15 Math Concepts Every Data Scientist Should Know : Understand and learn how to apply the math behind data science algorithms / David HOYLE / PACKT PUBLISHING (2024)  

Titre : 15 Math Concepts Every Data Scientist Should Know : Understand and learn how to apply the math behind data science algorithms Type de document : e-book Auteurs : David HOYLE Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781837634187 Note générale : copyrighted Langues : Anglais (eng) Résumé : Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithmsKey FeaturesUnderstand key data science algorithms with Python-based examplesIncrease the impact of your data science solutions by learning how to apply existing algorithmsTake your data science solutions to the next level by learning how to create new algorithmsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionData science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this book, drawing from his work in building predictive models for the world's largest retailers. Encompassing 15 crucial concepts, this book covers a spectrum of mathematical techniques to help you understand a vast range of data science algorithms and applications. Starting with essential foundational concepts, such as random variables and probability distributions, you’ll learn why data varies, and explore matrices and linear algebra to transform that data. Building upon this foundation, the book spans general intermediate concepts, such as model complexity and network analysis, as well as advanced concepts such as kernel-based learning and information theory. Each concept is illustrated with Python code snippets demonstrating their practical application to solve problems. By the end of the book, you’ll have the confidence to apply key mathematical concepts to your data science challenges.What you will learnMaster foundational concepts that underpin all data science applicationsUse advanced techniques to elevate your data science proficiencyApply data science concepts to solve real-world data science challengesImplement the NumPy, SciPy, and scikit-learn concepts in PythonBuild predictive machine learning models with mathematical conceptsGain expertise in Bayesian non-parametric methods for advanced probabilistic modelingAcquire mathematical skills tailored for time-series and network data typesWho this book is forThis book is for data scientists, machine learning engineers, and data analysts who already use data science tools and libraries but want to learn more about the underlying math. Whether you’re looking to build upon the math you already know, or need insights into when and how to adopt tools and libraries to your data science problem, this book is for you. Organized into essential, general, and selected concepts, this book is for both practitioners just starting out on their data science journey and experienced data scientists. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88958316 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=588695

3D Character Rigging in Blender : Bring your characters to life through rigging and make them animation-ready / Jaime KELLY / PACKT PUBLISHING (2024)  

Titre : 3D Character Rigging in Blender : Bring your characters to life through rigging and make them animation-ready Type de document : e-book Auteurs : Jaime KELLY Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781803238807 Note générale : copyrighted Langues : Anglais (eng) Résumé : Leverage expert advice, step-by-step guidance, and comprehensive visual aids to pave your way towards excellence in the art of 3D character riggingKey FeaturesLearn how to use automatic and manual weight painting to merge skin and boneEnhance any rig with a sweeping host of automatic controls and aids for animationKeep your rigs efficient and clean for an optimal end user experiencePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the intricate world of 3D character rigging with Blender, aspiring artists often find themselves grappling with the daunting challenge of achieving results akin to seasoned professionals. This book is your guide to overcoming that very challenge, providing you with the necessary knowledge and skills to excel in this complex art form. As you embark on this creative journey, this book will guide you through a carefully crafted flow. Beginning with the basics, the first part of the book will teach you how to add structure to an empty canvas and master the art of weight painting in Blender. You'll delve into the intricacies of rigging humanoid characters, gain a deep understanding of the essential buttons and techniques, and discover invaluable success-boosting tips. Starting with simple mesh deformation using a single bone, you'll progress steadily toward the mastery of fully rigging a human character, all while comprehending the reasons behind each step in the process. Furthermore, the book leaves you with a selection of advanced techniques, fully explained, paving the way for a natural progression in your artistic journey and allowing you to continuously refine and enhance your skills. By the end of the book, you'll excel at crafting character rigs, seamlessly meeting professional pipeline demands in diverse teams and studios.What you will learnUnderstand the basic terminology of rigging and learn how to create and modify rigsFind out how bones interact with topologyGet to grips with weight painting through the meshKnow when and how to add constraints such as Inversion Kinetics, Point To, and Child OfMake rigs visually appealing with advanced techniques such as shape keys and bone driversFamiliarize yourself with advanced techniques used by industry leadersWho this book is forIf you are an animator, modeler, or someone who wants to start rigging with a solid foundation, then this book is for you. You’ll need no prior knowledge of Blender to get started with this book, as we’ll go step by step with shortcuts and UI pointers provided. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88954496 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=584620

Accelerate Model Training with PyTorch 2.X : Build more accurate models by boosting the model training process / Maicon Melo ALVES / PACKT PUBLISHING (2024)  

Titre : Accelerate Model Training with PyTorch 2.X : Build more accurate models by boosting the model training process Type de document : e-book Auteurs : Maicon Melo ALVES Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781805120100 Note générale : copyrighted Langues : Anglais (eng) Résumé : Dramatically accelerate the building process of complex models using PyTorch to extract the best performance from any computing environmentKey FeaturesReduce the model-building time by applying optimization techniques and approachesHarness the computing power of multiple devices and machines to boost the training processFocus on model quality by quickly evaluating different model configurationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book, written by an HPC expert with over 25 years of experience, guides you through enhancing model training performance using PyTorch. Here you’ll learn how model complexity impacts training time and discover performance tuning levels to expedite the process, as well as utilize PyTorch features, specialized libraries, and efficient data pipelines to optimize training on CPUs and accelerators. You’ll also reduce model complexity, adopt mixed precision, and harness the power of multicore systems and multi-GPU environments for distributed training. By the end, you'll be equipped with techniques and strategies to speed up training and focus on building stunning models.What you will learnCompile the model to train it fasterUse specialized libraries to optimize the training on the CPUBuild a data pipeline to boost GPU executionSimplify the model through pruning and compression techniquesAdopt automatic mixed precision without penalizing the model's accuracyDistribute the training step across multiple machines and devicesWho this book is forThis book is for intermediate-level data scientists who want to learn how to leverage PyTorch to speed up the training process of their machine learning models by employing a set of optimization strategies and techniques. To make the most of this book, familiarity with basic concepts of machine learning, PyTorch, and Python is essential. However, there is no obligation to have a prior understanding of distributed computing, accelerators, or multicore processors. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88957585 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=585508

Accelerating IoT Development with ChatGPT : A practical guide to building your first IoT project using AI-assisted coding and cloud integration / Jun WEN / PACKT PUBLISHING (2024)  

Titre : Accelerating IoT Development with ChatGPT : A practical guide to building your first IoT project using AI-assisted coding and cloud integration Type de document : e-book Auteurs : Jun WEN Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781835461624 Note générale : copyrighted Langues : Anglais (eng) Résumé : Build cutting-edge projects with ChatGPT, PlatformIO, ESP32, and Arduino-compatible sensors by integrating AWS Cloud and the ThingsBoard dashboardKey FeaturesLeverage ChatGPT to generate code on ESP32 for sending sensor data to AWS CloudCreate your own visualization dashboard on ThingsBoard CloudFollow step-by-step configuration guidance to ingest, process, store, and query data on AWS CloudPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnlike other IoT books that focus on theory and generic applications, this guide takes a practical approach, empowering you to leverage ChatGPT to build your very first IoT prototype. With over 20 years of experience in wireless and IoT technologies and a background as an instructor, Jun Wen expertly guides you from project kick-off to a fully functional prototype. The book emphasizes the transformative impact of ChatGPT for IoT, teaching you how to use ChatGPT to generate code for your applications, even with limited coding experience. You’ll be introduced to using PlatformIO IDE within Visual Studio Code and discover the cutting-edge RISC-V architecture, the ESP32 MCU, Arduino-compatible sensors, and integration methods for AWS and the ThingsBoard dashboard. Working through 10 different project examples, including flame detection, smoke detection, and air quality measurement, you’ll become proficient in the functions and specifications of each sensor and the use cases they solve. By the end of this book, you’ll be ready to undertake IoT development projects, bridging the gap between your ideas and functional creations.What you will learnMaster IoT essentials, such as networks, end devices, wireless connectivity, and the cloudExplore the ChatGPT prompting framework and build crucial skills for IoT projectsDiscover best practices for building robust IoT hardware prototypesFind out how to set up Visual Studio Code and PlatformIO IDEConnect ESP32 to AWS through TLS and MQTTExplore popular connectivity technologies widely adopted in IoTIntegrate IoT sensors with ESP32 to capture accurate data using ChatGPT's assistanceWho this book is forIf you’re a beginner interested in applying IoT technology to your projects but face challenges due to limited experience in embedded software coding, specifically in C and C++, this book is for you. Whether you’re a student, hardware hobbyist, DIY enthusiast, IoT developer, or professional from a non-technical background, if you feel that your ability to innovate is often stalled by the complexity of software coding, this easy-to-follow guide to using ChatGPT for generating example code will boost your IoT prototype development. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88958318 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=588697

Active Machine Learning with Python : Refine and elevate data quality over quantity with active learning / Margaux MASSON-FORSYTHE / PACKT PUBLISHING (2024)  

Titre : Active Machine Learning with Python : Refine and elevate data quality over quantity with active learning Type de document : e-book Auteurs : Margaux MASSON-FORSYTHE Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781835464946 Note générale : copyrighted Langues : Anglais (eng) Résumé : Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt to evolving data trends, fostering innovation and progress across diverse fieldsKey FeaturesLearn how to implement a pipeline for optimal model creation from large datasets and at lower costsGain profound insights within your data while achieving greater efficiency and speedApply your knowledge to real-world use cases and solve complex ML problemsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionBuilding accurate machine learning models requires quality data—lots of it. However, for most teams, assembling massive datasets is time-consuming, expensive, or downright impossible. Led by Margaux Masson-Forsythe, a seasoned ML engineer and advocate for surgical data science and climate AI advancements, this hands-on guide to active machine learning demonstrates how to train robust models with just a fraction of the data using Python's powerful active learning tools. You’ll master the fundamental techniques of active learning, such as membership query synthesis, stream-based sampling, and pool-based sampling and gain insights for designing and implementing active learning algorithms with query strategy and Human-in-the-Loop frameworks. Exploring various active machine learning techniques, you’ll learn how to enhance the performance of computer vision models like image classification, object detection, and semantic segmentation and delve into a machine AL method for selecting the most informative frames for labeling large videos, addressing duplicated data. You’ll also assess the effectiveness and efficiency of active machine learning systems through performance evaluation. By the end of the book, you’ll be able to enhance your active learning projects by leveraging Python libraries, frameworks, and commonly used tools.What you will learnMaster the fundamentals of active machine learningUnderstand query strategies for optimal model training with minimal dataTackle class imbalance, concept drift, and other data challengesEvaluate and analyze active learning model performanceIntegrate active learning libraries into workflows effectivelyOptimize workflows for human labelersExplore the finest active learning tools available todayWho this book is forIdeal for data scientists and ML engineers aiming to maximize model performance while minimizing costly data labeling, this book is your guide to optimizing ML workflows and prioritizing quality over quantity. Whether you’re a technical practitioner or team lead, you’ll benefit from the proven methods presented in this book to slash data requirements and iterate faster. Basic Python proficiency and familiarity with machine learning concepts such as datasets and convolutional neural networks is all you need to get started. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88954033 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=584260

Adobe InDesign Masterclass : A comprehensive guide to taking your digital design skills from beginner to professional / Mohammed JOGIE / PACKT PUBLISHING (2024)  

Permalink

Adversarial AI Attacks, Mitigations, and Defense Strategies : A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps / John SOTIROPOULOS / PACKT PUBLISHING (2024)  

Permalink

AI-Assisted Programming for Web and Machine Learning : Improve your development workflow with ChatGPT and GitHub Copilot / Christoffer NORING / PACKT PUBLISHING (2024)  

Permalink

AI Explained : Uncovering the Reality, Risks, and Rewards of Artificial Intelligence / Nigel POULTON / PACKT PUBLISHING (2024)  

Permalink

AI for Absolute Beginners: A Clear Guide to Tomorrow : Demystifying AI for Beginners and Paving the Path to Future Innovations / Oliver THEOBALD / PACKT PUBLISHING (2024)  

Permalink

AI Strategies for Web Development : Build next-gen, intelligent websites by unleashing AI's power in design, personalization, and ethics / Anderson Soares Furtado OLIVEIRA / PACKT PUBLISHING (2024)  

Permalink

Algorithms and Data Structures with Python : A comprehensive guide to data structures & algorithms via an interactive learning experience / Cuantum Technologies LLC / PACKT PUBLISHING (2024)  

Permalink

Amazon DynamoDB - The Definitive Guide : Explore enterprise-ready, serverless NoSQL with predictable, scalable performance / Aman DHINGRA / PACKT PUBLISHING (2024)  

Permalink

An iOS Developer's Guide to SwiftUI : Design and build beautiful apps quickly and easily with minimum code / Michele FADDA / PACKT PUBLISHING (2024)  

Permalink

Angular Design Patterns and Best Practices : Create scalable and adaptable applications that grow to meet evolving user needs / Alvaro Camillo NETO / PACKT PUBLISHING (2024)  

Permalink