This book discusses all open SIAI exams that you can find from following:

• MSc AI/DS Program Intro
• MBA AI/BigData Program Intro

As most of you know already MBA AI's courses are mostly undergrad level equivalents to MSc AI/DS Program, thus this discussion will mostly cover MBA's technical track courses first.

The school also believes that MBA's business track students will also be hugely benefited by this discussion as we will try our best to speak in 'plain English'. SIAI is founded by a group of researchers with firm belief that all math and stat tools become relevant when used to real world, the process of which is coined as 'data scientific intution' in SIAI's education.

In the end, all exams are just abstracted version of leading academic papers in relevant fields, such as econometrics, computational science, computer science, along with managerial science. The papers are boring and sometimes too difficult to read. Students get lost and are mostly unable to grasp what's important. The exams are a sort of guide for students to digest the paper in the best way to apply what they learned in courses.

As you follow the book, you will see that math and stat are just another representation of 'sense'. People try to make 'sense' in English (or your own mother tongue). Data Scientists are not different. We just call it 'data sicnetific intuition'. In our job, we also want to make 'sense', but our language between us is just unfortunately not English. Yet, in this book, we will try our best to speak in English.