#91 - AI & ML

<p>In this episode of GeeksBlaBla we answer many questions around AI &amp; ML, their fields of applications, what they are, their uses in industry with our guest Amine.</p>
<h2 id="guests">Guests</h2>
<ul>
<li><a href="https://www.linkedin.com/in/amine-erraqabi-35711a96/">Amine Erraqabi</a></li>
</ul>
<h2 id="notes">Notes</h2>
<p>0:01 - Intro and welcoming.</p>
<p>0:04 - Typical day of a data scientist</p>
<p>0:10 - Difference between the job of a data scientist/machine learning engineer/data engineer</p>
<p>0:16 - What are the key skills to have to be a great data scientist </p>
<p>0:21 - Do we need to have advanced mathes skills to start doing ML ?</p>
<p>0:27 - Machine learning process : From collecting the data to testing and tuning our chosen model</p>
<p>0:36 - How is Agile Management implemented in the context of ML projects?</p>
<p>0:43 - Subsets of Machine Learning ?</p>
<p>0:56 - Is statistics necessary for DS ?</p>
<p>1:01 - How to get started in AI ?</p>
<p>1:03 - What are the main stages of AI ?</p>
<p>1:06 - Application of AI techniques in insurance </p>
<p>1:13 - Application of AI techniques in advertising </p>
<p>1:21 - Business opportunities in african countries (Morocco) that AI will open</p>
<p>1:26 - Jobs in AI </p>
<p>1:33- Wrap up and goodbye</p>
<h2 id="links">Links</h2>
<ul>
<li><a href="https://web.stanford.edu/~hastie/ElemStatLearn/">The Elements of Statistical Learning</a></li>
</ul>
<h2 id="preparedandpresentedby">Prepared and Presented by</h2>
<ul>
<li><p><a href="https://twitter.com/Ismailtlem">Ismail Tlemcani</a></p></li>
<li><p><a href="https://twitter.com/_iMeriem">Meriem Zaid</a></p></li>
</ul>