Artificial Intelligence Machine Learning

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.

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products.

*Start your Data Science career using Python today!* Are you ready to start your new exciting career? Ready to crush your machine learning career goals? Are you overwhelmed with complexity of the books on this subject? Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days! First part of this book introduces Python basics including: • Data Structures like Pandas • Foundational libraries like Numpy, Seaborn and Scikit-Learn Second part of this book shows you how to build predictive machine learning models step by step using ...

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.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

If you want to learn about artificial intelligence without having to go through a boring textbook, then pay attention....

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

This audiobook is the conclusive history of the field of artificial intelligence (AI), following its history from the fantasies of early pioneers to the more effective work of the present AI engineers. The audiobook incorporates numerous outlines and straightforward depictions of AI programs that will enable the easygoing per user to increase a comprehension of how these and other AI frameworks really work. The work was written especially for beginners. The topic is treated with simplicity and it is easy to read and understand.

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?

The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today’s complex and ever-changing modern information systems. This book shows you how to construct your data lakehouse as the foundation for your artificial intelligence (AI), machine learning (ML), and data mesh initiatives. Know the pitfalls and techniques for maximizing business value of your data lakehouse. In addition, be able to explain the core characteristics and critical success factors of a data lakehouse. By reviewing entry errors, key incompatibility, and ensuring good documentation...

Dive into the world of AI and transform yourself from a conversational AI beginner to a pro with "ChatGPT for Beginners Made Easy". This is a non-technical guide tailored for those new to technology and looking to learn AI through practical application.

Are you overwhelmed by AI jargon and complex concepts? Do you wish for a simple guide to show you how AI can transform your life and career? You’re not alone! Many people feel the same way, but with AI for Beginners, you’ll gain clarity and confidence in this ever-evolving field.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

AI on AI is a thought-provoking exploration of the latest trends and developments in artificial intelligence. Join R Allure as they engage in fascinating conversations with AI systems about the implications of AI for society, ethics, and human creativity. This book offers a unique perspective on the future of technology and the role that AI will play in shaping our world. Whether you're a technology enthusiast, a business leader, or simply curious about the future, this book is a must-read. So pick up your copy today and start exploring the world of AI like never before!

Manage and optimize metadata using Artificial Intelligence (AI) and Machine Learning (ML) through this comprehensive guide on the intricate and pivotal world of data cataloging. The book demystifies the concepts of data cataloging, highlighting its critical role in ensuring that data within organizations is accurate, accessible, and actionable. Jeff meticulously lays out strategies and insights on creating a robust data catalog that manages metadata and uses AI and ML to enhance its usability and reliability. In an era dominated by data-driven decisions, understanding and implementing ...

No hype or jargon—become adept at asking good questions about the data and obtaining answers to add significant business value to analytics and artificial intelligence (AI). We start by exploring fundamental topics, such as how data relates to your pain points, where to find the data, the skillsets involved in data work, and the two main data methodologies. Next, we cover high-level matters regarding data, expanding the scope of data initiatives and elaborating on the bigger picture of data work. Learn how to enrich your data assets, what professionals and technologies you’ll need to ...

The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for “Artificial Intelligence,” a rapidly advancing class of foundational capabilities which are increasingly embedded in all types of educational technology systems and are also available to the public.

Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this audiobook, you will be introduced to the concept of business intelligence.

Step into a world where technology speaks for itself with Artificially Intelligent: The AI-Powered Podcast Transcripts. This captivating collection offers you an exclusive look into the cutting-edge conversations generated entirely by artificial intelligence. Each transcript captures thought-provoking dialogues on emerging tech trends, the ethical dilemmas of our digital age, and bold predictions for the future—all delivered with a unique blend of wit, insight, and futuristic charm. Whether you're a tech enthusiast, a curious thinker, or simply eager to explore the interplay between human...

Artificial Intelligence (AI) is a rapidly growing field that encompasses a wide range of technologies, algorithms, and applications. AI involves the creation of intelligent machines that can perform tasks that typically require human intelligence, such as recognizing speech, making decisions, and solving complex problems. AI is used in various applications, such as image and speech recognition, natural language processing, robotics, and autonomous vehicles. In this chapter, we explore the history, technologies, applications, and challenges of AI.