Learning Engineering

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

Multi-time best-selling information technology and mathematics author Edward Mize presents the perfect introduction to machine learning for any beginner. With books and a blog that receives tens of thousands of fans monthly, Edward has compiled the most practical and high-level introduction to the components and statistical concepts found in machine learning. Well-known and incredibly popular for his ability to teach complex topics in an easy-to-understand way, Edward uses plain-English explanations, so you can learn and implement machine learning.

A former IEEE/IEEE-USA New Face of Engineering, and an assistant professor of engineering at James Madison University in Harrisonburg, Va., author Jacquelyn Nagel brings us her engineering career journey, from pre-college years to present day. She balances her life between art and science – and shares the opportunities, challenges, and lessons learned that have helped her achieve a successful and satisfying engineering career.

If you want to learn about data science and big data, then pay attention....

When the birds first called, Susan Fox Rogers was in a slack season of her life. The woods and rivers that enthralled her younger self had lost some of their luster. It was the song of a thrush that reawakened Rogers, sparking a long-held desire to know the birds that accompanied her as she rock climbed and paddled, to know the world around her with greater depth. Energized by her curiosity, she followed the birds as they drew her deeper into her authentic self, and ultimately into love.

Do you find yourself wondering what Engineering career suits you the best? And you don’t want to go through searches on different platforms to learn about all the job facets of engineering? Or you hope that this book will allow you to realize that not every position is technical, and you do not have to be scared about an engineering job if you feel you are not technical enough.

For many people, cockroaches are the most pesky of pests. In this funny and fascinating book, Frank reveals his love and admiration for so-called "nasty" creatures like cockroaches, crickets, and more. He shows us that even seemingly terrifying insects are beautiful in their own way—and essential to all life on Earth.

Whether you are an educator, student, researcher, or administrator, it has become even more critical now more than ever to understand what contextualized math curriculum is and how it can be applied inside an online or face-to-face math classroom. What is contextualized mathematics? What are the foundational research underpinnings of contextualized math curriculum? What have we learned about contextualized math curriculum that will improve math education in the future?

Descubre cómo transformar tu productividad y eficiencia en solo 7 días con nuestro audiolibro, incluso si eres nuevo en ChatGPT y la inteligencia artificial. ¿Agobiado por tareas pendientes y herramientas obsoletas que alargan tu jornada laboral? Este audiolibro es tu solución. Descubre cómo la Inteligencia Artificial y ChatGPT pueden ser tus aliados, independientemente de tu edad, industria o conocimiento tecnológico.

Have you ever paused and wondered why some companies like Amazon know what you like and make timely recommendations to you? Have you noticed that some ads are really "sticky" and seem to follow you from your favorite websites to your Facebook or LinkedIn? Everyone hates spam emails and if you have email accounts from different email providers, you can see which is doing a better job in filtering them out for you. Machine learning has become an important backend pillar for technologies to innovate and improve.

Machine learning is fast becoming an important technique used by multiple industries and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved. Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination.

If you want to unleash the power of data science research, machine learning tools, and learn how to optimize business processes with neural networks, then this is the audiobook for you...In this guide, you will learn the processes used by successful companies to turn raw data into powerful insights using open source tools and libraries such as Python, SciKit, and others. You'll also learn how to apply these methods to your own business data to help you make robust decisions.

Technology has grown greatly in the recent past from self-driving cars to automated warehouses to websites being able to suggest what videos we should watch next based on our preferences to showing us ads that relate to things we are interested in and the world we are living in these days. It is, perhaps, like a sci-fi scene from movies of some decades ago.

To understand machine learning, you need to understand what it means and how it affects you. Machine learning is a method the utilizes data analysis to provide an automatic system of analysis for model building that involves analytics. This is a specific branch of artificial intelligence based solely on ideas that say that through a system, you can begin to learn the data that is needed for pattern identification and decision-making that will include minimal amounts of human interaction and intervention.

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.

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.

Do you have a clear understanding of the different types of machine learning algorithms? Do you know what a neural network is and how you can build it? If you want to gather more information about machine learning, deep learning, and neural networks, you have come to the right place.

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

Discover the strategies, tools, and technologies necessary for developing successful mobile-learning programs.

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.