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Mr. Market Has Already Prophesied How the Post-COVID World Will Look Like
Author(s): Ravi Shankar The market knows it all, and it has prepared itself for the post-Covid world using millions of data points, Have you? Source: image by Author “In life, unlike chess, the game continues after checkmate”–Isaac Asimov. Coronavirus took everyone by …
Data Science, Car Crashes and Pandemics. Welcome to AlexNet
Author(s): Sohaib Ahmad Using AI to improve response times saves lives Continue reading on Towards AI » Published via Towards AI …
Naive-Bayes Inference for Testing
Author(s): Lawrence Alaso Krukrubo Data Science Proof that Testing Accuracy is Simply Not Enough… Source: Pixabay Intro: Probability is the cornerstone of Artificial Intelligence. The management of uncertainty is key to many applications of AI, such as machine learning, filtering, robotics, computer vision, …
You are Not Too Old to Become a Data Scientist
Author(s): Moeedlodhi Why making a career transition is not the end of the world. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
5 Data Granularity Mistakes That May Cost You
Author(s): Elena Marocco How closely should you look at your data to maximize returns? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Intensive and Extensive Features in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Intensive variables tell us much more about a system than extensive variables. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Handle Imbalanced Data in Machine Learning
Author(s): Chetan Ambi Different methods to handle imbalanced data when solving classification tasks Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Descriptive Statistics with Pandas
Author(s): Sujan Shirol Statistical concepts with examples, formula, and python code Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Bayesian Inference: Beyond Estimating Statistical Models
Author(s): ___ Why and how to apply Bayesian inference to build causal models Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Autoencoders for Dimensionality Reduction
Author(s): George Pipis Dimensionality Reduction with Autoencoders Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Math behind Gradient Descent and the Normal Equation for Linear Regression
Author(s): Moeedlodhi When i started my machine learning journey, the math was something that always intrigued me and still does. I for one believe that… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
A Detailed Introduction to Price Elasticity — With an Example
Author(s): Moeedlodhi Significance of Price Elasticity and how it is used to find the optimum price point. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Why is Python so popular among Data Scientists?
Author(s): Maruti Techlabs Data Science Why is Python so Popular Among Data Scientists? Your organization is only as smart as the data you have access to. The ability to extract insights from massive amounts of data decides your enterprise’s success. This is where …
Bias Matters! What’s Fairlearn, and why should I care?
Author(s): Bruno Cordeiro Improving the fairness of machine learning models. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Three Must Know Concepts in Time Series Analysis- with example
Author(s): Moeedlodhi Time Series data is one of the fastest-growing data out there and that is why it is imperative to have a good understanding of it Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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