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Quantum Machine Learning: Inference on Bayesian Networks
Quantum Machine Learning: Inference on Bayesian Networks
Building a quantum Bayes net, amplitude amplification, and more
Sashwat Anagolum
Aug 16
Elmo Embedding — The Entire Intent of a Query
Elmo Embedding — The Entire Intent of a Query
Search Query Understanding by Categorization
Sonu Sharma
Aug 17
Tutorial: How to Scale and Rotate Contours in OpenCV using Python
Tutorial: How to Scale and Rotate Contours in OpenCV using Python
In this tutorial, I’ll walk you through how one can scale and rotate a contour based on OpenCV python API.
NVS Abhilash
Jun 28
Tensorflow 2.0 tutorial on categorical features embedding
Tensorflow 2.0 tutorial on categorical features embedding
A comprehensive guide to categorical features embedding using Tensorflow 2.0 and a practical demo on how to train a neural network with it.
Oussama Errabia
Aug 13
Popular Stories
Building a Simple Chatbot from Scratch in Python (using NLTK)
Building a Simple Chatbot from Scratch in Python (using NLTK)
Gartner estimates that by 2020, chatbots will be handling 85 percent of customer-service interactions; they are already handling about 30…
Parul Pandey
Sep 16, 2018
Optimization Algorithms for Deep Learning
Optimization Algorithms for Deep Learning
I have explained Optimization algorithms for Deep learning like Batch and Minibatch gradient descent, Momentum, RMS prop, and Adam…
Rochak Agrawal
Jul 22
Python Implementation of Andrew Ng’s Machine Learning Course (Part 1)
Python Implementation of Andrew Ng’s Machine Learning Course (Part 1)
A few months ago I had the opportunity to complete Andrew Ng’s Machine Learning MOOC taught on Coursera. It serves as a very good…
Srikar
Aug 31, 2018
Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value…
Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value…
Applications of Singular Value Decomposition(SVD) and the different ways of implementing SVD in Python
Khyati Mahendru
Aug 4
A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms
A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms
A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python code
Khyati Mahendru
Aug 13
Latest Stories
Why is scaling required in KNN and K-Means?
Why is scaling required in KNN and K-Means?
KNN and K-Means are one of the most commonly and widely used machine learning algorithms. KNN is a supervised learning algorithm and can…
Pulkit Sharma
Aug 24
Accuracy vs. F1-Score
Accuracy vs. F1-Score
A comparison between Accuracy and F1-score for Binary Classification and other metrics from the Confusion Matrix.
Purva Huilgol
Aug 23
Used Car Prediction using Weighted Average Ensemble
Used Car Prediction using Weighted Average Ensemble
Intuition and explanation of Weighted Average Ensemble techniques using Python
Nelsonchris
Aug 23
R-Squared vs Adjusted R-Squared
Evaluation Metrics for Regression models and a comparison between them
Aishwarya Singh
Aug 22
How Reproducibility Crisis is Eating Away the Credibility of Machine Learning Technology?
How Reproducibility Crisis is Eating Away the Credibility of Machine Learning Technology?
Reproducibility of results has become a big challenge for Machine Learning models. We explore the challenges and possible solutions.
Atman Rathod
Aug 22
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