A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code
Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at …
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Stock Prices Prediction Using Machine Learning and Deep Learning Techniques (with Python codes)
This article covers stock prediction using ML and DL techniques like Moving Average, knn, ARIMA, prophet and LSTM with python codes.
The Winning Approaches from codeFest 2018 – NLP, Computer Vision and Machine Learning!
This article lists down all the winning approaches to the recently concluded Analytics Vidhya and IIT-BHU codeFest hackathon series.
Your Code Leaves Fingerprints, and Machine Learning can now Identify it
A couple of researchers have designed a machine learning algorithm that can analyze patterns in code and identify the author – with 83% accuracy.
DeepCode Analyzes and Cleans your Code with the Help of Machine Learning
DeepMind has come up with a tool that goes through your code and suggests improvements. It’s a must-have for anyone who writes programs!
Google is making Music with Machine Learning – and has released the code on GitHub
Overview Google’s research arm, Magenta, has developed a deep neural network to generate sound To utilize the algorithm, it has also released an open …
Commonly used Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on August 10, 2015 and updated on Sept 9th, 2017 Overview Major focus on commonly used machine learning …
How to build Ensemble Models in machine learning? (with code in R)
Introduction Over the last 12 months, I have been participating in a number of machine learning hackathons on Analytics Vidhya and Kaggle competitions. After …
Cheatsheet – Python & R codes for common Machine Learning Algorithms
Introduction In his famous book – Think and Grow Rich, Napolean Hill narrates story of Darby, who after digging for a gold vein for …
A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone
Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision …
