machine learning finance を各ネット通販で比較

Quantum Machine Learning and Optimisation in Finance On the Road to Quantum Advantage【電子書籍】[ Antoine Jacquier ]

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価格￥5,447

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＜p＞＜strong＞Learn the principles of quantum machine learning and how to apply them＜/strong＞＜/p＞＜p＞＜strong＞While focus is on financial use cases, all the methods and techniques are transferable to other fields＜/strong＞＜/p＞＜p＞＜strong＞Purchase of Print or Kindle includes a free eBook in PDF＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Discover how to solve optimisation problems on quantum computers that can provide a speedup edge over classical methods＜/li＞＜li＞Use methods of analogue and digital quantum computing to build powerful generative models＜/li＞＜li＞Create the latest algorithms that work on Noisy Intermediate-Scale Quantum (NISQ) computers＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞With recent advances in quantum computing technology, we finally reached the era of Noisy Intermediate-Scale Quantum (NISQ) computing. NISQ-era quantum computers are powerful enough to test quantum computing algorithms and solve hard real-world problems...

洋書 Paperback, Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market

ショップ Glomarket

価格￥3,521

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Machine Learning in Finance From Theory to Practice【電子書籍】[ Matthew F. Dixon ]

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価格￥9,722

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＜p＞This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance.＜/p＞＜p＞＜em＞Machine Learning in Finance: From Theory to Practice＜/em＞ is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a...

Artificial Intelligence in Real Estate Investing: How Artificial Intelligence and Machine Learning Technology will Cause a Transformation in Real Estate Business, Marketing and Finance for Everyone【電子書籍】[ Bob Mather ]

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価格￥1,150

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＜p＞The #1 Book on Artificial Intelligence in Real Estate Investing＜/p＞＜p＞No matter which side of the real estate bubble you are on, you can clearly see the cut throat nature of the real estate industry. If you're renting or looking to buy a home, you see the rapid rise and fall in asset values; almost like gambling in a casino. It seems like a necessary evil if you have a family. At the same time, you see a lot of your friends and family default on loans; or even foreclose during the last recession.＜/p＞＜p＞As a real estate agent or home owner, you're constantly worried about new how new Government regulation will affect your property/business. You struggle to find good clients (if you're in a remote location) or to select good clients (if you're in a big city). You're also trying to reduce long term damage; while maintaining your property in an efficient manner. This book has been written as a guide to future solutions to your problems in real estate.＜/p＞＜p＞And Artif...

Machine Learning and Data Science Blueprints for Finance【電子書籍】[ Hariom Tatsat ]

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価格￥5,430

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＜p＞Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP).＜/p＞＜p＞Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You'll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples.＜/p＞＜p＞This book covers:＜/p＞＜ul＞＜li＞Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management＜/li＞＜l...

洋書 Paperback, Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance

ショップ Glomarket

価格￥11,545

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Implementing Machine Learning for Finance A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios【電子書籍】[ Tshepo Chris Nokeri ]

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価格￥6,685

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＜p＞Bring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures.＜/p＞＜p＞The book introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. ...

Machine Learning for Asset Managers (Elements in Quantitative Finance) [ペーパーバック] L?pez de Prado，Marcos M

ショップ参考書専門店ブックスドリーム

価格￥4,390

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【30日間返品保証】商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。ご満足のいく取引となるよう精一杯対応させていただきます。※下記に商品説明およびコンディション詳細、出荷予定・配送方法・お届けまでの期間について記載しています。ご確認の上ご購入ください。【インボイス制度対応済み】当社ではインボイス制度に対応した適格請求書発行事業者番号（通称：T番号・登録番号）を印字した納品書（明細書）を商品に同梱してお送りしております。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。また、適格請求書発行事業者番号の入った領収書・請求書をご注文履歴からダウンロードして頂くこともできます（宛名はご希望のものを入力して頂けます）。■商品名■Machine Learning for Asset Managers (Elements in Quantitative Finance) [ペーパーバック] L?pez de Prado， Marcos M■出版社■Cambridge University Press■著者■■発行年■■ISBN10■1108792898■ISBN13■9781108792899■コンディションランク■良いコンディションランク説明ほぼ新品：未使用に近い状態の商品非常に良い：傷...

Introduction To Machine Learning In Quantitative Finance, An【電子書籍】[ Hao Ni ]

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価格￥4,313

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＜p＞In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!＜/p＞画面が...

Detecting Regime Change in Computational Finance Data Science, Machine Learning and Algorithmic Trading【電子書籍】[ Jun Chen ]

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価格￥7,901

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＜p＞Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, ＜em＞＜strong＞Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading＜/strong＞＜/em＞ applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics:＜/p＞＜ul＞＜li＞＜/li＞＜li＞Data science: as an alternative to time series, price movements in a market can be summarised as directional changes＜/li＞＜li＞＜/li＞＜li＞＜/li...

【中古】【輸入品・未使用】Machine Learning in Finance: From Theory to Practice

ショップムジカ＆フェリーチェ楽天市場店

価格￥36,851

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【中古】【輸入品・未使用】Machine Learning in Finance: From Theory to Practice【メーカー名】Springer【メーカー型番】9783030000000【ブランド名】Springer【商品説明】Machine Learning in Finance: From Theory to Practice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す。営業時間　月〜金　10:00〜17:00お客様都合によるご注文後のキャンセル...

洋書 Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market

ショップ Glomarket

価格￥4,648

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more【電子書籍】[ Dr. Param Jeet ]

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価格￥4,993

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＜p＞＜strong＞Implement machine learning, time-series analysis, algorithmic trading and more＜/strong＞＜/p＞＜h2＞About This Book＜/h2＞＜ul＞＜li＞Understand the basics of R and how they can be applied in various Quantitative Finance scenarios＜/li＞＜li＞Learn various algorithmic trading techniques and ways to optimize them using the tools available in R.＜/li＞＜li＞Contain different methods to manage risk and explore trading using Machine Learning.＜/li＞＜/ul＞＜h2＞Who This Book Is For＜/h2＞＜p＞If you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required.＜/p＞＜h2＞What You Will Learn＜/h2＞＜ul＞＜li＞Get to know the basics of R and how to use it in the field of Quantitative Finance＜/li＞＜li＞Understa...

The Essentials of Machine Learning in Finance and Accounting【電子書籍】

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価格￥6,542

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＜p＞This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data.＜/p＞＜p＞Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.＜/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。

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

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価格￥5,430

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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...

Machine Learning Applications Using Python Cases Studies from Healthcare, Retail, and Finance【電子書籍】[ Puneet Mathur ]

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価格￥9,116

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＜p＞Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented.＜/p＞＜p＞＜em＞Machine Learning Applications Using Python＜/em＞ is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning.＜/p＞＜p＞＜s...

Machine Learning and AI in Finance【電子書籍】

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価格￥7,343

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＜p＞The significant amount of information available in any field requires a systematic and analytical approach to select the most critical information and anticipate major events. During the last decade, the world has witnessed a rapid expansion of applications of artificial intelligence (AI) and machine learning (ML) algorithms to an increasingly broad range of financial markets and problems. Machine learning and AI algorithms facilitate this process understanding, modelling and forecasting the behaviour of the most relevant financial variables.＜/p＞＜p＞The main contribution of this book is the presentation of new theoretical and applied AI perspectives to find solutions to unsolved finance questions. This volume proposes an optimal model for the volatility smile, for modelling high-frequency liquidity demand and supply and for the simulation of market microstructure features. Other new AI developments explored in this book includes building a universal model for a large number...

Machine Learning for Finance Principles and practice for financial insiders【電子書籍】[ Jannes Klaas ]

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価格￥3,290

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＜p＞＜strong＞A guide to advances in machine learning for financial professionals, with working Python code＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore advances in machine learning and how to put them to work in financial industries＜/li＞＜li＞Clear explanation and expert discussion of how machine learning works, with an emphasis on financial applications＜/li＞＜li＞Deep coverage of advanced machine learning approaches including neural networks, GANs, and reinforcement learning＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending. It explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.＜/p＞＜p＞The book is based on Jannes Klaas' experience of running machine learning training cours...

Machine Learning for Economics and Finance in TensorFlow 2 Deep Learning Models for Research and Industry【電子書籍】[ Isaiah Hull ]

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価格￥7,291

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＜p＞Machine learning has taken time to move into the space of academic economics. This is because empirical research in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is oriented towards prediction and is generally uninterested in either causality or parsimony. That leaves a gap for students, academics, and professionals who lack a standard reference on machine learning for economics and finance.＜/p＞＜p＞This book focuses on economic and financial problems with an empirical dimension, where machine learning methods may offer something of value. This includes coverage of a variety of discriminative deep learning models (DNNs, CNNs, LSTMs, and DQNs), generative machine learning models (GANs and VAEs), and tree-based models. It also covers the intersection of empirical methods in economics and machine learning, including regression analysis, natural language processing, and dimensionality reductio...

Machine Learning for Finance: Beginner's guide to explore machine learning in banking and finance (English Edition)【電子書籍】[ Saurav Singla ]

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価格￥1,100

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＜p＞＜strong＞Understand the essentials of Machine Learning and its impact in financial sector＜/strong＞＜/p＞＜p＞＜strong＞KEY FEATURES＜/strong＞＜/p＞＜ul＞＜li＞Explore the spectrum of machine learning and its usage.＜/li＞＜li＞Understand the NLP and Computer Vision and their use cases.＜/li＞＜li＞Understand the Neural Network, CNN, RNN and their applications.＜/li＞＜li＞Understand the Reinforcement Learning and their applications.＜/li＞＜li＞Learn the rising application of Machine Learning in the Finance sector.＜/li＞＜li＞Exposure to data mining, data visualization and data analytics.＜/li＞＜/ul＞＜p＞＜strong＞DESCRIPTION＜/strong＞＜/p＞＜p＞The fields of machining adapting, profound learning, and computerized reasoning are quickly extending and are probably going to keep on doing as such for a long time to come. There are many main impetuses for this, as quickly caught in this review. Now and again, the advancement has been emotional, opening new ways to...