Machine Programming

"PLC Ladder Logic Fundamentals" is a concise guide that introduces readers to Programmable Logic Controllers (PLCs) and their programming. The book covers the definition and advantages of PLCs, basic components, Ladder Logic programming, input/output modules, data handling, advanced techniques, and PLC communication. Suitable for beginners and professionals, it provides step-by-step instructions and practical examples to master PLC programming and automation.

This book attempts to teach Swift Programming, from Novice to Expert. Topics covered include: • Swift • Frameworks and APIs • Data Structures and Algorithms • Mathematics • Data Science and Machine Learning • IO and Databases • Cryptography and Hacking • Networking • Fast-running Code • Blockchain • .... And more

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.

If your are new to computer programming or want to brush up, then this ultimate bundle that combines aspects of machine learning and python programming for beginners and intermediates is for you.

This book, Computer Programming Python, Machine Learning, JavaScript Swift, Golang, is a wonderful assortment of the absolute best languages to know for the future. It is the most optimum choice of programming languages to choose for a single book. It includes the main essential languages, like Python and JavaScript, that every programmer should walk into an interview knowing.

Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

This book provides a short summary and overview of data structures, algorithms, and machine learning. It is meant to introduce these topics to those new to programming for data analysis and engineering as well as provide a means for those familiar in these topics to explore them in Ruby.

Assembly language is often considered a bridge between high-level programming languages and machine code. Unlike high-level languages such as Python or C, which use human-readable syntax and abstract away many details of the underlying hardware, assembly language provides a more direct representation of the CPU's operations.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.

AI has seamlessly integrated into various aspects of society, from virtual assistants on our smartphones to personalized recommendations on streaming platforms. It has revolutionized industries, improved efficiency, and opened new avenues for innovation. In this essential quick reference guide for beginners, embark on a journey to explore Artificial Intelligence's vast possibilities and potential. Learn about AI programs, AI terminology, Programming Basics, and Building AI solutions. Get acquainted with NLP, ML, Computer Vision, General AI, DL, RL, Chatbot, Scikit-learn, TensorFlow, Pytorch...

Title: "Understanding ML: Programming Concepts with Machine Learning" In an age where artificial intelligence and machine learning have taken center stage, "Understanding ML: Programming Concepts with Machine Learning" arrives as the definitive guide for those looking to harness the power of this groundbreaking technology. This comprehensive, accessible, and engaging book is designed to not only inform but also to lure readers into exploring the fascinating world of machine learning. Whether you're a seasoned programmer, an aspiring data scientist, or simply someone intrigued by the ...

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

This audiobook gives you the opportunity to understand how python machine learning works and how to learn and apply these techniques in everyday life. You will learn the basics of programming in python and some examples of problems which can be solved with machine learning. The work was written especially for beginners. The topic is treated with simplicity and it is easy to listen and understand. If you want to improve on your projects and applications, make sure you listen to this audiobook that will give you the right help to get you started!

This audiobook will not aim to be a manual in Python or programming in general but an incursion into the realm of these subjects - a short trip to make you curious about what Python and data analysis are all about, why they are used in association, and even how they are used, at times. If you are ready to embrace Python, even as a complete beginner, you are a daring soul who deserves to be part of the amazing future we’re building in this industry.

Imagine waking up every morning, knowing that your bank account kept growing during your sleep, thanks to the remarkable capabilities of AI. Picture having the freedom to pursue your dreams and passions, unburdened by the shackles of a conventional job. Can you feel the excitement building? In “Unlocking Passive Income with ChatGPT: Ethical AI-Driven Strategies for Wealth Generation” you will discover the potential of AI and how it can become your most powerful ally in the pursuit of wealth and personal fulfillment.

How we can get more joy from our machines by telling them what our hearts desire. In this informative, accessible, and very funny book, Michael L. Littman inspires listeners to learn how to tell machines what to do for us. Rather than give in to the fear that computers will steal our jobs, spy on us and control what we buy and whom we vote for, we can improve our relationship with them just by learning basic programming skills. Our devices will help us, Littman writes, if we can say what we want in a way they can understand.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.