The Hundred Page Machine Learning Book
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The Hundred Page Machine Learning Book
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Author : Andriy Burkov
language : en
Publisher:
Release Date : 2019-01-11
The Hundred Page Machine Learning Book written by Andriy Burkov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-11 with Machine learning categories.
Endorsed by top AI authors, academics and industry leaders, The Hundred-Page Machine Learning Book is the number one bestseller on Amazon and the most recommended book for starters and experienced professionals alike.
The Hundred Page Machine Learning Book
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Author : Andriy Burkov
language : en
Publisher:
Release Date : 2019
The Hundred Page Machine Learning Book written by Andriy Burkov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Machine learning categories.
Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.
Machine Learning Engineering
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Author : Andriy Burkov
language : en
Publisher: True Positive Incorporated
Release Date : 2020-09-08
Machine Learning Engineering written by Andriy Burkov and has been published by True Positive Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-08 with categories.
The most comprehensive book on the engineering aspects of building reliable AI systems. "If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." -Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." -Karolis Urbonas, Head of Machine Learning and Science at Amazon
Machine Learning For Hackers
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Author : Drew Conway
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-02-13
Machine Learning For Hackers written by Drew Conway 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 2012-02-13 with Computers categories.
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data
Computational Homology
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Author : Tomasz Kaczynski
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18
Computational Homology written by Tomasz Kaczynski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-18 with Mathematics categories.
Homology is a powerful tool used by mathematicians to study the properties of spaces and maps that are insensitive to small perturbations. This book uses a computer to develop a combinatorial computational approach to the subject. The core of the book deals with homology theory and its computation. Following this is a section containing extensions to further developments in algebraic topology, applications to computational dynamics, and applications to image processing. Included are exercises and software that can be used to compute homology groups and maps. The book will appeal to researchers and graduate students in mathematics, computer science, engineering, and nonlinear dynamics.
Machine Learning Engineering
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Author : Andriy Burkov
language : en
Publisher: True Positive Incorporated
Release Date : 2020-09-08
Machine Learning Engineering written by Andriy Burkov and has been published by True Positive Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-08 with categories.
From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book, this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of building reliable machine learning solutions that scale. Andriy Burkov has a Ph.D. in AI and is the leader of a machine learning team at Gartner. This book is based on Andriy's own 15 years of experience in solving problems with AI as well as on the published experience of the industry leaders. "If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." -Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." -Karolis Urbonas, Head of Machine Learning and Science at Amazon
The Hundred Page Machine Learning Book
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Author : 안드리부르코프
language : ko
Publisher:
Release Date : 2019-08-30
The Hundred Page Machine Learning Book written by 안드리부르코프 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with categories.
Decoding Gpt An Intuitive Understanding Of Large Language Models Generative Ai Machine Learning And Neural Networks
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Author : Devesh Rajadhyax
language : en
Publisher: StoryMirror Infotech Pvt Ltd
Release Date : 2024-02-03
Decoding Gpt An Intuitive Understanding Of Large Language Models Generative Ai Machine Learning And Neural Networks written by Devesh Rajadhyax and has been published by StoryMirror Infotech Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-03 with Computers categories.
About the Book: In a world where Large Language Models (LLMs) like ChatGPT have ignited imaginations, individuals from all walks of life are eager to embrace the transformative potential of Generative AI. Whether you're a tech professional, decision-maker, an entrepreneur or a budding student, the pursuit of understanding this new paradigm is a shared endeavor. It's within this landscape that 'Decoding GPT: an Intuitive Introduction to LLMs' emerges as your essential guide. Now, as the author of "Decoding GPT," Devesh Rajadhyax invites you to join him on a journey into the heart of LLMs. This book starts with the fundamentals of machine learning and neural networks and then dives into the inner workings of Large Language Models, all while keeping complex math and programming at bay. Instead, it employs clear diagrams and relatable examples to foster a deep understanding. If your aim is to thrive in the world of generative AI, 'Decoding GPT' is your passport to a brighter future in this exciting field. About the Author: Devesh Rajadhyax is an entrepreneur and visionary communicator, whose life has been an unfolding journey of scientific curiosity and technological innovation. With a scientific curiosity that has defined him since childhood, Devesh has immersed himself in the ever-evolving realm of technology, leaving an indelible mark on the AI landscape through his brainchild, Cere Labs. Devesh’s journey is marked by an unwavering passion for technology that goes beyond the ordinary. He’s not just a leader; he’s a visionary who shapes the very course of innovation at Cere Labs. Beyond the boardroom, Devesh is a gifted writer, known for his insightful science and technology blogs and articles. His blog, “Yours Sciencely,” served as a welcoming space for those interested in delving into intricate scientific ideas presented in clear and eloquent language. His contributions to publications like “Towards Data Science” have been celebrated, demonstrating his prowess in translating complex ideas for a wider audience. Devesh’s influence extends to the academic world, where he has served on the Board of Studies for prestigious engineering colleges and universities. His warm rapport with professors and students in the technical realm, particularly computer engineering, has made him a respected figure in industry-academia interaction.
A Guide To Applied Machine Learning For Biologists
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Author : Mohammad "Sufian" Badar
language : en
Publisher: Springer Nature
Release Date : 2023-06-21
A Guide To Applied Machine Learning For Biologists written by Mohammad "Sufian" Badar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-21 with Science categories.
This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.
Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing
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Author : Y. A. Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2023-07-25
Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing written by Y. A. Liu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.
Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) Improved polymer process operability and control through steady-state and dynamic simulation models Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.