machine learning

Hands-On Machine Learning for Algorithmic Trading Design and implement investment strategies based on smart algorithms that learn from data using Python【電子書籍】 Stefan JansenPractical Time Series Analysis Prediction with Statistics and Machine Learning【電子書籍】 Aileen NielsenArtificial Intelligence and Machine Learning for Healthcare Vol. 2: Emerging Methodologies and Trends【電子書籍】送料無料 Learning Resouces ラーニングリソーシズ カラフルギアブロック マシン イン モーション おもちゃ ブロック 子供 図形 DIY 知育玩具 男の子 女の子 はめ込み 組み立て 立体パズルHands-On Machine Learning with C Build, train, and deploy end-to-end machine learning and deep learning pipelines【電子書籍】 Kirill KolodiazhnyiMachine Learning with Quantum Computers【電子書籍】 Maria SchuldMachine Learning with PyTorch and Scikit-Learn Develop machine learning and deep learning models with Python【電子書籍】 Sebastian RaschkaDesigning Machine Learning Systems: An Iterative Process for Production-Ready Applications DESIGNING MACHINE LEARNING SYS Chip HuyenAdvances in Financial Machine Learning【電子書籍】 Marcos Lopez de PradoMachine Learning for Practical Decision Making A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics【電子書籍】 Christo El MorrEEG Signal Processing and Machine Learning【電子書籍】 Saeid SaneiAlgorithmic Aspects of Machine Learning【電子書籍】 Ankur MoitraPython Machine Learning: Introduction to Machine Learning with Python【電子書籍】 Frank MillsteinAdvances in Financial Machine Learning ADVANCES IN FINANCIAL MACHINE Marcos Lopez de PradoData Science and Machine Learning Mathematical and Statistical Methods【電子書籍】 Dirk P. KroeseProbabilistic Machine Learning: An Introduction PROBABILISTIC MACHINE LEARNING （Adaptive Computation and Machine Learning） Kevin P. MurphyProbabilistic Machine Learning An Introduction【電子書籍】 Kevin P. Murphy【中古】【輸入品 未使用】Convex Optimization: Algorithms and Complexity (Foundations and Trends in Machine Learning)Probabilistic Machine Learning for Finance and Investing【電子書籍】 Deepak K. Kanungo【中古】Azure Machine Learning実践ガイド さわってわかる機械学習 /日経BP/千賀大司（単行本）

Hands-On Machine Learning for Algorithmic Trading Design and implement investment strategies based on smart algorithms that learn from data using Python【電子書籍】[ Stefan Jansen ]

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価格 ￥4,765 
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  • ＜p＞＜strong＞Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Implement machine learning algorithms to build, train, and validate algorithmic models＜/li＞ ＜li＞Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions＜/li＞ ＜li＞Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.＜/p＞ ＜p＞This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a fra...

    • Practical Time Series Analysis Prediction with Statistics and Machine Learning【電子書籍】[ Aileen Nielsen ]

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  • ＜p＞Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.＜/p＞ ＜p＞Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly.＜/p＞ ＜p＞You’ll get the guidance you need to confidently:＜/p＞ ＜ul＞ ＜li＞Find and wrangle time series data＜/li＞ ＜li＞Undertake explo...

    • Artificial Intelligence and Machine Learning for Healthcare Vol. 2: Emerging Methodologies and Trends【電子書籍】

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    価格 ￥18,231 
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  • ＜p＞In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the bett...

    • [送料無料] [Learning Resouces ラーニングリソーシズ] カラフルギアブロック マシン イン モーション おもちゃ ブロック 子供 図形 DIY 知育玩具 男の子 女の子 はめ込み 組み立て 立体パズル

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    • Hands-On Machine Learning with C++ Build, train, and deploy end-to-end machine learning and deep learning pipelines【電子書籍】[ Kirill Kolodiazhnyi ]

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    価格 ￥4,198 
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  • ＜p＞＜strong＞Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Become familiar with data processing, performance measuring, and model selection using various C++ libraries＜/li＞ ＜li＞Implement practical machine learning and deep learning techniques to build smart models＜/li＞ ＜li＞Deploy machine learning models to work on mobile and embedded devices＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ...

    • Machine Learning with Quantum Computers【電子書籍】[ Maria Schuld ]

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  • ＜p＞This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards.＜/p＞ ＜p＞The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。

    • Machine Learning with PyTorch and Scikit-Learn Develop machine learning and deep learning models with Python【電子書籍】[ Sebastian Raschka ]

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    価格 ￥4,765 
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  • ＜p＞＜strong＞This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework.＜/strong＞＜/p＞ ＜p＞＜strong＞Purchase of the print or Kindle book includes a free eBook in PDF format.＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Learn applied machine learning with a solid foundation in theory＜/li＞ ＜li＞Clear, intuitive explanations take you deep into the theory and practice of Python machine learning＜/li＞ ＜li＞Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.＜/p＞ ＜p＞Packed with clear explanations...

    • Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications DESIGNING MACHINE LEARNING SYS [ Chip Huyen ]

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  • DESIGNING MACHINE LEARNING SYS Chip Huyen OREILLY MEDIA2022 Paperback English ISBN：9781098107963 洋書 Computers & Science（コンピューター＆科学） Computers

    • Advances in Financial Machine Learning【電子書籍】[ Marcos Lopez de Prado ]

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  • ＜p＞＜strong＞Learn to understand and implement the latest machine learning innovations to improve your investment performance＜/strong＞＜/p＞ ＜p＞Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that ? until recently ? only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.＜/p＞ ＜p＞In the book, readers will learn how to:＜/p＞ ＜ul＞ ＜li＞Structure big data in a way that is amenable to ML algorithms＜/li＞ ＜li＞Conduct research with ML algorithms on big data＜/li＞ ＜li＞Use supercomputing methods and back test their discoveries while avoiding false positives＜/li＞ ＜/ul＞ ＜p＞＜em＞Advances in Financial Machine Learning＜/em＞ addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can...

    • Machine Learning for Practical Decision Making A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics【電子書籍】[ Christo El Morr ]

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    価格 ￥14,585 
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  • ＜p＞This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.＜/p＞ ＜p＞The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こち...

    • EEG Signal Processing and Machine Learning【電子書籍】[ Saeid Sanei ]

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    価格 ￥16,479 
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  • ＜p＞＜strong＞EEG Signal Processing and Machine Learning＜/strong＞＜/p＞ ＜p＞＜strong＞Explore cutting edge techniques at the forefront of electroencephalogram research and artificial intelligence from leading voices in the field＜/strong＞＜/p＞ ＜p＞The newly revised Second Edition of ＜em＞EEG Signal Processing and Machine Learning＜/em＞ delivers an inclusive and thorough exploration of new techniques and outcomes in electroencephalogram (EEG) research in the areas of analysis, processing, and decision making about a variety of brain states, abnormalities, and disorders using advanced signal processing and machine learning techniques. The book content is substantially increased upon that of the first edition and, while it retains what made the first edition so popular, is composed of more than 50% new material.＜/p＞ ＜p＞The distinguished authors have included new material on tensors for EEG analysis and sensor fusion, as well as new chapters on mental fatigue, sleep, seizur...

    • Algorithmic Aspects of Machine Learning【電子書籍】[ Ankur Moitra ]

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    価格 ￥4,165 
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  • ＜p＞This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリッ...

    • Python Machine Learning: Introduction to Machine Learning with Python【電子書籍】[ Frank Millstein ]

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  • ＜p＞Machine learning is ＜strong＞the science of getting machines and computers to act and learn on their own without being programmed explicitly＜/strong＞. In just the past decade, this field has given us practical speech recognition, self-driving cars, greatly improved understanding of the overall human genome, effective web search and much more. Therefore, there is no wondering why machine learning is so pervasive today.In this book, you will learn more about ＜strong＞interpreting machine learning techniques using Python＜/strong＞. You will also gain practice as you implement the most popular machine learning techniques on some real-world examples and you will learn both about the theoretical and practical machine learning implementation using Python's machine learning libraries.At the end of the book, you will be able to cope with more complex machine learning issues solving your own problems using Python and its libraries specifically crafted for machine learning.＜/p＞ ＜p...

    • Advances in Financial Machine Learning ADVANCES IN FINANCIAL MACHINE [ Marcos Lopez de Prado ]

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  • ADVANCES IN FINANCIAL MACHINE Marcos Lopez de Prado WILEY2018 Hardcover English ISBN：9781119482086 洋書 Business & SelfーCulture（ビジネス） Business & Economics

    • Data Science and Machine Learning Mathematical and Statistical Methods【電子書籍】[ Dirk P. Kroese ]

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  • ＜p＞"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!" ＜strong＞-Nicholas Hoell, University of Toronto＜/strong＞＜/p＞ ＜p＞＜em＞"This is a well-written book that provides a deeper dive into data-scientific methods than many introductory texts. The writing is clear, and the text logically builds up regularization, classification, and decision trees. Compared to its probable competitors, it carves out a unique niche.＜/em＞ ...

    • Probabilistic Machine Learning: An Introduction PROBABILISTIC MACHINE LEARNING （Adaptive Computation and Machine Learning） [ Kevin P. Murphy ]

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  • PROBABILISTIC MACHINE LEARNING Adaptive Computation and Machine Learning Kevin P. Murphy MIT PR2022 Hardcover English ISBN：9780262046824 洋書 Computers & Science（コンピューター＆科学） Computers

    • Probabilistic Machine Learning An Introduction【電子書籍】[ Kevin P. Murphy ]

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    価格 ￥13,352 
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  • ＜p＞＜strong＞A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.＜/strong＞＜/p＞ ＜p＞This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation.＜/p＞ ＜p＞＜em＞Probabilistic Machine Learning＜/em＞ grew out of the author’s 2012 book, ＜em＞Machine Learning: A Probabilistic Perspective＜/em＞. More than just a simple update, this is a completely new book that reflects the dramatic developme...

    • 【中古】【輸入品・未使用】Convex Optimization: Algorithms and Complexity (Foundations and Trends in Machine Learning)

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  • 【中古】【輸入品・未使用】Convex Optimization: Algorithms and Complexity (Foundations and Trends in Machine Learning)【メーカー名】Now Pub【メーカー型番】【ブランド名】Now Publishers【商品説明】Convex Optimization: Algorithms and Complexity (Foundations and Trends in Machine Learning)当店では初期不良に限り、商品到着から7日間は返品を 受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。　※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せお願い致しま...

    • Probabilistic Machine Learning for Finance and Investing【電子書籍】[ Deepak K. Kanungo ]

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  • ＜p＞There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This generative ensemble learns continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, retrodiction, prediction, and counterfactual reasoning. Probabilistic ML also lets you systematically encode personal, empirical, and institutional knowledge into ML models.＜/p＞ ＜p＞Whether they're based on academic theories or ML strategies, all financial models are subject to modeling errors that can be mitigated but not eliminated. Probabilistic ML systems treat uncertainties and errors of financial and investing systems as features, not bugs. And they quantify uncertainty generated from inexact inputs and outputs as probability distributions, not point estimates. This makes for realistic financial inferences and predictions that are useful for decision-making and risk management.＜/p＞ ＜p＞Unl...

    • 【中古】Azure　Machine　Learning実践ガイド さわってわかる機械学習 /日経BP/千賀大司（単行本）

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  • ◆◆◆非常にきれいな状態です。中古商品のため使用感等ある場合がございますが、品質には十分注意して発送いたします。 【毎日発送】 商品状態 著者名 千賀大司、山本和貴 出版社名 日経BP 発売日 2016年06月 ISBN 9784822236472
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