statistics machine learning

statistics machine learningの商品一覧です。「洋書 Machine Learning for Developers: Uplift your regular applications with the power of statistics, analytics, and machine learning」(￥10,701)や「Algorithmic Advances in Riemannian Geometry and Applications For Machine Learning, Computer Vision, Statistics, and Optimization【電子書籍】」(￥17,016)、「Intelligent Computing for Interactive System Design Statistics, Digital Signal Processing and Machine Learning in Practice【電子書籍】」(￥7,371)など

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statistics machine learning

洋書 Machine Learning for Developers: Uplift your regular applications with the power of statistics, analytics, and machine learning

Algorithmic Advances in Riemannian Geometry and Applications For Machine Learning, Computer Vision, Statistics, and Optimization【電子書籍】

Intelligent Computing for Interactive System Design Statistics, Digital Signal Processing and Machine Learning in Practice【電子書籍】

【中古】【輸入品未使用】Pattern Recognition and Machine Learning (Information Science and Statistics)

Data Forecasting and Segmentation Using Microsoft Excel Perform data grouping, linear predictions, and time series machine learning statistics without using code【電子書籍】 Fernando Roque

The Statistics and Machine Learning with R Workshop Unlock the power of efficient data science modeling with this hands-on guide【電子書籍】 Liu Peng

洋書 The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)

Algorithmic Trading Methods Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques【電子書籍】 Robert Kissell

Multiblock Data Fusion in Statistics and Machine Learning Applications in the Natural and Life Sciences【電子書籍】 Age K. Smilde

Statistics and Machine Learning Methods for EHR Data From Data Extraction to Data Analytics【電子書籍】

Statistics for Machine Learning Implement Statistical methods used in Machine Learning using Python (English Edition)【電子書籍】 Himanshu Singh

Python for Probability, Statistics, and Machine Learning【電子書籍】 Jos Unpingco

Pattern Recognition and Machine Learning PATTERN RECOGNITION MACHINE （Information Science and Statistics） Christopher M. Bishop

Foundations of Programming, Statistics, and Machine Learning for Business Analytics【電子書籍】 Ram Gopal

Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning【電子書籍】 Alex J. Gutman

洋書 Paperback, Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques

Statistics for Machine Learning Build Machine Learning models with a sound statistical understanding.【電子書籍】 Pratap Dangeti

Python for Probability, Statistics, and Machine Learning【電子書籍】 Jos Unpingco

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

Statistics with Julia Fundamentals for Data Science, Machine Learning and Artificial Intelligence【電子書籍】 Yoni Nazarathy

洋書 Machine Learning for Developers: Uplift your regular applications with the power of statistics, analytics, and machine learning

ショップ Glomarket

価格￥10,701

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商品の説明

*** 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...

Algorithmic Advances in Riemannian Geometry and Applications For Machine Learning, Computer Vision, Statistics, and Optimization【電子書籍】

ショップ楽天Kobo電子書籍ストア

価格￥17,016

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＜p＞This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using the mathematical machinery of Riemannian geometry. As demonstrated by all the chapters in the book, when the data is intrinsically non-Euclidean, the utilization of this geometrical information can lead to better algorithms that can capture more accurately the structures inherent in the data, leading ultimately to better empirical performance. This book is not intended to be an encyclopedic compilation of the applications of Riemannian geometry. Instead, it focuses on several important research directions that are currently actively pursued by researchers in the field. These include statistical modeling and analysis on manifolds,optimization on manifolds, Riemannian manifolds and ker...

Intelligent Computing for Interactive System Design Statistics, Digital Signal Processing and Machine Learning in Practice【電子書籍】

ショップ楽天Kobo電子書籍ストア

価格￥7,371

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＜p＞＜em＞＜strong＞Intelligent Computing for Interactive System Design provides a comprehensive resource on what has become the dominant paradigm in designing novel interaction methods, involving gestures, speech, text, touch and brain-controlled interaction, embedded in innovative and emerging human-computer interfaces.＜/strong＞＜/em＞ These interfaces support ubiquitous interaction with applications and services running on smartphones, wearables, in-vehicle systems, virtual and augmented reality, robotic systems, the Internet of Things (IoT), and many other domains that are now highly competitive, both in commercial and in research contexts.＜/p＞＜p＞This book presents the crucial theoretical foundations needed by any student, researcher, or practitioner working on novel interface design, with chapters on statistical methods, digital signal processing (DSP), and machine learning (ML). These foundations are followed by chapters that discuss case studies on smart cities, brain...

【中古】【輸入品・未使用】Pattern Recognition and Machine Learning (Information Science and Statistics)

ショップムジカ＆フェリーチェ楽天市場店

価格￥31,791

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【中古】【輸入品・未使用】Pattern Recognition and Machine Learning (Information Science and Statistics)【メーカー名】Springer【メーカー型番】【ブランド名】Springer【商品説明】Pattern Recognition and Machine Learning (Information Science and Statistics)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...

Data Forecasting and Segmentation Using Microsoft Excel Perform data grouping, linear predictions, and time series machine learning statistics without using code【電子書籍】[ Fernando Roque ]

ショップ楽天Kobo電子書籍ストア

価格￥4,312

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＜p＞Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learning Key Features ? Segment data, regression predictions, and time series forecasts without writing any code ? Group multiple variables with K-means using Excel plugin without programming ? Build, validate, and predict with a multiple linear regression model and time series forecasts Book Description Data Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection. You'll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you'll be a...

The Statistics and Machine Learning with R Workshop Unlock the power of efficient data science modeling with this hands-on guide【電子書籍】[ Liu Peng ]

ショップ楽天Kobo電子書籍ストア

価格￥4,304

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＜p＞＜b＞Learn the fundamentals of statistics and machine learning using R libraries for data processing, visualization, model training, and statistical inference＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Advance your ML career with the help of detailed explanations, intuitive illustrations, and code examples＜/li＞＜li＞Gain practical insights into the real-world applications of statistics and machine learning＜/li＞＜li＞Explore the technicalities of statistics and machine learning for effective data presentation＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞The Statistics and Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. The learning experience is further enhanced by practical examples and hands-on exercises that provide explanations of key concepts. Starting with the fundamentals, you’ll e...

洋書 The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)

ショップ Glomarket

価格￥22,080

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商品の説明

*** 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...

Algorithmic Trading Methods Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques【電子書籍】[ Robert Kissell ]

ショップ楽天Kobo電子書籍ストア

価格￥9,882

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＜p＞＜em＞Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition＜/em＞, is a sequel to ＜em＞The Science of Algorithmic Trading and Portfolio Management＜/em＞. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides reader...

Multiblock Data Fusion in Statistics and Machine Learning Applications in the Natural and Life Sciences【電子書籍】[ Age K. Smilde ]

ショップ楽天Kobo電子書籍ストア

価格￥20,001

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＜p＞＜strong＞Multiblock Data Fusion in Statistics and Machine Learning＜/strong＞＜/p＞＜p＞＜strong＞Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide＜/strong＞＜/p＞＜p＞Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist.＜/p＞＜p＞＜em＞Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences＜/em＞ is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems.＜/p＞＜p＞Many of the included methods are illustrated by pra...

Statistics and Machine Learning Methods for EHR Data From Data Extraction to Data Analytics【電子書籍】

ショップ楽天Kobo電子書籍ストア

価格￥8,278

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＜p＞The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research. However, analysis of this type of data has many unique complications due to how they are collected, processed and types of questions that can be answered. This book covers many important topics related to using EHR/EMR data for research including data extraction, cleaning, processing, analysis, inference, and predictions based on many years of practical experience of the authors. The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data.＜/p＞＜p＞Key Features:＜/p＞＜ul＞＜li＞＜/li＞＜li＞Written based on hands-on experience of contributors from multidisciplinary EHR research projects, which include methods and approaches from statistics, computing, in...

Statistics for Machine Learning Implement Statistical methods used in Machine Learning using Python (English Edition)【電子書籍】[ Himanshu Singh ]

ショップ楽天Kobo電子書籍ストア

価格￥1,597

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商品の説明

＜p＞This book talks about Statistical concepts in detail, with its applications in Python. The book starts with an introduction to Statistics and moves on to cover some basic Descriptive Statistics concepts such as mean, median, mode, etc. You will then explore the concept of Probability and look at different types of Probability Distributions. Next, you will look at parameter estimations for the unknown parameters present in the population and look at Random Variables in detail, which are used to save the results of an experiment in Statistics. You will then explore one of the most important fields in Statistics - Hypothesis Testing, and then explore various types of tests used to check our hypothesis. The last part of our book will focus on how you can process data using Python, some elements of Non-parametric statistics, and finally, some introduction to Machine Learning.＜/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...

Python for Probability, Statistics, and Machine Learning【電子書籍】[ Jos? Unpingco ]

ショップ楽天Kobo電子書籍ストア

価格￥7,900

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＜p＞Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses. To clearly connect theoretical concepts to practical implementations, the author provides many worked-out examples along with "Programming Tips" that encourage the reader to write quality Python code. The entire text, including all the figures and numerical results, is reproducible using the Python codes provided, thus enabling readers to follow along by experimenting with the same code on their own computers.＜/p＞＜p＞Modern Python modules like Pandas, Sympy, Scikit-learn, Statsmodels, Scipy, Xarray, Tensorflow, and Keras are used to implement and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, inter...

Pattern Recognition and Machine Learning PATTERN RECOGNITION & MACHINE （Information Science and Statistics） [ Christopher M. Bishop ]

ショップ楽天ブックス

価格￥27,280

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PATTERN RECOGNITION & MACHINE Information Science and Statistics Christopher M. Bishop SPRINGER NATURE2006 Hardcover 2006. Corr. 2nd English ISBN：9780387310732 洋書 Computers & Science（コンピューター＆科学） Computers

Foundations of Programming, Statistics, and Machine Learning for Business Analytics【電子書籍】[ Ram Gopal ]

ショップ楽天Kobo電子書籍ストア

価格￥6,923

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＜p＞Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage.＜/p＞＜p＞This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics.＜/p＞＜p＞Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice.＜/p＞＜p＞Key features:＜/p＞＜p＞・ Introduces programming fundamentals using R and Python＜/p＞＜p＞・ Covers data structures, data management and manipulation and data visualization＜/p＞＜p＞・ Includes interactive coding notebooks so that you can build up your programming skills progressively＜/p＞＜p＞Suitable as an essential ...

Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning【電子書籍】[ Alex J. Gutman ]

ショップ楽天Kobo電子書籍ストア

価格￥3,535

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＜p＞＜strong＞"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."＜/strong＞＜br /＞ Thomas H. Davenport, Research Fellow, Author of ＜em＞Competing on Analytics＜/em＞, ＜em＞Big Data @ Work＜/em＞, and ＜em＞The AI Advantage＜/em＞＜/p＞＜p＞＜strong＞You've heard the hype around dataーnow get the facts.＜/strong＞＜/p＞＜p＞In ＜em＞Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning＜/em＞, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it.＜/p＞＜p＞You'll learn how to:＜/p＞＜ul＞＜li＞Think statistically and understand the role variation plays in your life and decision making＜/li＞＜li＞Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace＜/li＞＜li＞Understand...

洋書 Paperback, Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques

ショップ Glomarket

価格￥14,872

商品の詳細ページへ(楽天市場)

商品の説明

*** 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...

Statistics for Machine Learning Build Machine Learning models with a sound statistical understanding.【電子書籍】[ Pratap Dangeti ]

ショップ楽天Kobo電子書籍ストア

価格￥4,993

商品の詳細ページへ(楽天市場)

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＜p＞＜strong＞Build Machine Learning models with a sound statistical understanding.＜/strong＞＜/p＞＜h2＞About This Book＜/h2＞＜ul＞＜li＞Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.＜/li＞＜li＞Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.＜/li＞＜li＞Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python.＜/li＞＜/ul＞＜h2＞Who This Book Is For＜/h2＞＜p＞This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful.＜/p＞＜h2＞What You Will Learn＜/h2＞＜ul＞＜li＞Understand the Statistical and Machine Learning fundamentals necessary to build models＜/li＞＜li＞Understand the major differences and parallels between the statistical way and the Machine Lear...

Python for Probability, Statistics, and Machine Learning【電子書籍】[ Jos? Unpingco ]

ショップ楽天Kobo電子書籍ストア

価格￥14,585

商品の詳細ページへ(楽天市場)

商品の説明

＜p＞This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. Detailed proofs for certain important results are also provided. Modern Python modules like Pandas, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples.＜/p＞＜p＞This updated edition now includes the Fisher Exact Test and the Mann-Whitney-Wilcoxon Tes...

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

ショップ楽天Kobo電子書籍ストア

価格￥5,430

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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...

Statistics with Julia Fundamentals for Data Science, Machine Learning and Artificial Intelligence【電子書籍】[ Yoni Nazarathy ]

ショップ楽天Kobo電子書籍ストア

価格￥21,878

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＜p＞This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics.＜/p＞＜p＞The book progresses through ten independent chapters starting with an introduction of Julia, and moving through basic probability, distributions, statistical inference, regression analysis, machine learning methods, and the use of Monte Carlo simulation for dynamic stochastic models. Ultimately this text introduces the Julia programming language as a computational tool, uniquely addressing end-users rather than...

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