This episode features Dr. Andrea Isoni, an expert in AI and data sciences. The conversation focuses on the journey to becoming a machine learning engineer or data scientist without a degree. The interview covers topics such as understanding Linux and the command line, learning programming languages, using frameworks like Django, and collaborating with others using Git/GitHub.
Andrea also shares insights on finding the right internships and job opportunities, staying competitive in the field, and building a strong CV.
On the topic of boot camps, Andrea cautions against believing in boot camps that promise quick results and high-paying jobs, highlighting the competitive and saturated job market. He suggests researching boot camps and online courses thoroughly, considering reviews, and talking to others who have gone through them.
Finally, He encourages perseverance and dedication for those looking to break into the field without a college degree, acknowledging that it is a challenging but possible journey.
Key points discussed:
Timestamps:
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Books and resources mentioned in this podcast:
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