Samsung Galaxy S9 For DummiesSamsung Galaxy S9 For Dummies documents all the features and capabilities of this popular smartphone, approaching them from the point of view of a user who is perhaps a bit baffled by the documentation and online support that comes with the phone. All aspects of the device are covered, from setup and configuration, to extensive use of the new features and capabilities.
Whether you're looking for approachable guidance on the basics like texting, e-mailing, and accessing the internet, or more advanced topics like downloading apps, synching with a PC, and expanding the phone's potential with new software releases, this trusted resource covers it all.
Take pictures, watch movies, and record videos; Use maps and navigation; Stay connected on social networking sites; Make sense of software updates.
You'll want to keep this book close by, referring to it often as you explore the features and functions of your new Samsung Galaxy S9 smartphone. ...
Machine Learning Projects for Mobile ApplicationsMachine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so.
The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google's ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, com ...
SAFe 4.5 Distilled, 2nd EditionTo succeed in today's adapt-or-die marketplace, businesses must be able to rapidly change the way they create and deliver value to their customers. Hundreds of the world's most successful companies - including Intel, Capital One, AstraZeneca, Cisco, and Philips - have turned to the Scaled Agile Framework (SAFe) to achieve agility at scale and maintain a competitive edge.
SAFe 4.5 Distilled: Applying the Scaled Agile Framework for Lean Enterprises explains how adopting SAFe can quickly improve time to market and increase productivity, quality, and employee engagement. In this book, you will.
Understand the business case for SAFe: its benefits, the problems it solves, and how to apply it; Get an overview of SAFe across all parts of the business: team, program, value stream, and portfolio; Learn why SAFe works: the power of SAFe's Lean-Agile mindset, values, and principles; Discover how systems thinking, Agile development, and Lean product development form the underlying basis for S ...
Programming Skills for Data ScienceUsing data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience.
Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you've uncovered. Step by step, you'll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales.
Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything's focused on real-worl ...
The Game Designer's PlaylistIn The Game Designers Playlist, top game design instructor Zack Hiwiller introduces more than 70 remarkable games, revealing how they work, why they're great, and how to apply their breakthrough techniques in your own games.
Ranging from Go to Texas Hold'em and Magic: The Gathering to Dishonored 2, Hiwiller teaches indispensable lessons about game decision-making, playability, narrative, mechanics, chance, winning, originality, cheats, and a whole lot more. He gleans powerful insights from virtually every type of game: console, mobile, PC, board, card, and beyond.
Every game is presented in full color, with a single purpose: to show you what makes it exceptional, so you can create legendary games of your own.
Discover how game designers use randomness and luck; Make the most of narrative and the narrator's role; Place the game challenge front and center; Optimize game mechanics, and place mechanics in a broader context; Uncover deep dynamic play in games with the simplest rule ...
Data Science Algorithms in a Week, 2nd EditionMachine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical analysis, these models can be leveraged to gain new knowledge from existing data as well.
Data Science Algorithms in a Week addresses all problems related to accurate and efficient data classification and prediction. Over the course of seven days, you will be introduced to seven algorithms, along with exercises that will help you understand different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. This book also guides you in predicting data based on existing trends in your dataset. This book covers algorithms such as k-nearest neighbors, Naive Bayes, decision trees, random forest ...
Pro .NET Memory ManagementUnderstand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write software that interacts with it efficiently and effectively. Pro .NET Memory Management is your comprehensive guide to writing better software by understanding and working with memory management in .NET.
Thoroughly vetted by the .NET Team at Microsoft, this book contains 25 valuable troubleshooting scenarios designed to help diagnose challenging memory problems. Readers will also benefit from a multitude of .NET memory management "rules" to live by that introduce methods for writing memory-aware code and the means for avoiding common, destructive pitfalls.
Understand the theoretical underpinnings of automatic memory management; Take a deep dive into every as ...
Julia 1.0 Programming CookbookJulia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia.
Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases ...
Agile Development for Serverless PlatformsYou need more than great dev tools to release great software; you need an efficient pipeline that takes advantage of modern Agile development practices. Serverless platforms like AWS offer the basic building blocks you need to run code, store data, or process streaming information so you can focus on the features you want to provide, not get bogged down with the infrastructure. Combined with an agile process, serverless architectures help create a quick feedback loop between developers, end users, and businesses, allowing for the quick prototyping and easy production roll-out you need to innovate and react on the fly.
Agile Development for Serverless Platforms helps you start thinking about how to apply Agile practices in fully serverless architectures. This book brings together excerpts from four Manning books selected by Danilo Poccia, the author of AWS Lambda in Action. These chapters are a fantastic way to lay the foundations for understanding the world of agile development on s ...
Eclipse TEA RevealedDiscover the open source Eclipse Tasking Engine Advanced (TEA) project in this compact to-the-point book. It covers how to automate tasks using TEA and focuses on simplifying and aiding the creation of extensions for the Eclipse IDE in a way which makes them accessible both from the IDE's UI and in a headless fashion from the command line.
Additionally, Eclipse TEA Revealed explores the library of pre-built components included with TEA, mostly in the area of rich client platform (RCP)-based Java application development, for building projects, updating sites, dealing with target platforms, and more. After reading and using this book, you'll be up to speed on the fundamentals of Eclipse TEA and ready to use it for more productive Java-based application builds and developments.
View TEA's internal architecture; Work with TEA's APIs; Write TEA components; Use the pre-built TEA components; Set up headless environments using TEA. ...