Artificial Intelligence Basics
Apress (Verlag)
978-1-4842-5027-3 (ISBN)
Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, andfuture impact AI will have on world governments, company structures, and daily life.
Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking.
What You Will Learn
Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)
Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch Fix
Understand how AI capabilities for robots can improve business
Deploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer service
Avoid costly gotchas
Recognize ethical concerns and other risk factors of using artificial intelligence
Examine the secular trends and how they may impact your business
Who This Book Is For
Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.
Tom Taulli has been developing software since the 1980s. In college, he started his first company, which focused on the development of e-learning systems. He created other companies as well, including Hypermart.net that was sold to InfoSpace in 1996. Along the way, Tom has written columns for online publications such as BusinessWeek.com, TechWeb.com, and Bloomberg.com. He also writes posts on Artificial Intelligence for Forbes.com and is the advisor to various companies in the space. You can reach Tom on Twitter (@ttaulli) or through his website (Taulli.com) where he has an online course on AI.
Chapter 1: AI Foundations: History Lessons.- Chapter 2: Data: The Fuel for AI.- Chapter 3: Machine Learning: Mining Insights from Data.- Chapter 4: Deep Learning: The Revolution in AI.- Chapter 5: Robotic Process Automation (RPA): An Easier Path to AI.- Chapter 6: Natural Language Processing (NLP): How Computers Talk.- Chapter 7: Physical Robots: The Ultimate Manifestation of AI.- Chapter 8: Implementation of AI: Moving the Needle for Your Company.- Chapter 9: The Future of AI: The Pros and Cons.- Appendix: AI Resources.- Glossary.
Erscheinungsdatum | 23.08.2019 |
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Zusatzinfo | 23 Illustrations, black and white; XII, 187 p. 23 illus. |
Verlagsort | Berkley |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
Schlagworte | AI • Artificial Intelligence • Autonomous Vehicles • Deep learning • machine learning • Natural Language Processing • NLP • Python • robots • Self-driving Cars • tensorflow |
ISBN-10 | 1-4842-5027-3 / 1484250273 |
ISBN-13 | 978-1-4842-5027-3 / 9781484250273 |
Zustand | Neuware |
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