In this episode of GeeksBlaBla we answer many questions around AI & ML, their fields of applications, what they are, their uses in industry with our guest Amine.
\nGuests\n0:01 - Intro and welcoming.
\n0:04 - Typical day of a data scientist
\n0:10 - Difference between the job of a data scientist/machine learning engineer/data engineer
\n0:16 - What are the key skills to have to be a great data scientist
\n0:21 - Do we need to have advanced mathes skills to start doing ML ?
\n0:27 - Machine learning process : From collecting the data to testing and tuning our chosen model
\n0:36 - How is Agile Management implemented in the context of ML projects?
\n0:43 - Subsets of Machine Learning ?
\n0:56 - Is statistics necessary for DS ?
\n1:01 - How to get started in AI ?
\n1:03 - What are the main stages of AI ?
\n1:06 - Application of AI techniques in insurance
\n1:13 - Application of AI techniques in advertising
\n1:21 - Business opportunities in african countries (Morocco) that AI will open
\n1:26 - Jobs in AI
\n1:33- Wrap up and goodbye
\nLinks\n\nPrepared and Presented by\n