How to Share your Machine Learning Models with Shiny
Author(s): George Pipis A walk-through example of an interactive Shiny Apps Continue reading on Towards AI » Published via Towards AI …
5 Most Commonly Used Distance Metrics in Machine Learning
Author(s): Chetan Ambi Different types of distance metrics used in Machine Learning Continue reading on Towards AI » Published via Towards AI …
Fully Explained K-means Clustering with Python
Author(s): Amit Chauhan Unsupervised part in machine learning for group similarities. Continue reading on Towards AI » Published via Towards AI …
12 Factors of reproducible Machine Learning in production
Author(s): Ben Koller Machine Learning The last two decades have yielded us some great understandings of Software Development. A big part of that is due to the emergence of DevOps and its wide adoption throughout the industry. Leading software companies follow identical …
16 Interview Questions That Test Your Machine Learning Skills (Part-2)
Author(s): Chandrasekhar Gundluru Ace your machine learning interviews Continue reading on Towards AI » Published via Towards AI …
16 Interview Questions That Test Your Machine Learning Skills (Part-1)
Author(s): Chandrasekhar Gundluru Ace your machine learning interviews Continue reading on Towards AI » Published via Towards AI …
Fully Explained Logistic Regression with Python
Author(s): Amit Chauhan A Statistical non-linear approach in the machine learning algorithm Continue reading on Towards AI » Published via Towards AI …
Deploying a Neural Style Transfer App on Streamlit
Author(s): Tim Cvetko Get your ML app up and running in a matter of minutes Continue reading on Towards AI » Published via Towards AI …
How To Win Your NHL Pool Without Even Trying
Author(s): Yan Gobeil I am taking part in the NHL pool organized by the Canadian Blind Hockey Association. Machine Learning How I used machine learning to predict the number of points that a hockey player will score this year With the new National …
Performance Metrics to evaluate ML Models
Author(s): Rajvi Shah Explanation and application of popular metrics to measure the performance of ML models. Continue reading on Towards AI » Published via Towards AI …
The Power of List Comprehensions, and Their Relevance in Machine Learning Programming
Author(s): Michelangiolo Mazzeschi My explanation on how to use nested list properly Continue reading on Towards AI » Published via Towards AI …
Music Genre Prediction by Extracted Audio-Features + Comparison To the Spotify-API
Author(s): Maximilian Stäbler Can we extract features of a piece of music that allow a more precise genre classification than the features provided by Spotify via their… Continue reading on Towards AI » Published via Towards AI …
4 Reasons Why I’ll be Focusing on Privacy-Preserving Machine Learning in 2021
Author(s): Arunn Thevapalan Without it, we’ll never be able to solve any real-world problems. Continue reading on Towards AI » Published via Towards AI …
Robust Regression: All You Need to Know & an Example in Python
Author(s): Serafeim Loukas In this article I explain what robust regression is, using a working example in Python Continue reading on Towards AI » Published via Towards AI …
One LEGO at a Time: Explaining the Math of how Neural Networks Learn with Implementation from Scratch
Author(s): Omar U. Florez, Ph.D. A neural network is a clever arrangement of linear and non-linear modules. When we choose and connect them wisely, we have a powerful tool to approximate any mathematical function. For example one that separates classes with a non-linear …
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