With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and take application performance to a whole new level Key Features Explore scikit-learn uniform API and its application into any type of model Understand the difference between supervised and unsupervised models Learn the usage of machine learning through real-world examples Book Description As machine learning algorithms...

Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei's Ascend chip, presenting and analyzing the unique performance and attributes of this processor. The title introduces the fundamental theory of AI, the software and hardware architecture of the Ascend AI processor, related tools and programming technology, and typical application cases. It demonstrates internal software...

Being the first book in the market to dive deep into the Transformers, it is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers using PyTorch, TensorFlow, Hugging Face, Trax, and AllenNLP.

"A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. 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...

"For centuries, they have lived among us. When they were discovered, they were called witches, vampires, or devils and sentenced to a quick death. They are human just like us, except for a rare genetic quirk that has granted them immortality. Now, a chance encounter with a beautiful woman has led John Rogers into the middle of a secret war between the immortals. She needs his help in the battle between a rebellious group and their elders. The grand...

Much in the same way that software transformed business in the past two decades, AI is set to redefine organizations and entire industries. Just as every company is a software company today, every company will soon be an AI company. This practical guide explains how business and technical leaders can embrace this new breed of organization. Based on real customer experience, Microsoft's David Carmona covers the journey necessary to become an AI Organization-from...

Der bekannte KI-Pionier Stuart Russell zeigt die Chancen und Risiken der Künstlichen Intelligenz auf Eine Superintelligenz als Zukunftsszenario - wie wir es schaffen, die Kontrolle zu behalten Eine realistische und kritische Betrachtung der KI mit anschaulichen Analogien und konkreten Lösungsvorschlägen In diesem bahnbrechenden Buch über die größte Frage bei der Entwicklung der KI zeigt der bekannte KI-Forscher Stuart Russell, wieso er sein...

"In this non-fiction book for teens, readers are guided through the development of this world-changing technology, exploring how AI has touched every corner of our world, including education, healthcare, work, politics, war, international relations, and even romance. This is essential reading for anyone who wants to understand how artificial intelligence got here, how to make the best use of it, and how we can expect it to transform our lives"--

Cover classical algorithms commonly used as artificial intelligence techniques and program agile artificial intelligence applications using Pharo. This book takes a practical approach by presenting the implementation details to illustrate the numerous concepts it explains. Along the way, youll learn neural net fundamentals to set you up for practical examples such as the traveling salesman problem and cover genetic algorithms including a fun zoomorphic...

The negative effects of bias in artificial intelligence models’ underlying data has made headlines, and companies need to find ways to address it. But it’s impossible to completely abolish bias in AI data to equitably account for diverse populations — so instead, companies should remediate it to deliberately compensate for unfairness. The author describes a three-step process that can yield positive results for leaders looking to reduce the...