Learning Engineering

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.

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.

This book explains engineering practice, what engineers actually do in their work. The first part explains how to find paid engineering work and prepare for an engineering career. The second part explains the fundamentals of engineering practice, including how to gain access to technical...

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.

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.

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.

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.

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.

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.

Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.

In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.

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.

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.

C# programming is becoming more and more popular with each passing day, simply because it's an easy-to-learn language, robust, comprehensive, practical, and a general-purpose language. C# programming is an in-demand skill sought out by many employers and corporations worldwide. This book offers illustrated, step-by-step examples for you to learn from, including real-life examples.

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.

Instead of jumping right into the instructions, this book will first provide you with all the necessary concepts that you need to learn in order to make the learning process a whole lot easier. This way, you are sure not to get lost in confusion once you get to the more complex lessons provided in the latter chapters. Sample codes are provided for a more visual approach on your learning. You will also learn the designs and forms of C# and what's more convenient than getting to know both sides!

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.

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.

We can learn many things from models. Scientists use models to test their ideas. Listeners will learn about the importance of making predictions, testing ideas, collecting data, and more.

Immerse yourself into the world of computer science and computer systems technology with this all-inclusive guide. We begin by introducing you to the origins and mechanisms of function behind such systems. We then proceed into a comprehensive review of more advanced topics such as hardware specifics, and even algorithms and data structures. This audiobook serves as an excellent supplemental study guide for listeners studying for the CompTIA A+ Certification Exam.