Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models

Ali Madani, Stephen MacKinnon

Debugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts to advanced techniques. It goes beyond the basics to arm you with the expertise essential for building reliable, high-performance models for industrial applications. Whether you're a data scientist, analyst, machine learning engineer, or Python developer, this book will empower you to design modular systems for data preparation, accurately train and test models, and seamlessly integrate them into larger technologies.By bridging the gap between theory and practice, you'll learn how to evaluate model performance, identify and address issues, and harness recent advancements in deep learning and generative modeling using PyTorch and scikit-learn. Your journey to developing high quality models in practice will also encompass causal and human-in-the-loop modeling and machine learning explainability. With hands-on examples and clear explanations, you'll develop the skills to deliver impactful solutions across domains such as healthcare, finance, and e-commerce.

Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines

Alan Bernardo Palacio

Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you’ll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you’ll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you’ll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you’ll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt

Somanath Nanda, Weslley Moura

The AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS.Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them.By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.

Enterprise LMS with Adobe Learning Manager. Design and develop world-class learning experiences for your employees, partners, and customers

Damien Bruyndonckx, Sean Mullen

Looking to deliver scalable online learning solutions? Adobe's latest enterprise Learning Manager is a powerful learning management system (LMS) that enables organizations to deliver, manage, and track immersive learning experiences. This book unlocks the full potential of Learning Manager, guiding you to become an adept administrator, author, or teacher, experimenting with Learning Manager from different perspectives.You'll gain an in-depth understanding of the features and their impact on your business. From platform setup to course administration, you’ll be able to create blended learning experiences, deploy your content to different devices, and explore Learning Manager's features for monitoring your students' progress on a daily basis. Finally, you'll discover techniques for organizing and maintaining your course catalog while elevating the learner experience.By the end of the book, you’ll be able to implement your organization’s training strategy, deliver engaging learning experiences, and generate meaningful reports to monitor their effectiveness.

IPython Notebook Essentials. Compute scientific data and execute code interactively with NumPy and SciPy

Luiz Felipe Martins

CUPS Administrative Guide. A practical tutorial to installing, managing, and securing this powerful printing system

Ankur Shah

Get Set Procreate 5. A practical guide to illustrating on an iPad filled with tips, tricks, and best practices

Samadrita Ghosh

Procreate is robust, industry-grade painting software that is extremely versatile yet an affordable alternative to subscription-based applications. If you're new to Procreate, Get Set Procreate 5 will help you get up to speed with creating professional illustrations in no time.Complete with step-by-step instructions, detailed explanations, and practical application guidelines, this easy-to-follow guide will cover the ins and outs of Procreate 5.2 and show you how to use each feature effectively. You'll learn how to draw using assistive tools, apply effects, create animations, and develop amazing artwork by implementing the skills learned throughout the book. Once you've got to grips with the new features of Procreate 5 for creating beautiful illustrations, animations, and graphics, you'll be able to explore the tools at your disposal and even create your own brushes, shortcuts, and menus to work efficiently.By the end of this Procreate book, you'll be able to navigate the application confidently and take your artwork to a new level.

Mastering Data Analysis with R. Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization

Gergely Daróczi