R: Unleash Machine Learning Techniques. Smarter data analytics

Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali

R is the established language of data analysts and statisticians around the world. And you shouldn’t be afraid to use it…This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you’ll get to grips with the fundamentals of R. This means you’ll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems.For the following two modules we’ll begin to investigate machine learning algorithms in more detail. To build upon the basics, you’ll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they’re all focused on solving real problems in different areas, ranging from finance to social media.This Learning Path has been curated from three Packt products:• R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar• Machine Learning with R - Second Edition By Brett Lantz• Mastering Machine Learning with R By Cory Lesmeister

Low Poly 3D Modeling in Blender. Kickstart your career as a 3D artist by learning how to create low poly assets and scenes from scratch

Samuel Sullins

Step into the world of low poly 3D art with Low Poly 3D Modeling in Blender—your entry point into Blender and mastering the fundamentals of 3D art. This beginner-friendly guide ensures that you’re fully prepared for the creative adventure that follows.Through a step-by-step learning process starting with the principles of low poly art, this book gradually immerses you in the intricacies of modeling. As you progress, you’ll gain hands-on experience creating diverse projects ranging from designing a simple 3D crate to rendering complete low poly scenes. The book covers a wide spectrum of topics as you navigate Blender's interface, mastering essential modeling tools and exploring both basic and advanced modeling techniques. Advancing to the final chapters, you’ll find ways to breathe life into your models with material creation and gain practical insights into modeling a variety of low poly objects. From end-to-end scene construction to configuring Blender for rendering high-quality images, you’ll be equipped with the foundational skills to propel your career in 3D modeling and explore the boundless creative possibilities that Blender offers.By the end of this book, you'll have a solid understanding of Blender, 3D modeling, low poly methodologies, material design, 3D rendering techniques, and the broader world of 3D art.

Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition

Amita Kapoor, Antonio Gulli, Sujit Pal, François Chollet

Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments.This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.

SwiftUI Essentials - iOS Edition. Learn to Develop iOS Apps using SwiftUI, Swift 5 and Xcode 11

Neil Smyth

Beginning with the basics, this book provides an outline of the steps necessary to set up an iOS development environment and introduced you to Swift Playgrounds so that you can learn and experiment with Swift.You’ll begin with an introduction to the key concepts of SwiftUI and its architecture. You’ll learn how to create customer SwiftUI views and combine them to create user interface layouts including how to use stacks, frames, and forms. As you progress, you’ll learn how to handle data using state properties. You’ll also learn how to use graphics, animation, transitions, and gestures in your user interface. The book finishes by explaining how to package an application and upload it to the App Store for publication.By the end of the book, you’ll have all the necessary skills to develop your own applications for iOS 13 with SwiftUI, Swift 5, and Xcode 11.

Mastering Bootstrap 4. Learn how to build beautiful and highly customizable web interfaces by leveraging the power of Bootstrap 4

Jason Marah, Benjamin Jakobus

Bootstrap 4 is a free CSS and JavaScript framework that allows developers to rapidly build responsive web-interfaces. Right from the first chapter, dive into building a customized Bootstrap website from scratch. Get to grips with Bootstrap’s key features and quickly discover the various ways in which Bootstrap can help you develop web-interfaces. Then take walk through the fundamental features, such as its grid system, helper classes, and responsive utilities. When you have mastered these, you will discover how to structure page layouts, use forms, style different types of content and utilize Bootstrap’s various navigation components. Among other things, you will also tour the anatomy of a Bootstrap plugin, creating your own custom components and extending Bootstrap using jQuery. Finally, you will discover how to optimize your website and integrate it with third-party frameworks.By the end of this book, you will have a thorough knowledge of the framework’s ins and outs, and be able to build highly customizable and optimized web interfaces.

Apache Spark for Data Science Cookbook. Solve real-world analytical problems

Padma Priya Chitturi

Spark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark’s selling point is that it combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. It lets you tackle the complexities that come with raw unstructured data sets with ease. This guide will get you comfortable and confident performing data science tasks with Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be shown effective solutions to problematic concepts in data science using Spark’s data science libraries such as MLLib, Pandas, NumPy, SciPy, and more. These simple and efficient recipes will show you how to implement algorithms and optimize your work.

Microsoft 365 Security, Compliance, and Identity Administration. Plan and implement security and compliance strategies for Microsoft 365 and hybrid environments

Peter Rising

The Microsoft 365 Security, Compliance, and Identity Administration is designed to help you manage, implement, and monitor security and compliance solutions for Microsoft 365 environments.With this book, you’ll first configure, administer identity and access within Microsoft 365. You’ll learn about hybrid identity, authentication methods, and conditional access policies with Microsoft Intune. Next, you’ll discover how RBAC and Azure AD Identity Protection can be used to detect risks and secure information in your organization. You’ll also explore concepts such as Microsoft Defender for endpoint and identity, along with threat intelligence. As you progress, you’ll uncover additional tools and techniques to configure and manage Microsoft 365, including Azure Information Protection, Data Loss Prevention (DLP), and Microsoft Defender for Cloud Apps.By the end of this book, you’ll be well-equipped to manage and implement security measures within your Microsoft 365 suite successfully.

MariaDB High Performance. Familiarize yourself with the MariaDB system and build high-performance applications

Pierre Mavro