоn, thеn this is thе bооk fоr yоu.

Practical Deep Learning

DOWNLOAD
Author : Ronald T. Kneusel
language : en
Publisher: No Starch Press
Release Date : 2021-02-23

Practical Deep Learning written by Ronald T. Kneusel and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-23 with Computers categories.

Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects. If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math—the book will cover the rest. After an introduction to Python, you’ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models’ performance. You’ll also learn: How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector Machines How neural networks work and how they’re trained How to use convolutional neural networks How to develop a successful deep learning model from scratch You’ll conduct experiments along the way, building to a final case study that incorporates everything you’ve learned. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects.

Python Machine Learning

DOWNLOAD
Author : Computer Programming Academy
language : en
Publisher:
Release Date : 2020-11-10

Python Machine Learning written by Computer Programming Academy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with categories.

Inside this book you will find all the basic notions to start with Python and all the programming concepts to build machine learning models. With our proven strategies you will write efficient Python codes in less than a week!

Machine Learning Engineering With Python

DOWNLOAD
Author : Andrew P. McMahon
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-11-05

Machine Learning Engineering With Python written by Andrew P. McMahon 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 2021-11-05 with Computers categories.

Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments Key Features Explore hyperparameter optimization and model management tools Learn object-oriented programming and functional programming in Python to build your own ML libraries and packages Explore key ML engineering patterns like microservices and the Extract Transform Machine Learn (ETML) pattern with use cases Book DescriptionMachine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services. Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems. By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.What you will learn Find out what an effective ML engineering process looks like Uncover options for automating training and deployment and learn how to use them Discover how to build your own wrapper libraries for encapsulating your data science and machine learning logic and solutions Understand what aspects of software engineering you can bring to machine learning Gain insights into adapting software engineering for machine learning using appropriate cloud technologies Perform hyperparameter tuning in a relatively automated way Who this book is for This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. If you're someone who manages or wants to understand the production life cycle of these systems, you'll find this book useful. Intermediate-level knowledge of Python is necessary.

Practical Machine Learning With Python

DOWNLOAD
Author : Dipanjan Sarkar
language : en
Publisher: Apress
Release Date : 2017-12-20

Practical Machine Learning With Python written by Dipanjan Sarkar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-20 with Computers categories.

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries andframeworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students

Python For Data Science

DOWNLOAD
Author : Jarrel E.
language : en
Publisher:
Release Date : 2023-11-15

Python For Data Science written by Jarrel E. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-15 with categories.

Dive into the world of data science with Python for Data Science: A Practical Approach to Machine Learning. This comprehensive guide is meticulously crafted to provide you with the knowledge and skills necessary to excel in the ever-evolving field of data science. Authored by a seasoned writer who understands the nuances of the craft, this book is a masterpiece in itself, delivering a deep dive into the realm of Python and its application in data science. The book's primary focus is on machine learning, making it an invaluable resource for those seeking to harness the power of data to make informed decisions. In Python for Data Science, you'll find a well-structured and organized approach to learning Python, with an emphasis on its real-world applications. The book presents the subject matter with clarity and precision, ensuring that every concept is explained in a coherent and logical manner. Key highlights of the book include: A comprehensive introduction to Python, including its syntax and core libraries. In-depth coverage of data manipulation and analysis using popular libraries like Pandas and NumPy. A thorough exploration of machine learning algorithms, from the fundamentals to advanced techniques. Hands-on examples and practical exercises to reinforce your understanding. Real-world case studies and projects that demonstrate how Python can be used to solve complex data science challenges. Whether you're a novice looking to embark on a data science journey or an experienced professional seeking to expand your skill set, this book offers something for everyone. Its professionally written content is your gateway to mastering Python and machine learning for data science. Python for Data Science: A Practical Approach to Machine Learning is more than just a book; it's a comprehensive resource that empowers you to become a proficient data scientist. Dive into the world of data with confidence and transform your career with the knowledge and expertise gained from this remarkable guide.

Python Machine Learning

DOWNLOAD
Author : Anthony MC Fedden
language : en
Publisher:
Release Date : 2019-08-04

Python Machine Learning written by Anthony MC Fedden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-04 with categories.

Master the Art of Machine Learning with Python Programming! Don't you just wish you could download python coding & machine learning skills directly into your brain and become a killer programmer? Now it is possible! In this 2-in-1 books bundle, you'll find the complete guide to Python programming & Machine Learning. No need to research the internet for information, no need to bang your head against the wall because your codes aren't working - It's all here! In this special 2-in-1 books bundle, you'll learn: How to start programming with Python, even if you have no experience The most important things you can do with Python, and why websites like youtube, Facebook and Dropbox are using Python as their primary coding language The fundamentals of machine learning How to code machine learning algorithms with Python And much, much more! FAQ What am I going to get from this books bundle? You're going to learn how to write amazing python codes & machine-learning algorithms in your projects. In fact, you'll see many real-world applications of machine learning inside this book to trigger your creativity and to emphasize the importance of this knowledge. How can I know that I will become a good programmer? No one is born as a programmer. Everyone can become an expert programmer with the right tools, knowledge and guidance. And this is exactly what this book is all about - It will take you by the hand to show you how to program in a practical, professional manner. What kind of results can I expect? Coding, like anything else in life, requires practice. In this book you'll get all the information you need about Python & machine learning. Then, you only need to practice. With the right amount of practice, you'll become a top-notch Python & machine learning programmer. Don't just wish to become an awesome programmer - Take action now! Scroll up, click on "Buy Now with 1-Click" and get your copy!

Machine Learning And Deep Learning With Python

DOWNLOAD
Author : James Chen
language : en
Publisher: James Chen
Release Date : 2023-02-07

Machine Learning And Deep Learning With Python written by James Chen and has been published by James Chen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-07 with Computers categories.

This book is a comprehensive guide to understanding and implementing cutting-edge machine learning and deep learning techniques using Python programming language. Written with both beginners and experienced developers in mind, this book provides a thorough overview of the foundations of machine learning and deep learning, including mathematical fundamentals, optimization algorithms, and neural networks. Starting with the basics of Python programming, this book gradually builds up to more advanced topics, such as artificial neural networks, convolutional neural networks, and generative adversarial networks. Each chapter is filled with clear explanations, practical examples, and step-by-step tutorials that allow readers to gain a deep understanding of the underlying principles of machine learning and deep learning. Throughout the book, readers will also learn how to use popular Python libraries and packages, including numpy, pandas, scikit-learn, TensorFlow, and Keras, to build and train powerful machine learning and deep learning models for a variety of real-world applications, such as regression and classification, K-means, support vector machines, and recommender systems. Whether you are a seasoned data scientist or a beginner looking to enter the world of machine learning, this book is the ultimate resource for mastering these cutting-edge technologies and taking your skills to the next level. High-school level of mathematical knowledge and all levels (including entry-level) of programming skills are good to start, all Python codes are available at Github.com. Table Of Contents 1 Introduction 1.1 Artificial Intelligence, Machine Learning and Deep Learning 1.2 Whom This Book Is For 1.3 How This Book Is Organized 2 Environments 2.1 Source Codes for This Book 2.2 Cloud Environments 2.3 Docker Hosted on Local Machine 2.4 Install on Local Machines 2.5 Install Required Packages 3 Math Fundamentals 3.1 Linear Algebra 3.2 Calculus 3.3 Advanced Functions 4 Machine Learning 4.1 Linear Regression 4.2 Logistic Regression 4.3 Multinomial Logistic Regression 4.4 K-Means Clustering 4.5 Principal Component Analysis (PCA) 4.6 Support Vector Machine (SVM) 4.7 K-Nearest Neighbors 4.8 Anomaly Detection 4.9 Artificial Neural Network (ANN) 4.10 Convolutional Neural Network (CNN) 4.11 Recommendation System 4.12 Generative Adversarial Network References About the Author