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Your home for data science. A Medium publication sharing concepts, ideas and codes.
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The Proof of Learning in Machine Learning/AI
The Proof of Learning in Machine Learning/AI
Before any mathematical development, we must first understand the foundation of learning and how it is closely linked to the concept of…
Rômulo Pauliv
May 16
Backpropagation Through Time — How RNNs Learn
Backpropagation Through Time — How RNNs Learn
An explanation of the backpropagation through time algorithm
Egor Howell
May 16
Latest
How to Evaluate Your Predictions
How to Evaluate Your Predictions
Be mindful of the measure you choose
Jeffrey Näf
May 16
No Label Left Behind: Alternative Encodings for Hierarchical Categoricals
No Label Left Behind: Alternative Encodings for Hierarchical Categoricals
Seeking a system that works for current and future codes
Valerie Carey
May 16
I built a reusable dashboard for Read the Docs traffic analytics using Vizro
I built a reusable dashboard for Read the Docs traffic analytics using Vizro
(in less than 50 lines of code)
Jo Stichbury
May 16
Create an Interactive Map to Display Time Series of Satellite Imagery
Create an Interactive Map to Display Time Series of Satellite Imagery
Learn How to Visualize Time Series Data from Satellite Imagery on a Map Using Folium and Plotly Libraries (Python)
Mahyar Aboutalebi, Ph.D. 🎓
May 16
The Importance of Collaboration in Data
The Importance of Collaboration in Data
Asking for feedback is a secretly powerful tool in data work. Let’s talk about why, and how to do it well.
Stephanie Kirmer
May 16
Best Practices for AIML Product UX
Best Practices for AIML Product UX
This blog post describes practices for “what good looks like” in AIML UX, suggests examples, and maps a path forward for product leaders.
Bishr Tabbaa
May 16
Unlocking Valuable Data and Model Insights with Python Packages Yellowbrick and PiML (with Code)
Unlocking Valuable Data and Model Insights with Python Packages Yellowbrick and PiML (with Code)
How to get insights about model robustness/reliability, training data size adequacy, and more
Dr. Theophano Mitsa
May 16
How to Get Promoted in Data Science
How to Get Promoted in Data Science
Advice and tips that helped me get my first promotion as a data scientist
Egor Howell
May 16
Exploring LLMs for ICD Coding — Part 1
Exploring LLMs for ICD Coding — Part 1
Building automated clinical coding systems with LLMs
Anand Subramanian
May 16
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