Machine Learning Engineering

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning initiatives, aka predictive AI projects, from conception to deployment.

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.

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.

The Prompt Engineer: A Comprehensive Guide to Becoming Highly Effective" is a book aimed at individuals seeking to develop their prompt engineering skills and become highly effective prompt engineers. The book covers a wide range of topics, including an overview of prompt engineering, essential skills for prompt engineers, tools of the trade, designing effective prompts, implementation and deployment, and advanced topics in prompt engineering. In the first chapter, readers will gain an understanding of what prompt engineering is and its applications in modern businesses. Chapter two delves ...

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.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

A primer on Machine Learning tailored for individuals interested in exploring the field before advancing to more complex literature by the author, including 'Data Science' and other works. ('Data Science' achieved the #1 spot in Mathematical Analysis on Amazon).

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.

Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations.

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?

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

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.

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 knowledge, how to gain the willing collaboration of other people to make things happen, and how to work safely in hazardous environments.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

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.

Discover and learn all about the machine learning in this audiobook. You will appreciate and learn more about advanced machine learning algorithms that are not presented in earlier books. Do you know that you are highly likely part of testing datasets for companies in their machine learning model training, application, and mobile apps? Don’t you want to learn more about the framework that institutions and companies are using for 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.

Get ready to step into the fascinating world of Machine Learning with "Machine Learning Essentials," your comprehensive guide to unraveling the mysteries and mastering the complexities of this crucial and ever-evolving field. Our journey starts with foundational insights, unraveling the rich history and key principles that drive Machine Learning. Understand why this powerful tool is becoming a pivot point for organizations worldwide, touching virtually every industry. Ever wondered what's behind the "magic" of Machine Learning Algorithms? Delve into the types and inner workings of these ...

The Complete Guide to Automation: Transforming the World, Work, and Daily Life is an essential resource for anyone looking to understand the profound impact of automation technologies on society, the workforce, and our everyday routines. This comprehensive book offers a deep dive into the mechanisms driving the automation revolution, from the basics of robotic process automation (RPA) and artificial intelligence (AI) to advanced applications in manufacturing, healthcare, finance, and beyond. Readers will discover the history of automation, tracing its evolution from simple mechanical ...

This bundle includes two audiobooks: Neural Networks and Deep Learning! You will understand the basics of what neural networks are, how they work, and the many tasks you can apply them to. This audiobook will also explain to you in simple layman’s terms the basic foundation and concept of deep learning and how it works.