Learning Engineering

Artificial intelligence has changed how money is built, shifting the advantage toward those who move early. What once required years of effort can now be created through leverage instead of grind, making passive income accessible to anyone who understands the system. This 2-in-1 guide, offers a clear path to building income streams that grow beyond your time and effort. Start now and put yourself on the side of automated income that compounds forward.

The Art of Doing Science and Engineering is the expression of what “You and Your Research” outlined. It's a book about thinking; more specifically, a style of thinking by which great ideas are conceived. The book is filled with stories of people performing mighty deeds—but they are not meant simply to be admired. Instead, they are to be aspired to, learned from, and surpassed. Hamming consistently returns to Shannon’s information theory, Einstein’s theory of relativity, Grace Hopper’s work on high-level programming, Kaiser’s work on digital filters, and his own work on error-correcting codes.

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Discover valuable machine learning techniques you can understand and apply using just high school math. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

Either if you want to start your own AI enterprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and neural networks programming is the skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to program and use neural networks, and to do that Neural Networks for Beginners is the perfect way.

Are you impressed by your apps’ ability to display and work equally well on your desktop, smartphone, laptop, and tablet? As a result, you may have made up your mind to learn how you, too, can create such impressive sites for the web. There’s no question that you - or anybody - can attain such ability given the right training. All you need is a patient and knowledgeable instructor to impart to you these technical skills. But, you don’t have to go through expensive courses and tedious lectures for that.

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

Three comprehensive manuscripts in one audiobook. Listen to this audiobook now if you want to learn more about machine learning!

Have you ever wondered how your robot vacuum avoids your coffee table or how a self-driving car knows when to stop at a red light? What about the robots that dance on stage, deliver meals, or even roam the dusty surface of Mars? These aren't just science fiction anymore—they're part of an increasingly real and evolving world: the world of robotics. Robots are everywhere, from household gadgets to space-faring explorers, from robotic pets to factory arms assembling your smartphone. We see them in the news, in our homes, in medicine, in classrooms, and on construction sites.

Entering the world of engineering and STEM isn’t just for “brainiacs". Anyone can succeed in this arena, but it does require dedication and attention to critical skills. In this book about how to start your science and engineering career, author and engineer Jake Ryland shares seven practical steps for good grades and continued success in the world of engineering. Drawing from his own experience as a struggling student, Ryland emphasizes the importance of a proper foundation and avoiding common pitfalls.

We are living in the age of information and there’s no denying it—those who are best at organizing, understanding, and then using data to their advantage will be the ones on top. The skills themselves are simple and easy to learn and will give you a tremendous advantage in the highly competitive marketplace of today’s workforce. The only thing left is for you to give a little commitment and launch yourself into a whole new reality of success.

The world is constantly changing and evolving. Transportation was revolutionized by cars and planes; however, machine learning will revolutionize the world in which we live from simple day-to-day tasks to even the most complex endeavors. You will learn the fundamentals of machine learning from algorithms, Python, and supervised and unsupervised learning. You will also learn about the real world applications, implications, and theories of Markov models.

Machine learning occurs primarily through the use of algorithms and other elaborate procedures. Whether you're a novice, intermediate, or expert this book will teach you all the ins, outs and everything you need to know about machine learning. Instead of spending hundreds or even thousands of dollars on courses/materials why not listen to this audiobook instead? It's a worthwhile listen and the most valuable investment you can make for yourself.

AI Product Development is a comprehensive and practical guide for product managers, engineers, data scientists, and tech leaders who are committed to creating intelligent products that solve real-world problems at scale. This book bridges the gap between machine learning theory and practical product delivery, offering a step-by-step blueprint for integrating AI into every stage of product development.

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

The 21st century is a world in constant change. In A New Culture of Learning, Doug Thomas and John Seely Brown pursue an understanding of how the forces of change, and emerging waves of interest associated with these forces, inspire and invite us to imagine a future of learning that is as powerful as it is optimistic.