Introduction to Design Thinking for UX Beginners / Uijun Park

Public ISBD Titre : Introduction to Design Thinking for UX Beginners : 5 Steps to Creating a Digital Experience That Engages Users with UX Design, UI Design, and User Research. Start Building Your UX Type de document : texte imprimé Auteurs : Uijun Park, Auteur Année de publication : 2023 Importance : 163 pages Présentation : illustrations Format : 21 cm ISBN/ISSN/EAN : 979-83-86967-47-5 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : Introduction to Design Thinking for UX Beginners Index. décimale : 005.1 Résumé : This book is a comprehensive guide to design thinking for UX beginners. It covers everything you need to know to get started in this exciting field, from the basics of design thinking to best practices for UX design, UI design, and user research. The book is packed with real-world examples and insights from experienced product designers, and it includes practical tips and exercises that will help you develop your skills. Whether you're a complete beginner or you have some experience with UX design, this book will give you the knowledge and skills you need to create engaging digital experiences. Introduction to Design Thinking for UX Beginners [texte imprimé] : 5 Steps to Creating a Digital Experience That Engages Users with UX Design, UI Design, and User Research. Start Building Your UX / Uijun Park, Auteur . - 2023 . - 163 pages : illustrations ; 21 cm. ISBN : 979-83-86967-47-5 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : Introduction to Design Thinking for UX Beginners Index. décimale : 005.1 Résumé : This book is a comprehensive guide to design thinking for UX beginners. It covers everything you need to know to get started in this exciting field, from the basics of design thinking to best practices for UX design, UI design, and user research. The book is packed with real-world examples and insights from experienced product designers, and it includes practical tips and exercises that will help you develop your skills. Whether you're a complete beginner or you have some experience with UX design, this book will give you the knowledge and skills you need to create engaging digital experiences.

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Machine learning with PyTorch and Scikit-Learn / Sebastian Raschka

Public ISBD Titre : Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python Type de document : texte imprimé Auteurs : Sebastian Raschka, Auteur; Yuxi Liu, Auteur; Vahid Mirjalili, Auteur Editeur : Birmingham : Packt Publishing Année de publication : 2022 Importance : xxix, 741 pages Présentation : illustrations, graphs, charts Format : 26 cm ISBN/ISSN/EAN : 978-1-8018-1931-2 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : Machine learning with PyTorch and Scikit-Learn Index. décimale : 005.133 Résumé : 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. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. Machine learning with PyTorch and Scikit-Learn [texte imprimé] : develop machine learning and deep learning models with Python / Sebastian Raschka, Auteur; Yuxi Liu, Auteur; Vahid Mirjalili, Auteur . - Birmingham : Packt Publishing, 2022 . - xxix, 741 pages : illustrations, graphs, charts ; 26 cm. ISBN : 978-1-8018-1931-2 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : Machine learning with PyTorch and Scikit-Learn Index. décimale : 005.133 Résumé : 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. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.

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Mediator 7 / Match Ware

Public ISBD Titre : Mediator 7 Type de document : texte imprimé Auteurs : Match Ware, Auteur Année de publication : 2002 Importance : 288 pages Présentation : illustrations Format : 25 cm Langues : Français (fre) Catégories : 005 Computer programming, programs, data Index. décimale : 005 Mediator 7 [texte imprimé] / Match Ware, Auteur . - 2002 . - 288 pages : illustrations ; 25 cm. Langues : Français (fre) Catégories : 005 Computer programming, programs, data Index. décimale : 005

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Practical statistics for data scientists / Peter C. Bruce

Public ISBD Titre : Practical statistics for data scientists : 50+ essential concepts using R and Python Type de document : texte imprimé Auteurs : Peter C. Bruce, Auteur Mention d'édition : Second edition Editeur : Sebastopol, CA : O'Reilly Media Année de publication : 2020 Importance : xvi, 342 pages Présentation : illustrations (graph) Format : 24 cm ISBN/ISSN/EAN : 978-1-492-07294-2 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : Practical statistics for data scientists Index. décimale : 005.13 Résumé : Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning Practical statistics for data scientists [texte imprimé] : 50+ essential concepts using R and Python / Peter C. Bruce, Auteur  . -  Second edition . - Sebastopol, CA : O'Reilly Media, 2020 . - xvi, 342 pages : illustrations (graph) ; 24 cm. ISBN : 978-1-492-07294-2 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : Practical statistics for data scientists Index. décimale : 005.13 Résumé : Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning

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T-SQL fundamentals / Itzik Ben-Gan

Public ISBD Titre : T-SQL fundamentals Type de document : texte imprimé Auteurs : Itzik Ben-Gan, Auteur Mention d'édition : Fourth Edition Editeur : Pearson Education, Inc Année de publication : 2023 Importance : xxiv, 569 pages Présentation : illustrations ISBN/ISSN/EAN : 978-0-13-810210-4 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : T-SQL fundamentals Index. décimale : 005.75 Résumé : Starting with the background to T-SQL querying and programming, including: logical query processing, book-querying constructs (single table queries, joins, subqueries, table expressions, set operators, data analysis), data modifications, temporal tables, transactions and concurrency, SQL Graph (completely new to this edition), as well as programmatic T-SQL constructs. The book includes extensive exercises and solutions with explanations, allowing the reader to practice what they've learned. This book is widely considered as the authoritative guide on T-SQL fundamentals. It focuses on understanding why things work the way they do, and not just how to make them work. When people understand the "why" the code they write tends to be more correct and more meaningful. This edition of the book includes coverage of the newest T-SQL additions up to and including SQL Server 2022 T-SQL fundamentals [texte imprimé] / Itzik Ben-Gan, Auteur  . -  Fourth Edition . - [S.l.] : Pearson Education, Inc, 2023 . - xxiv, 569 pages : illustrations. ISBN : 978-0-13-810210-4 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : T-SQL fundamentals Index. décimale : 005.75 Résumé : Starting with the background to T-SQL querying and programming, including: logical query processing, book-querying constructs (single table queries, joins, subqueries, table expressions, set operators, data analysis), data modifications, temporal tables, transactions and concurrency, SQL Graph (completely new to this edition), as well as programmatic T-SQL constructs. The book includes extensive exercises and solutions with explanations, allowing the reader to practice what they've learned. This book is widely considered as the authoritative guide on T-SQL fundamentals. It focuses on understanding why things work the way they do, and not just how to make them work. When people understand the "why" the code they write tends to be more correct and more meaningful. This edition of the book includes coverage of the newest T-SQL additions up to and including SQL Server 2022

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Version control with Subversion for Subversion 1.6 : the official guide and reference manual / Collins-Sussman, Ben

Public ISBD Titre : Version control with Subversion for Subversion 1.6 : the official guide and reference manual Type de document : texte imprimé Auteurs : Collins-Sussman, Ben, Auteur; Fitzpatrick, Brian W., Auteur; Pilato, C. Michael, Auteur Editeur : SoHo Books, [s.l.], cop. Année de publication : 1992 Importance : XXIII-374 p. Format : 26 cm ISBN/ISSN/EAN : 978-1-440-49587-8 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Index. décimale : 005.1 Version control with Subversion for Subversion 1.6 : the official guide and reference manual [texte imprimé] / Collins-Sussman, Ben, Auteur; Fitzpatrick, Brian W., Auteur; Pilato, C. Michael, Auteur . - [S.l.] : SoHo Books, [s.l.], cop., 1992 . - XXIII-374 p. ; 26 cm. ISBN : 978-1-440-49587-8 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Index. décimale : 005.1

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