AI as a Service
Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development - and developers who can design, develop, implement, and maintain these systems will be in high demand! AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you'll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Cloud-based AI services can automate a variety of labor intensive business tasks in areas such as customer service, data analysis, and financial reporting. The secret is taking advantage of pre-built tools like Amazon Rekognition for image analysis or AWS Comprehend for natural language processing. That ...
Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development - and developers who can design, develop, implement, and maintain these systems will be in high demand! AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you'll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Cloud-based AI services can automate a variety of labor intensive business tasks in areas such as customer service, data analysis, and financial reporting. The secret is taking advantage of pre-built tools like Amazon Rekognition for image analysis or AWS Comprehend for natural language processing. That ...
Coffee Break Python Slicing
Puzzle-based learning is an active learning technique. With code puzzles, you will learn faster, smarter, and better. Coffee Break Python Slicing is all about growing your Python expertise - one coffee at a time. The focus lies on the important slicing technique to access consecutive data ranges. Understanding slicing thoroughly is crucial for your success as a Python developer. This book teaches you everything you need to know about slicing in Python. As a bonus, you will track your individual Python coding skill level throughout the book. ...
Puzzle-based learning is an active learning technique. With code puzzles, you will learn faster, smarter, and better. Coffee Break Python Slicing is all about growing your Python expertise - one coffee at a time. The focus lies on the important slicing technique to access consecutive data ranges. Understanding slicing thoroughly is crucial for your success as a Python developer. This book teaches you everything you need to know about slicing in Python. As a bonus, you will track your individual Python coding skill level throughout the book. ...
Introduction to Data Science
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, algorithm building with caret, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation with knitr and R markdown. The book is divided into six parts: R, Data Visualization, Data Wrangling, Probability, Inference and Regression with R, Machine Learning, and Productivity Tools. Each part has several chapters meant to be presented as one lecture. The book includes dozens of exercises distributed across most chapters. ...
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, algorithm building with caret, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation with knitr and R markdown. The book is divided into six parts: R, Data Visualization, Data Wrangling, Probability, Inference and Regression with R, Machine Learning, and Productivity Tools. Each part has several chapters meant to be presented as one lecture. The book includes dozens of exercises distributed across most chapters. ...
Coding in the Classroom
Computer science opens more doors for today's youth than any other discipline - which is why Coding in the Classroom is your key to unlocking students' future potential. Author Ryan Somma untangles the current state of CS education standards; describes the cognitive, academic, and professional benefits of learning CS; and provides numerous strategies to promote computational thinking and get kids coding! Whether you're a teacher, an after-school coach, or a parent seeking accessible ways to boost your kid's computer savvy, Coding in the Classroom is here to help. With quick-start programming strategies, scaffolded exercises for every grade level, and ideas for designing CS events that promote student achievement, this book is a rock-solid roadmap to CS integration from a wide variety of on-ramps. You'll learn: tips and resources for teaching programming concepts via in-class activities and games, without a computer; development environments that make coding and sharing web apps a ...
Computer science opens more doors for today's youth than any other discipline - which is why Coding in the Classroom is your key to unlocking students' future potential. Author Ryan Somma untangles the current state of CS education standards; describes the cognitive, academic, and professional benefits of learning CS; and provides numerous strategies to promote computational thinking and get kids coding! Whether you're a teacher, an after-school coach, or a parent seeking accessible ways to boost your kid's computer savvy, Coding in the Classroom is here to help. With quick-start programming strategies, scaffolded exercises for every grade level, and ideas for designing CS events that promote student achievement, this book is a rock-solid roadmap to CS integration from a wide variety of on-ramps. You'll learn: tips and resources for teaching programming concepts via in-class activities and games, without a computer; development environments that make coding and sharing web apps a ...
Write Great Code: Volume 1, 2nd Edition
This, the first volume in Randall Hyde's Write Great Code series, dives into machine organization without the extra overhead of learning assembly language programming. Written for high-level language programmers, Understanding the Machine fills in the low-level details of machine organization that are often left out of computer science and engineering courses. Learn: How the machine represents numbers, strings, and high-level data structures, so you'll know the inherent cost of using them; How to organize your data, so the machine can access it efficiently; How the CPU operates, so you can write code that works the way the machine does; How I/O devices operate, so you can maximize your application's performance when accessing those devices; How to best use the memory hierarchy to produce the fastest possible programs. Great code is efficient code. But before you can write truly efficient code, you must understand how computer systems execute programs and how abstractions in prog ...
This, the first volume in Randall Hyde's Write Great Code series, dives into machine organization without the extra overhead of learning assembly language programming. Written for high-level language programmers, Understanding the Machine fills in the low-level details of machine organization that are often left out of computer science and engineering courses. Learn: How the machine represents numbers, strings, and high-level data structures, so you'll know the inherent cost of using them; How to organize your data, so the machine can access it efficiently; How the CPU operates, so you can write code that works the way the machine does; How I/O devices operate, so you can maximize your application's performance when accessing those devices; How to best use the memory hierarchy to produce the fastest possible programs. Great code is efficient code. But before you can write truly efficient code, you must understand how computer systems execute programs and how abstractions in prog ...
Write Great Code: Volume 3
The field of software engineering may value team productivity over individual growth, but legendary computer scientist Randall Hyde wants to make promising programmers into masters of their craft. To that end, Engineering Software - the latest volume in Hyde's highly regarded Write Great Code series - offers his signature in-depth coverage of everything from development methodologies and strategic productivity to object-oriented design requirements and system documentation. You'll learn: Why following the software craftsmanship model can lead you to do your best work; How to utilize traceability to enforce consistency within your documentation; The steps for creating your own UML requirements with use-case analysis; How to leverage the IEEE documentation standards to create better software. This advanced apprenticeship in the skills, attitudes, and ethics of quality software development reveals the right way to apply engineering principles to programming. Hyde will teach you the ...
The field of software engineering may value team productivity over individual growth, but legendary computer scientist Randall Hyde wants to make promising programmers into masters of their craft. To that end, Engineering Software - the latest volume in Hyde's highly regarded Write Great Code series - offers his signature in-depth coverage of everything from development methodologies and strategic productivity to object-oriented design requirements and system documentation. You'll learn: Why following the software craftsmanship model can lead you to do your best work; How to utilize traceability to enforce consistency within your documentation; The steps for creating your own UML requirements with use-case analysis; How to leverage the IEEE documentation standards to create better software. This advanced apprenticeship in the skills, attitudes, and ethics of quality software development reveals the right way to apply engineering principles to programming. Hyde will teach you the ...
Operating Systems: From 0 to 1
This book helps you gain the foundational knowledge required to write an operating system from scratch. Hence the title, 0 to 1. After completing this book, at the very least you will learn: How to write an operating system from scratch by reading hardware datasheets. In the real world, it works like that. You won't be able to consult Google for a quick answer. A big picture of how each layer of a computer is related to the other, from hardware to software. Write code independently. It's pointless to copy and paste code. Real learning happens when you solve problems on your own. Some examples are given to kick start, but most problems are yours to conquer. However, the solutions are available online for you to examine after giving it a good try. Linux as a development environment and how to use common tools for low-level programming. x86 assembly in-depth. How a program is structured so that an operating system can run. How to debug a program running directly on hardware with gdb an ...
This book helps you gain the foundational knowledge required to write an operating system from scratch. Hence the title, 0 to 1. After completing this book, at the very least you will learn: How to write an operating system from scratch by reading hardware datasheets. In the real world, it works like that. You won't be able to consult Google for a quick answer. A big picture of how each layer of a computer is related to the other, from hardware to software. Write code independently. It's pointless to copy and paste code. Real learning happens when you solve problems on your own. Some examples are given to kick start, but most problems are yours to conquer. However, the solutions are available online for you to examine after giving it a good try. Linux as a development environment and how to use common tools for low-level programming. x86 assembly in-depth. How a program is structured so that an operating system can run. How to debug a program running directly on hardware with gdb an ...
Tensorflow 2 Tutorial
TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. This book is a somewhat intermediate-level introduction to Tensorflow 2. We will eventually cover everything tf.keras, but no so fast until we implemented them with raw tffirst. ...
TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. This book is a somewhat intermediate-level introduction to Tensorflow 2. We will eventually cover everything tf.keras, but no so fast until we implemented them with raw tffirst. ...
Beginning R 4
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and ...
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and ...
Just Enough Linux
If you've toyed with Linux and never really caught on to what's happening or have used a graphical interface without really touching the command line this book is for you. The idea is to get you started on the process of using some of the commands available in Linux so that you: Feel comfortable running commands; You understand a little more about what Linux is about; Most importantly, you start to get Linux. It's not written for experts. It's put together as a guide to get you started if you're unsure about how to make the first move. Although it's examples are centered around using Linux with a Raspberry Pi, the commands you learn here will translate to an industrial server running Linux. ...
If you've toyed with Linux and never really caught on to what's happening or have used a graphical interface without really touching the command line this book is for you. The idea is to get you started on the process of using some of the commands available in Linux so that you: Feel comfortable running commands; You understand a little more about what Linux is about; Most importantly, you start to get Linux. It's not written for experts. It's put together as a guide to get you started if you're unsure about how to make the first move. Although it's examples are centered around using Linux with a Raspberry Pi, the commands you learn here will translate to an industrial server running Linux. ...