Building Machine Learning Systems With Python Third Edition
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Building Machine Learning Systems With Python Third Edition
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Author : Luis Coelho
language : en
Publisher:
Release Date : 2018
Building Machine Learning Systems With Python Third Edition written by Luis Coelho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Python (Computer program language) categories.
Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries to implement in your projects Book Description Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems. Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python, being a dynamic language, allows for fast exploration and experimentation. This book shows you exactly how to find patterns in your raw data. You will start by brushing up on your Python machine learning knowledge and being introduced to libraries. You'll quickly get to grips with serious, real-world projects on datasets, using modeling and creating recommendation systems. With Building Machine Learning Systems with Python, you'll gain the tools and understanding required to build your own systems, all tailored to solve real-world data analysis problems. By the end of this book, you will be able to build machine learning systems using techniques and methodologies such as classification, sentiment analysis, computer vision, reinforcement learning, and neural networks. What you will learn Build a classification system that can be applied to text, images, and sound Employ Amazon Web Services (AWS) to run analysis on the cloud Solve problems related to regression using scikit-learn and TensorFlow Recommend products to users based on their past purchases Understand different ways to apply deep neural networks on structured data Address recent developments in the field of computer vision and reinforcement learning Who this book is for Building Machine Learning Systems with Python is for data scientists, machine learning developers, and Python developers who want to learn how to build increasingly complex machine learning systems. You will use Python's machine learning capabilities to develop effective solutions. Prior knowledge of Python progr ...
Building Machine Learning Systems With Python
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Author : Luis Pedro Coelho
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-31
Building Machine Learning Systems With Python written by Luis Pedro Coelho 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 2018-07-31 with Computers categories.
Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries to implement in your projects Book Description Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems. Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python, being a dynamic language, allows for fast exploration and experimentation. This book shows you exactly how to find patterns in your raw data. You will start by brushing up on your Python machine learning knowledge and being introduced to libraries. You'll quickly get to grips with serious, real-world projects on datasets, using modeling and creating recommendation systems. With Building Machine Learning Systems with Python, you’ll gain the tools and understanding required to build your own systems, all tailored to solve real-world data analysis problems. By the end of this book, you will be able to build machine learning systems using techniques and methodologies such as classification, sentiment analysis, computer vision, reinforcement learning, and neural networks. What you will learn Build a classification system that can be applied to text, images, and sound Employ Amazon Web Services (AWS) to run analysis on the cloud Solve problems related to regression using scikit-learn and TensorFlow Recommend products to users based on their past purchases Understand different ways to apply deep neural networks on structured data Address recent developments in the field of computer vision and reinforcement learning Who this book is for Building Machine Learning Systems with Python is for data scientists, machine learning developers, and Python developers who want to learn how to build increasingly complex machine learning systems. You will use Python's machine learning capabilities to develop effective solutions. Prior knowledge of Python programming is expected.
Building Machine Learning Systems With Python
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Author : Willi Richert
language : en
Publisher:
Release Date : 2013
Building Machine Learning Systems With Python written by Willi Richert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Machine learning categories.
Python Machine Learning By Example
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Author : Yuxi (Hayden) Liu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-10-30
Python Machine Learning By Example written by Yuxi (Hayden) Liu 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 2020-10-30 with Computers categories.
A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques Key FeaturesDive into machine learning algorithms to solve the complex challenges faced by data scientists todayExplore cutting edge content reflecting deep learning and reinforcement learning developmentsUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endBook Description Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML). With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements. At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries. Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP. By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems. What you will learnUnderstand the important concepts in ML and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text analysis and NLP using Python libraries such NLTK and GensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow 2, PyTorch, and scikit-learnWho this book is for If you’re a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.
Web Client Programming With Perl
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Author : Clinton Wong
language : en
Publisher: O'Reilly Media
Release Date : 1997
Web Client Programming With Perl written by Clinton Wong 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 1997 with Computers categories.
This text teaches users how to extend scripting skills to the Web. Readers learn the basics of how browsers communicate with servers and how to write customized Web clients to automate common tasks.
The Unofficial Guide To Lego Mindstorms Robots
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Author : Jonathan Knudsen
language : en
Publisher: O'Reilly Media
Release Date : 1999
The Unofficial Guide To Lego Mindstorms Robots written by Jonathan Knudsen 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 1999 with Computers categories.
The LEGO MINDSTORMS Robotics Invention System is a wildly popular kit for building mobile robots. Get the most out of the kit for hands-on robot projects, featuring descriptions of advanced mechanical techniques, programming with third-party software, building sensors, working with more than one kits and sources of extra parts.
Practical C Programming
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Author : Steve Oualline
language : en
Publisher: O'Reilly Media, Inc.
Release Date : 1995
Practical C Programming written by Steve Oualline and has been published by O'Reilly Media, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Unlike most other C++ books, this one emphasizes a practical, real world approach, including how to debug, how to make your code understandable to others, and how to understand other people's codes. Topics covered include good programming sytle, C++ syntax, debugging and optimization and common programming mistakes.
Access Database Design Programming
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Author : Steven Roman
language : en
Publisher: O'Reilly Media
Release Date : 1999
Access Database Design Programming written by Steven Roman 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 1999 with Computers categories.
Directed at Access developers of all levels, this second edition covers the new VBA Integrated Development Environment used by Word, Excell, and PowerPoint; the VBA language itself; Microsoft's latest data access technology, Active DataObjects; plus Open Database Connectivity.
Writing Excel Macros
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Author : Steven Roman
language : en
Publisher: O'Reilly Media
Release Date : 1999
Writing Excel Macros written by Steven Roman 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 1999 with Computers categories.
A guide to the fundamentals of streamlining the Microsoft spreadsheet software using Visual Basic for Applications. Roman says he hates books full of humorous anecdotes, so if you want to hear his favorite jokes, come over some night and bring the beer. The book, on the other hand, should get users to the level at which they do not depend on any resource but the help file and maybe a good reference on Excel. He does not include a bibliography. Annotation copyrighted by Book News, Inc., Portland, OR
Learning Perl Tk
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Author : Nancy Walsh
language : en
Publisher: O'Reilly Media
Release Date : 1999
Learning Perl Tk written by Nancy Walsh 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 1999 with Computers categories.
This tutorial for Perl/Tk, the extension to Perl for creating graphical user interfaces, shows readers how to use Perl/Tk to build graphical, event-driven applications for both Windows and UNIX. Rife with illustrations, it teaches how to implement and configure each Perl/Tk graphical element.