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Ai Fundamentals For Business Leaders Up To Date With Generative Ai I Almeida

  • SKU: BELL-50937876
Ai Fundamentals For Business Leaders Up To Date With Generative Ai I Almeida
$ 31.00 $ 45.00 (-31%)

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Ai Fundamentals For Business Leaders Up To Date With Generative Ai I Almeida instant download after payment.

Publisher: Now Next Later AI
File Extension: RAR
File size: 12.48 MB
Pages: 415
Author: I. Almeida
ISBN: 9780645510553, 0645510556
Language: English
Year: 2023

Product desciption

Ai Fundamentals For Business Leaders Up To Date With Generative Ai I Almeida by I. Almeida 9780645510553, 0645510556 instant download after payment.

Introducing "Artificial Intelligence Fundamentals for Business Leaders" - the perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI.
More Than a Book

By purchasing this book, you will also be granted access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion with other readers.

You will also receive 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion.

AI Academy by Now Next Later AI

We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically.

Book and Course Learning Rubric

  • Chapters 1-7: Understanding of AI [11%] — Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence.
  • Chapters 8-13: Understanding of Data and Data Management [11%] — Clear understanding of the significance of big data, and strategies for data management.
  • Chapters 14-29: Understanding of Machine Learning [30%] — Familiarity with machine learning algorithms, different learning types, and the key steps involved in a machine learning project.
  • Chapters 30-35: Understanding of Deep Learning [9%] — Understanding of deep learning, its basics, and the structure and types of neural networks.
  • Chapters 36-40: Understanding of Model Selection and Evaluation [9%] — Ability to select and evaluate machine learning models and utilize them for decision-making.
  • Lessons 41-50: Understanding of Generative AI [15%] — Detailed understanding of g

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