data science with julia

Programming Entity Framework: DbContext Querying, Changing, and Validating Your Data with Entity Framework【電子書籍】 Julia LermanUltimate Parallel and Distributed Computing with Julia For Data Science【電子書籍】 Nabanita Dash【中古】【輸入品 未使用】Data Science with JuliaData Science with Julia【電子書籍】 Paul D. McNicholasStatistics with Julia Fundamentals for Data Science, Machine Learning and Artificial Intelligence【電子書籍】 Yoni NazarathyUltimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition)【電子書籍】 Nabanita DashProgramming Entity Framework Building Data Centric Apps with the ADO.NET Entity Framework【電子書籍】 Julia LermanMastering Julia Enhance your analytical and programming skills for data modeling and processing with Julia【電子書籍】 Malcolm SherringtonInteractive Visualization and Plotting with Julia Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more【電子書籍】 Diego Javier ZeaUltimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition)【電子書籍】 Nabanita Dash
 

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  • <p>The DbContext API captures Entity Framework’s (EF) most commonly used features and tasks, simplifying development with EF. This concise book shows you how to use the API to perform set operations with the DbSet class, handle change tracking and resolve concurrency conflicts with the Change Tracker API, and validate changes to your data with the Validation API.</p> <p>With DbContext, you’ll be able to query and update data, whether you’re working with individual objects or graphs of objects and their related data. You’ll find numerous C# code samples to help you get started. All you need is experience with Visual Studio and database management basics.</p> <ul> <li>Use EF’s query capabilities to retrieve data, and use LINQ to sort and filter data</li> <li>Learn how to add new data, and change and delete existing data</li> <li>Use the Change Tracker API to access information EF keeps about the state of entity instances</li> <li>Control change tracking informa...
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  • <p><strong>Unleash Julia's power: Code Your Data Stories, Shape Machine Intelligence!</strong></p> <p><strong>Book Description</strong></p> <p>This book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.</p> <p>Th...
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    商品の説明

  • 【中古】【輸入品・未使用】Data Science with Julia【メーカー名】Chapman and Hall/CRC【メーカー型番】【ブランド名】CRC Press【商品説明】Data Science with Julia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・返品はお受けしておりませんのでご了承下さい。
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  • <p>"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Universit? C?te d’Azur, Nice, France</p> <p>Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, <em>Data Science with Julia</em> will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work.</p> <p>Features:</p> <ul> <li></li> <li>Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data.</li> <li></li> ...
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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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    商品の説明

  • <p><strong>Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence!</strong></p> <p><strong>Book Description</strong><br /> This book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.</p> <p>The h...
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  • <p>Get a thorough introduction to ADO.NET Entity Framework 4 -- Microsoft's core framework for modeling and interacting with data in .NET applications. The second edition of this acclaimed guide provides a hands-on tour of the framework latest version in Visual Studio 2010 and .NET Framework 4. Not only will you learn how to use EF4 in a variety of applications, you'll also gain a deep understanding of its architecture and APIs.</p> <p>Written by Julia Lerman, the leading independent authority on the framework, <em>Programming Entity Framework</em> covers it all -- from the Entity Data Model and Object Services to WCF Services, MVC Apps, and unit testing. This book highlights important changes for experienced developers familiar with the earlier version.</p> <ul> <li>Understand the core concepts you need to make the best use of the EF4 in your applications</li> <li>Learn to query your data, using either LINQ to Entities or Entity SQL</li> <li>Create Windows F...
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  • <p><b>A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios</b></p><h2>Key Features</h2><ul><li>Augment your basic computing skills with an in-depth introduction to Julia</li><li>Focus on topic-based approaches to scientific problems and visualisation</li><li>Build on prior knowledge of programming languages such as Python, R, or C/C++</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h2>Book Description</h2>Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second. This book is a primer on Julia’s approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing. Starting off with a ref...
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  • <p>Represent and analyze data using Plots to find actionable insights using Julia programming Key Features ? Learn to use static and interactive plots to explore data with Julia ? Become well versed with the various plotting attributes needed to customize your plots ? Create insightful and appealing plots using data interactions, animations, layouts, and themes Book Description The Julia programming language offers a fresh perspective into the data visualization field. Interactive Visualization and Plotting with Julia begins by introducing the Julia language and the Plots package. The book then gives a quick overview of the Julia plotting ecosystem to help you choose the best library for your task. In particular, you will discover the many ways to create interactive visualizations with its packages. You'll also leverage Pluto notebooks to gain interactivity and use them intensively through this book. You'll find out how to create animations, a handy skill for communication and tea...
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    商品の説明

  • <p>Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence!<br /> Book DescriptionThis book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.<br /> The handbook culminates in optimizing workflows with Julia's p...
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