The Pragmatic Programmer For Machine Learning
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The Pragmatic Programmer For Machine Learning
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Author : Marco Scutari
language : en
Publisher: CRC Press
Release Date : 2023-03-31
The Pragmatic Programmer For Machine Learning written by Marco Scutari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Computers categories.
Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions. Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models. From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers.
Programming Machine Learning
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Author : Paolo Perrotta
language : en
Publisher: The Pragmatic Programmers LLC
Release Date : 2020-03-31
Programming Machine Learning written by Paolo Perrotta and has been published by The Pragmatic Programmers LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-31 with Computers categories.
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.
Pragmatic Ai
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Author : Noah Gift
language : en
Publisher: Addison-Wesley Professional
Release Date : 2018-07-12
Pragmatic Ai written by Noah Gift 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 2018-07-12 with Computers categories.
Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Machine Intelligence And Robotics Report Of The Nasa Study Group
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Author :
language : en
Publisher:
Release Date : 1980
Machine Intelligence And Robotics Report Of The Nasa Study Group written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with categories.
Programming Ruby
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Author : David Thomas
language : en
Publisher: Addison-Wesley Professional
Release Date : 2001
Programming Ruby written by David Thomas 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 2001 with Computers categories.
"Ruby is a true object-oriented programming language that makes the craft of programming easier. Ruby is a transparent language: It doesn't obscure your program behind unnecessary syntax or reams of extra support code." "Guided by the Principle of Least Surprise, Ruby embodies the values of consistency and simplicity of expression. It's more than a programming language: It's a concise way of expressing ideas. Ruby supports natural intelligence - yours." "Programming Ruby: The Pragmatic Programmer's Guide is your complete Ruby resource. It provides a tutorial and overview of Ruby version 1.6; a detailed description of the language's structure, syntax, and operation; a guide to building applications with Ruby; and a comprehensive library reference."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
Artificial Intelligence Techniques In Language Learning
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Author : Rex William Last
language : en
Publisher: Ellis Horwood
Release Date : 1989
Artificial Intelligence Techniques In Language Learning written by Rex William Last and has been published by Ellis Horwood this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
Proceedings Of The Seventh Conference Of The Society For The Study Of Artificial Intelligence And Simulation Of Behaviour
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Author : Society for the Study of Artificial Intelligence and Simulation of Behaviour
language : en
Publisher: Morgan Kaufmann
Release Date : 1989
Proceedings Of The Seventh Conference Of The Society For The Study Of Artificial Intelligence And Simulation Of Behaviour written by Society for the Study of Artificial Intelligence and Simulation of Behaviour and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
Dr Dobb S Journal Of Software Tools For The Professional Programmer
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Author :
language : en
Publisher:
Release Date : 1987
Dr Dobb S Journal Of Software Tools For The Professional Programmer written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Application software categories.
Genetic Algorithms And Machine Learning For Programmers
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Author : Frances Buontempo
language : en
Publisher: The Pragmatic Programmers LLC
Release Date : 2019-01-23
Genetic Algorithms And Machine Learning For Programmers written by Frances Buontempo and has been published by The Pragmatic Programmers LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-23 with Computers categories.
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems. In this book, you will: Use heuristics and design fitness functions. Build genetic algorithms. Make nature-inspired swarms with ants, bees and particles. Create Monte Carlo simulations. Investigate cellular automata. Find minima and maxima, using hill climbing and simulated annealing. Try selection methods, including tournament and roulette wheels. Learn about heuristics, fitness functions, metrics, and clusters. Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag; an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem. Get inspired to design your own machine learning projects and become familiar with the jargon. What You Need: Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions.
Teaching Machines And Programmed Learning
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Author : Ralph D. Gee
language : en
Publisher: Hatfield [Eng.] : Hertfordshire County Council, Technical Library & Information Service, Hatfield College of Technology
Release Date : 1965
Teaching Machines And Programmed Learning written by Ralph D. Gee and has been published by Hatfield [Eng.] : Hertfordshire County Council, Technical Library & Information Service, Hatfield College of Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 1965 with Programmed instruction categories.