Machine Learning Engineering

Are you a machine-learning enthusiast looking for a practical day-to-day application? Or are you just trying to incorporate machine-learning software in your trading decisions? This audiobook is your answer.

Yes, you can succeed in an AI-driven world by unleashing your potential in machine learning! A working knowledge of AI and ML is no longer a “nice-to-have” but an “essential” in today's job market. But what if you feel lost amid the tech jargon? What if terms like “algorithms”, “neural networks”, or “data preprocessing” sound like a foreign language to you?

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

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 want to master data science? Understand Markov models and learn the real world application to accurately predict future events. Extend your knowledge of machine learning, python programming, and algorithms. The objective of this book is to teach you the essentials at the most fundamental level. You will learn the ins and outs of machine learning, and its real world applications. Also, specifically you will discover practical implementations of Markov models in Python programming.

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 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 goal of this book is simple: provide a perfect insight into data science from scratch. It clearly explains the difference between data science and big data, explaining the concept of big data very concisely and clearly. Operations on data are also very clearly explained in this audiobook. The book is also an ultimate guide to master data mining and data-analytic.

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.

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.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.

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.

This audiobook includes two manuscripts, Machine Learning: Master the Three Types of Machine Learning and Hacking: Computer Hacking Mastery. Machine learning is vital to the world of information technology, and the world of hacking has changed so much in recent years. This guidebook has all the information that you need about machine learning and the most common hacks that are going on today.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

Written in an accessible style for all audiences, “How AI Will Shape Our Future” anchors listeners in the history and evolution of Artificial Intelligence, laying the groundwork for a deeper understanding of its trajectory. This equips listeners to engage more thoughtfully with the book’s central theme: What should societies expect from AI in the decades ahead? How does AI actually function? What will its impact be on employment and education, both short-term and long-term? How will AI reshape society, the economy, government, culture, and geopolitics?

This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications and also a few examples of the different types of machine learning.

Computer programmers are increasingly in demand in the world. It is estimated that over 50 percent of companies fail to hire Python programmers because there are not enough advanced and prepared programmers. The problem, however, is that the world is full of books and technical courses that are not able to easily explain the Python programming language and teach how to analyze the data properly.

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?