Machine Programming

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...

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.

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.

*Start your Data Science career using Python today!* Are you ready to start your new exciting career? Ready to master artificial intelligence and deep learning concepts? Are you overwhelmed with complexity of the books on this subject? Then let this breezy and fun little book on Python, Machine Learning and Deep Learning models make you a Data Scientist in 7 days! This book continues from where the first book in the series, Ultimate Step by Step Guide to Machine Learning Using Python, left of. In the first book you were introduced to Python concepts such as: • Data Structures like Pandas ...

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.

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 ...

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.

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.

Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.

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.

A primer on Machine Learning tailored for individuals interested in exploring the field before advancing to more complex literature by the author, including 'Data Science' and other works. ('Data Science' achieved the #1 spot in Mathematical Analysis on Amazon).

Unlock the full potential of data science with "Mastering Data Science with R: Expert Level Insights and Practices." Designed for experienced R users and data scientists, this comprehensive guide delves deep into cutting-edge algorithms and advanced methodologies, propelling you from proficient to expert level. Inside, you'll find: - Advanced Statistical Learning: Master complex regression models, generalized additive models, survival analysis, and mixed-effects models. - Machine Learning Mastery: Explore ensemble methods, neural networks, reinforcement learning, and sophisticated ...

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.

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.

Dive into the world of robotics and unleash your creativity with "Raspberry Pi Robotics"! This comprehensive guide is the ultimate resource for hobbyists, beginners, and technical enthusiasts who want to explore their passion for building robots with Raspberry Pi. Step into the future as "Raspberry Pi Robotics" escorts you on a fantastic journey through 30 exciting chapters filled with hands-on tutorials, expert insights, and cutting-edge projects that bring together programming, electronics, and mechanics. Experience the thrill of creating your very own robot and see it come to life before...

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.

Do you know how to build a machine learning algorithm in Python? Have you learned how to build a neural network in Python? If you have listened to the first three audiobooks in the series, you will know how to do both those things. If you want to learn more about the concepts related to machine learning and some subjects and concepts that are linked to machine learning, you have come to the right place.

This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all-encompassing with accurate and concise principles of machine learning.

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!

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.