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Self Driven Data Science — Issue #57
Weekly rundown of interesting news and insights focused on data science, machine learning, and artificial intelligenceSelf Driven Data Science
Here’s this weeks lineup of data-driven articles, stories, and resources ranging across the broad field of data science while offering value to both beginners and experienced practitioners alike. If you would like this newsletter delivered to your inbox each week, then go ahead and subscribe. Enjoy!
Advice on Building Data Portfolio Projects
The importance of an impressive data science portfolio is often overlooked when you hear typical career advice. There’s some great stuff in here about getting started and nailing the details.
One Data Science Job Doesn’t Fit All
Elena Grewal, Head of Data Science at Airbnb, touches on how they go about recognizing and creating systems for diverse data science skills. Most notably, implementing three unique tracks: Analytics, Inference, and Algorithms.
K-Means in Real Life: Clustering Workout Sessions
I love seeing data science projects geared towards self-improvement. Even if it’s not a super complex endeavor, you’re guaranteed to learn something useful. This is a perfect example.
Information Theory of Neural Networks
This post does an excellent job of breaking down information theory in a concise way while visualizing neural networks without getting too caught up in the underlying mathematical concepts.
Processing Streams of Data with Apache Kafka and Spark
Sometimes you need access to real-time data that is being produced every second. Check out this post for a technical, yet accessible deep-dive on streaming data with Kafka and Spark.
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Self Driven Data Science - Revue
Self Driven Data Science - Issue #57 was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
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The views and opinions expressed in this article are solely those of the authors and do not reflect the views of Bitcoin Insider. Every investment and trading move involves risk - this is especially true for cryptocurrencies given their volatility. We strongly advise our readers to conduct their own research when making a decision.