Matrices in Data Science Are Always Real and Symmetric
Author(s): Benjamin Obi Tayo Ph.D. Because data science deals with real-world problems, matrices in data science must be real and symmetric Continue reading on Towards AI » Published via Towards AI …
Why it’s Super Hard to be an ML Researcher or Developer?
Author(s): Nishu Jain A Realization that Literally Changed my Life Continue reading on Towards AI » Published via Towards AI …
Deploying Data Science Web Apps with Streamlit: Text Display
Author(s): Mahbubul Alam Article series on deploying data science applications Continue reading on Towards AI » Published via Towards AI …
Imbalanced-learn: Handling imbalanced class problem
Author(s): Chetan Ambi A hands-on guide for handling imbalanced data using imbalanced-learn Continue reading on Towards AI » Published via Towards AI …
K-Means Simplified
Author(s): Luthfi Ramadhan Data Science, Machine Learning Short Introduction and Numerical Example of K-Means Clustering Source: http://graphalchemist.github.io/Alchemy/images/features/cluster_team.png What is clustering? Clustering is the process of grouping a set of data objects (or observations) into subsets. Each subset is a cluster, such that objects …
Your Data Science Toolbox — What is Inside?
Author(s): Benjamin Obi Tayo Ph.D. As a data scientist, you can only perform tasks which you have the right tools for Continue reading on Towards AI » Published via Towards AI …
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 …
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