Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist.

In this episode you will learn:
• What is Make School?  [5:00]
• Sidney’s interest in AI and computer science [10:56]
• Graph theory and graph convolutional neural networks [19:53]
• What tools does Sidney use for her work? [31:16]
• Sidney’s internship [36:52]
• How other beginners can get involved in data science [38:12]
• Sidney’s goals [41:57]

Additional materials: www.superdatascience.com/477

The SuperDataScience Podcast: Machine Learning | AI | Success

SDS 477: How to Thrive as an Early-Career Data Scientist

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 477: How to Thrive as an Early-Career Data Scientist

Super Data Science: ML & AI Podcast with Jon Krohn

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