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 How to Optimize Your Jupyter Notebook
This article walks through some simple tricks on improving your Jupyter Notebook experience, and covers useful shortcuts, adding themes, automatically generated table of contents, and more.
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Semi-supervised learning with Generative Adversarial Networks
The paper discussed in this post, Semi-supervised learning with Generative Adversarial Networks, utilizes a GAN architecture for multi-label classification.
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Top 7 Location Intelligence Companies in 2020
Here’s a complete list of top 7 location intelligence companies in the market - an overview, pricing, pros, and cons that’ll help you identify the right location intelligence tool for your business.
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NLP Year in Review — 2019
In this blog post, I want to highlight some of the most important stories related to machine learning and NLP that I came across in 2019.
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Explaining Black Box Models: Ensemble and Deep Learning Using LIME and SHAP
This article will demonstrate explainability on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence, using two state of the art open source explainability techniques, LIME and SHAP.
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Top Stories, Jan 13-19: Math for Programmers!; Decision Tree Algorithm, Explained
Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning
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We Created a Lazy AI
This article is an overview of how to design and implement reinforcement learning for the real world.
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Top 9 Mobile Apps for Learning and Practicing Data Science
This article will tell you about the top 9 mobile apps that help the user in learning and practicing data science and hence is improving their productivity.
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Schema Evolution in Data Lakes
Whereas a data warehouse will need rigid data modeling and definitions, a data lake can store different types and shapes of data. In a data lake, the schema of the data can be inferred when it’s read, providing the aforementioned flexibility. However, this flexibility is a double-edged sword.
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Classify A Rare Event Using 5 Machine Learning Algorithms
Which algorithm works best for unbalanced data? Are there any tradeoffs?
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How to Optimize Your Jupyter Notebook
Top 9 Mobile Apps for Learning and Practicing Data Science