The Chief AI Officer's Handbook. Master AI leadership with strategies to innovate, overcome challenges, and drive business growth

Jarrod Anderson, Jeff Winter

Chief Artificial Intelligence Officers (CAIOs) are now imperative for businesses, enabling organizations to achieve strategic goals and unlock transformative opportunities through the power of AI. By building intelligent systems, training models to drive impactful decisions, and creating innovative applications, they empower organizations to thrive in an AI-driven world. Written by Jarrod Anderson, Chief AI Officer at SYRV.AI, this book bridges the gap between visionary leadership and practical execution.This handbook reimagines AI leadership for today’s fast-paced environment, leveraging predictive, deterministic, generative, and agentic AI to address complex challenges and foster innovation. It provides CAIOs with the strategies to develop transformative AI initiatives, build and lead elite teams, and adopt AI responsibly while maintaining compliance. From shaping impactful solutions to achieving measurable business outcomes, this guide offers a roadmap for making AI your organization’s competitive edge.By the end of this book, you’ll have the knowledge and tools to excel as a Chief AI Officer, driving innovation, strategic growth, and lasting success for your organization.

Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not

Dan Toomey

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more.This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode.Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.

Photorealistic Materials and Textures in Blender Cycles. Create impressive production-ready projects using one of the most powerful rendering engines - Fourth Edition

Arijan Belec

Blender is one of the most versatile tools in the 3D software industry, and with a growing audience and constantly expanding set of features, it has become more powerful, useful, and in demand than ever before. This updated fourth edition of Photorealistic Materials and Textures in Blender Cycles is an all-inclusive guide to procedural texturing, rendering, and designing materials in Blender, covering all aspects of the 3D texturing workflow.The book begins by introducing you to Blender’s material nodes and material property functions, and then helps you create photorealistic textures by understanding texture maps and mapping them to 3D models. As you advance, you’ll learn to design high-quality environments and lighting using HDRIs and Blender’s lighting options. By exploring, breaking down, and studying the underlying mechanics that allow you to develop these elements, you’ll create any material, texture, or environment and use it to improve your artwork and present them in a professional way. Finally, you’ll discover how to correctly set up scenes and render settings, and get to grips with the key elements of achieving realism.By the end of this book, you’ll have gained a solid understanding of materials, textures, shading, lighting, rendering, and all the critical aspects of achieving the highest quality with your 3D artwork.

IBM SmartCloud Essentials. This book provides an overview of what modern cloud computing involves, and then focuses specifically on the most important features of the IBM SmartCloud portfolio. A crash course in implementing cloud computing for your organization

Edwin Schouten

IBM, the oldest technology company in the world, has a wide variety of powerful cloud services to offer from its IBM SmartCloud portfolio. Being able to differentiate them, and knowing how to use them efficiently gives you a competitive advantage over others.Starting with the basics of cloud computing, this guide covers the wide range of cloud components, services, and solutions in the IBM SmartCloud portfolio. Following on from this, you'll be introduced to the public , Infrastructure as a Service (IaaS) cloud service - IBM SmartCloud Enterprise; before peeking into the future of IBM cloud services. Using this book, you will discover the advantage of both traditional enterprise computing and public cloud computing.You will explore IBM's portfolio of cloud computing solutions ranging from infrastructure services (IaaS), to business services (BPaaS), and private to public cloud. You will be taken through a number of in-depth use-cases, examples, and hand-on exercises that will help you to take advantage of infrastructure as a service solution IBM SmartCloud Enterprise quickly and easily.You will learn everything you need to know about the IBM SmartCloud Enterprise, including how to take advantage of cloud computing within your organization.

Building Android Games with Cocos2d-x. Learn to create engaging and spectacular games for Android using Cocos2d-x

Raydelto Hernadez, Raydelto Hernandez

NumPy Cookbook. If you’re a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library

Ivan Idris, NumPy

Today's world of science and technology is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy will give you both speed and high productivity.NumPy Cookbook will teach you all about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, it is free and open source.Numpy Cookbook will teach you to write readable, efficient, and fast code that is as close to the language of Mathematics as much as possible with the cutting edge open source NumPy software library.You will learn about installing and using NumPy and related concepts. At the end of the book, we will explore related scientific computing projects.This book will give you a solid foundation in NumPy arrays and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project through examples.NumPy Cookbook will help you to be productive with NumPy and write clean and fast code.

Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

Duc Haba

Data is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust. Acquiring additional data through traditional methods can be challenging, expensive, and impractical, and data augmentation offers an economical option to extend the dataset.The book teaches you over 20 geometric, photometric, and random erasing augmentation methods using seven real-world datasets for image classification and segmentation. You’ll also review eight image augmentation open source libraries, write object-oriented programming (OOP) wrapper functions in Python Notebooks, view color image augmentation effects, analyze safe levels and biases, as well as explore fun facts and take on fun challenges. As you advance, you’ll discover over 20 character and word techniques for text augmentation using two real-world datasets and excerpts from four classic books. The chapter on advanced text augmentation uses machine learning to extend the text dataset, such as Transformer, Word2vec, BERT, GPT-2, and others. While chapters on audio and tabular data have real-world data, open source libraries, amazing custom plots, and Python Notebook, along with fun facts and challenges.By the end of this book, you will be proficient in image, text, audio, and tabular data augmentation techniques.

Agile Technical Practices Distilled. A learning journey in technical practices and principles of software design

Pedro M. Santos, Marco Consolaro, Alessandro Di Gioia

The number of popular technical practices has grown exponentially in the last few years. Learning the common fundamental software development practices can help you become a better programmer. This book uses the term Agile as a wide umbrella and covers Agile principles and practices, as well as most methodologies associated with it. You’ll begin by discovering how driver-navigator, chess clock, and other techniques used in the pair programming approach introduce discipline while writing code. You’ll then learn to safely change the design of your code using refactoring. While learning these techniques, you’ll also explore various best practices to write efficient tests. The concluding chapters of the book delve deep into the SOLID principles - the five design principles that you can use to make your software more understandable, flexible and maintainable. By the end of the book, you will have discovered new ideas for improving your software design skills, the relationship within your team, and the way your business works.