Machine Programming

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.

With this beginner’s handbook, you’ll learn how to use ChatGPT efficiently and create maximized results. Create natural, human-like conversations, being aware of its limitations and biases, and prepare for the artificial intelligence future.

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.

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.

By the end of this audiobook, you'll have gained a deep understanding of GPT-4's true potential and a wealth of practical knowledge on how to harness its power in your life. Get ready to embark on a thrilling journey that will leave you eager to embrace the limitless possibilities offered by GPT-4. So, are you ready to transform your life? Dive into this fascinating audiobook and find out!

If you wish to learn python, Python Volume 1 will introduce you to the unlimited potential of python programming language in the world of big data, data science, deep learning, machine learning, artificial intelligence, and more.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

The future of our world is evolving towards an era where interaction with machines form the foundation of most tasks we perform. In light of this, it is important to gain actionable knowledge in machine learning technologies and skills. These skills will be useful in the near future as you maneuver through different career paths. This audiobook introduces you to vast concepts in machine learning that will be important to your career. You will have learned so much about machine learning and the respective python libraries that you will use when building models all the time.

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives and how we can shape the way they impact us.

Two of the biggest design problems in Artificial Intelligence are how to build robots that behave in line with human values and how to stop them ever going rogue. One under-explored solution to these alignment and control problems might be to examine how these are already addressed in the design of humans. Robot Souls looks at developments in AI and reviews the emergence of ideas of consciousness and the soul. It places our 'junk code' in this context and argues that it is time to foreground that code, and to use it to look again at how we are programming AI.

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.

Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it? Here's the deal.... As a beginner you might think that programming is complex.... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high.

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.

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.

Are you a newbie to computer programming and you want to start but you are a little confusing? Are you searching for a book with many practical examples within? Are you curious to understand why Python is the best way to begin? If you feel related to those questions, then this audibook is for you. Here you will find tons of useful information about Python divided into sections to make the learning process easier and more interesting.

Python is now the go-to programming language for web usage, enterprise, and is the number one embedded language! This - along with the fact that it is the most preferred programming language for machine learning, computer science, artificial intelligence, and deep learning - has made it one of the most sought-after programming languages!

Artificial intelligence is the secret behind the big ones like Google, Facebook, Amazon, and we all know that. But it can also be a powerful tool in your own hands. With this audiobook, you will prepare the ground for your future success, either if you want to start up your own AI enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies. If programming will open you many doors, Python programming will open you even more.

If you need a go-to guide with numerous examples and coded programs, Python Machine Learning will be the answer. If you want to train your own models and enhance them to achieve your demand, Python Machine Learning is the exact tool. Do you want to train the machines and model to carry out complex jobs with accurate date and predictions in a more efficient way? Do you want to have a quick start in the right direction to enter into the Python world?

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.