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Recommendation engines

Tác giả: Michael Schrage

Contents: What recommenders are/why recommenders matter. On the origins of recommendation. A brief history of recommendation engines. How recommenders work. Experiencing recommendations. Recommendation innovators. The recommender future.

Content

Tác giả: Kate Eichhorn

Contents: 1. A Brief History of Content in a Digital Era. 2. User-Generated Content. 3. Content Farms. 4. Content Capital. 5. Journalism and Politics after Content. 6. Content Automation.

Cybersecurity

Tác giả: Duane Wilson

An introduction to the major concepts in Cyber Security that includes case examples and tips for individuals to protect themselve.

Data science

Tác giả: John D. Kelleher, Brendan Tierney

Presenting to What is data science?. What is data and what is a dataset?. The data science ecosystem. Machine learning 101. Standard data science tasks. Privacy and ethics. Future trends and principles of success.

Open access

Tác giả: Peter Suber

A concise introduction to the basics of open access, describing what it is (and isn't) and showing that it is easy, fast, inexpensive, legal, and beneficial.