Machine Learning Engineering

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

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.

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.

Python Machine Learning is a guide to provide you with all the information required to master machine learning using Python. It will give you deep insight into methods of machine learning, deep learning, big data, data science, and more. Furthermore, it will also teach you concepts of Python and how combining machine learning with Python can result in practical solutions. The audiobook touches upon how these solutions can be applied in various fields including governance, technology, business, cybersecurity, and more.

Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it? Here's the deal.... As a beginner you might think that programming is complex.... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high.

A brilliant new theory of the mind that upends our understanding of how the brain interacts with the world For as long as we’ve studied human cognition, we’ve believed that our senses give us direct access to the world. What we see is what’s really there—or so the thinking goes. But new...

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.

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

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.

NEW YORK TIMES BESTSELLER Celebrated futurist Ray Kurzweil, hailed by Bill Gates as “the best person I know at predicting the future of artificial intelligence,” presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development...

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

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.

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.

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.

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 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.