Building Machine Learning Systems With Python
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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.
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 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 A Feature Store
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Author : Jim Dowling
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-11-06
Building Machine Learning Systems With A Feature Store written by Jim Dowling 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 2025-11-06 with Computers categories.
Get up to speed on a new unified approach to building machine learning (ML) systems with a feature store. Using this practical book, data scientists and ML engineers will learn in detail how to develop and operate batch, real-time, and agentic ML systems. Author Jim Dowling introduces fundamental principles and practices for developing, testing, and operating ML and AI systems at scale. You'll see how any AI system can be decomposed into independent feature, training, and inference pipelines connected by a shared data layer. Through example ML systems, you'll tackle the hardest part of ML systems--the data, learning how to transform data into features and embeddings, and how to design a data model for AI. Develop batch ML systems at any scale Develop real-time ML systems by shifting left or shifting right feature computation Develop agentic ML systems that use LLMs, tools, and retrieval-augmented generation Understand and apply MLOps principles when developing and operating ML systems
Building Machine Learning Systems With Python Acorn Packt
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Author : 윌리리커트
language : ko
Publisher:
Release Date : 2014-03-31
Building Machine Learning Systems With Python Acorn Packt written by 윌리리커트 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-31 with categories.
Machine Learning With Python For Everyone
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Author : Mark E. Fenner
language : en
Publisher:
Release Date : 2020
Machine Learning With Python For Everyone written by Mark E. Fenner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
Python Machine Learning
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Author : Anderson Coen
language : en
Publisher:
Release Date : 2020-05-25
Python Machine Learning written by Anderson Coen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-25 with categories.
Python Machine Learning Would you want to learn how to utilize Python to produce machine learning models, but you think it would be too complicated for you? Or maybe you like to automate simple stuff with your PC, but you do not know how to do it. As a novice, you might think programming is complicated. Understanding artificial intelligence coding could take several months. Not to mention that the chance of giving up before perfecting it could be high. Therefore, you could think of employing a professional developer to shorten the time if you have time to develop. That might look like a great solution, but it is surely very costly. You still have pay for the developer if he doesn't do the proper job you want. You know the best solution for this? The perfect solution is to follow a complete programming manual with hands-on projects as well as practical exercises. This book is structured as a course with six chapters. Inside the book, you will be able to go through a first section in which basic and fundamental notions of deep learning are mention, to get to the next chapters made to help you learn advanced coding insights needed to build training data sets for the development of successful machine learning models. In detail, you will learn: The Fundamentals of Machine Learning Machine-Learning Systems An Overview of Python for Machine Learning Understanding Python Libraries for Machine Learning Introducing Neural Networks and Deep Learning Practical Data Management What makes this book different? The majority of books available on the market take a brief look into machine learning, presenting some of the subjects but never going deep. This book is not one of those. Even if you are totally new to programming in 2020 or you're simply looking to widen your abilities as a programmer, this book is perfect for you! Well, stress no more! Buy this book and also learn all... and DOWNLOAD IT NOW!
Building Machine Learning Systems With Python
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Author :
language : ko
Publisher:
Release Date : 2015
Building Machine Learning Systems With Python written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Building Machine Learning Systems With Python Second Edition
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Author : Willi Richert
language : en
Publisher:
Release Date : 2015-03-26
Building Machine Learning Systems With Python Second Edition 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 2015-03-26 with Computers categories.
This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights from data to develop effective solutions for business problems.
Intro To Machine Learning With Python
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Author : RAFAEL. SANDERS
language : en
Publisher: Independently Published
Release Date : 2025-05-22
Intro To Machine Learning With Python written by RAFAEL. SANDERS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Computers categories.
Unlock the world of machine learning with this hands-on guide designed to teach you the fundamentals of building intelligent systems using Python. Whether you're new to machine learning or have some experience, this beginner-friendly book will walk you through practical examples, starting from scratch and moving toward more advanced techniques. Learn how to build machine learning models, train them with data, and make predictions-all using the power of Python and its libraries like scikit-learn, TensorFlow, and Keras. What you'll learn: The basics of machine learning and its real-world applications How to prepare and clean your data for training machine learning models Use Python libraries such as scikit-learn, Pandas, and NumPy for data manipulation and model building Implement supervised learning techniques like linear regression, classification, and support vector machines Explore unsupervised learning techniques such as k-means clustering and principal component analysis Train, test, and evaluate models using metrics like accuracy, precision, and recall Build and deploy machine learning models into production using Flask and Django Understand deep learning with TensorFlow and Keras By the end of this book, you'll be able to create powerful machine learning systems and apply them to real-world problems using Python. Perfect for beginners who want to start building intelligent systems with Python and machine learning.