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The ethical algorithm : the science of socially aware algorithm design

Tác giả: Michael Kearns, Aaron Roth

Contents: Algorithmic privacy : from anonymity to noise. Algorithmic fairness : from parity to pareto. Games people play (with algorithms). Lost in the garden : led astray by data. Risky business : interpretability, morality and the singularity.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 3
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Storytelling with data : a data visualization guide for business professionals

Tác giả: Cole Nussbaumer Knaflic

Contents: The importance of context; Choosing an effective visual; Clutter is your enemy!; Focus your audience's attention; Think like a designer; Dissecting model visuals; Lessons in storytelling; Pulling it all together; Case studies; Final thoughts.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1
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Our final invention : artificial intelligence and the end of the human era

Tác giả: James Barrat

Artificial intelligence (AI) helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1
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AI business strategies : leveraging artificial intelligence as a competitive advantage

Tác giả: Bob Pellerin

The book explores the risks and ethical considerations that come with using AI, as well as the potential impact on the workforce. With a clear-eyed view of both the opportunities and the pitfalls, "Leveraging Artificial Intelligence as a Competitive Advantage" is an indispensable guide for anyone ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1
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Machine learning in the aws cloud : add intelligence to applications with amazon sagemaker and amazon rekognition

Tác giả: Abhishek Mishra

Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 1