just learning data science

I share my journey from a Data Science graduate, through many dead ends and aha moments, to a more profound understanding of the craft. I write to both help others and invite constructive criticism for my own growth.

The hottest Substack posts of just learning data science

And their main takeaways
3 HN points 23 Jan 24
  1. The Softmax function involves two simple steps: converting input values into positive ones using the exponential function and then normalizing them to fit in the range [0, 1] and add up to 1.
  2. Understanding the Softmax function becomes clearer when broken down into these two operations.
  3. By following the process of converting and normalizing values, the Softmax function can be easier to grasp.
0 implied HN points 23 Jan 24
  1. A new post about learning data science is coming soon on justlearningdatascience.substack.com.
  2. The post is by Maciej Gruszczyński and will be available on January 23, 2024.
  3. Readers are encouraged to subscribe to stay updated on the upcoming content.
0 implied HN points 29 Jan 24
  1. Wikipedia may not be the best place for beginners to learn Data Science and Machine Learning due to the unordered topics and high entry level.
  2. The concept of Likelihood function on Wikipedia made it difficult initially due to the absence of input variables, which is a crucial aspect to understand.
  3. Models in machine learning can vary from deterministic with input variables to non-deterministic like a coin flip, showing the wide range of possibilities for machine learning models.
0 implied HN points 23 Jan 24
  1. Maciej shares his journey from web app development to Data Science and his experiences with projects and job positions
  2. He aims to create a community of Data Scientists who can relate to his experiences and provide constructive criticism
  3. Despite time constraints, Maciej pursues knowledge through writing articles and sharing insights with the public
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