AI has been a disruptive technology in the past few years, yet it has more to offer still, in various industries. However, there are still a few inconsistencies as to how it is used, particularly in data science projects. This course will explore how AI can be used effectively and the cases where it cannot add as much value. We'll also explore future trends of AI technologies as well as the human aspect of this field. We'll close this course with a Q&A session with the speaker.

Topics:

Overview of Data Science
Why AI is an essential technology today, esp. when there is an abundance of data available
What AI is and what it's not
How AI adds value in data science
How AI relates to DS and Privacy
Good practices of AI pipelines
Things to avoid when dealing with AI systems
The human aspect of AI
Limitations of AI
Future trends in AI technologies
Resources for learning more about AI and data science

Screenshots

Citación :

rapidgator_net:
https://rapidgator.net/file/344db060c748cb0266ec7f26d8136625/5o4kf.Dos.and.Do.Nots.of.AI.in.Data.Science.rar.html

nitroflare_com:
https://nitroflare.com/view/E77BC2CF59B8C8C/5o4kf.Dos.and.Do.Nots.of.AI.in.Data.Science.rar

uploadgig_com:
http://uploadgig.com/file/download/7893c6e7bd6e2E4d/5o4kf.Dos.and.Do.Nots.of.AI.in.Data.Science.rar