Machine Learning Engineering

Harness the full potential of generative AI to improve your productivity, transform your career, and boost your creativity! Brought to you by the Amazon bestselling author of Essentials of AI for Beginners, this practical, engaging guide makes generative AI easy to understand and use—no matter your background, goals, or starting point. This book stands out for its in-depth yet accessible content, so you can learn core concepts without the jargon. It also includes real-world use cases to discover how AI is already transforming diverse industries. This title also offers a balanced perspective.

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.

Running your own business means no two days ever look quite the same. One moment you’re replying to client emails, the next you’re brainstorming your next big project, and somewhere in between, you’re wearing a whole wardrobe of hats you never planned to own. When your to-do list seems to grow faster than you can check things off, it’s natural to wish for a better way to manage the chaos, without losing the personal touch that makes your business yours. That’s where this book comes in. Whether you’re feeling stuck at a crossroads, craving a little more order in your workday, or ...

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.

This book provides a short summary and overview of data structures, algorithms, and machine learning. It is meant to introduce these topics to those new to programming for data analysis and engineering as well as provide a means for those familiar in these topics to explore them in Ruby.

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).

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 ...

This book is a brief introduction to Artificial Intelligence (AI) for beginners to be read in a short period of time. It will provide the basics of AI and its history, as well as its types, applications, algorithms, and technologies. It will also discuss the ethical issues related to AI and its potential future as well as how to get started in AI for those who would like to work in this field as a career. By the end of this book, readers should have a good understanding of AI and its potential applications. It also includes a tutorial chapter on ChatGPT and Prompt Engineering.

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.

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.

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.

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 ...

Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.

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.

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?

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.

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.

The AI revolution is here, poised to upend every industry in its wake. But how will this new technology actually change how we build companies? In the face of algorithms and machine learning, intangibles that are uniquely human—skills like creativity, adaptability and leadership—will be the clear drivers for growth. Creating the Intangible Enterprise explains how AI will fundamentally change the landscape and, most importantly, shows leaders how to leverage the uniquely human skills—like emotional intelligence, critical thinking, and communication—that will become even more valuable...

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?

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.