Apress | Artificial Intelligence Basics: A Non-Technical Introduction (2019 EN)

Author: Tom Taulli
Full Title: Artificial Intelligence Basics: A Non-Technical Introduction
Publisher: Apress; 1st ed. edition (August 2, 2019)
Year: 2019
ISBN-13: 9781484250280 (978-1-4842-5028-0), 9781484250273 (978-1-4842-5027-3)
ISBN-10: 1484250281, 1484250273
Pages: 187
Language: English
Genre: Educational: Artificial Intelligence
File type: EPUB (True), PDF (True)
Quality: 10/10
Price: 32.09 €


Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success.

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, and future 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.


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

Features:
✓ Study how you can implement AI in your organization by putting together a strategy and setting realistic objectives
✓ Contextualize case studies from companies who are leveraging AI to transform their businesses
✓ Learn how to deal with some of the inherent risks like bias, data quality and employee resistance
✓ Review valuable frameworks, tools, and languages such as Python, TensorFlow, and PyTorch

Who This Book Is For:
Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.

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