Category: datascience

What an Argentine Writer and a Hungarian Mathematician Can Teach Us About Machine Learning Overfitting

What an Argentine Writer and a Hungarian Mathematician Can Teach Us About Machine Learning Overfitting = Previous post    Tags: Machine Learning, Mathematics, Overfitting This article presents some beautiful ideas about intelligence and how they related to modern machine learning. By Jesus Rodriguez, Intotheblock. comments Source: https://www.ofrases.com/frase/28193 I recently started a new newsletter focus on AI …


Big Announcement: 3 Free Certificate Courses in Data Science and Machine Learning by Analytics Vidhya!

An Unmissable Opportunity to Earn your Data Science Certificate Picture this – you are given the opportunity to take a high-quality course on a data science or machine learning topic(s) free of cost. And as the icing on an already delicious offering, you will even get a certificate upon completing the course! So not only …


A Detailed Study of Self Supervised Contrastive Loss and Supervised Contrastive Loss

Introduction Supervised Contrastive Learning paper claims a big deal about supervised learning and cross-entropy loss vs supervised contrastive loss for better image representation and classification tasks. Let’s go in-depth in this paper what is about. Claim actually close to 1% improvement on image net data set¹. Architecture wise, its a very simple network resnet 50 …


What is Simpson’s Paradox and How to Automatically Detect it

What is Simpson’s Paradox and How to Automatically Detect it = Previous post Next post =>    Tags: Simpson’s Paradox, Statistics Looking at data one way can tell one story, but sometimes looking at it another way will tell the opposite story. Understanding this paradox and why it happens is essential, and new tools are …


Pneumonia Detection using CNN with Implementation in Python

Model evaluation Now let’s deep dive into the accuracy towards test data using the confusion matrix. First, we need to predict all the X_test and convert the result back from one-hot format to its actual categorical label. predictions = model.predict(X_test) predictions = one_hot_encoder.inverse_transform(predictions) Next, we can employ the confusion_matrix() function like this: cm = confusion_matrix(y_test, …


Automating Every Aspect of Your Python Project

Automating Every Aspect of Your Python Project = Previous post    Tags: Development, DevOps, Docker, Programming, Python Every Python project can benefit from automation using Makefile, optimized Docker images, well configured CI/CD, Code Quality Tools and more… comments By Martin Heinz, DevOps Engineer at IBM Every project — regardless of whether you are working on …


Alternative Hyperparameter Optimization Technique You need to Know – Hyperopt

Introduction When working on a machine learning project, you need to follow a series of steps until you reach your goal, one of the steps you have to execute is hyperparameter optimization on your selected model. This task always comes after the model selection process (select the best model that is performing well than other …


The Insiders’ Guide to Generative and Discriminative Machine Learning Models

The Insiders’ Guide to Generative and Discriminative Machine Learning Models = Previous post    Tags: Deep Learning, GANs, Generative Adversarial Network, Modeling In this article, we will look at the difference between generative and discriminative models, how they contrast, and one another. comments By Saurav Singla, Data Scientist Photo by Photos Hobby on Unsplash In this article, we …


Coursera’s Machine Learning for Everyone Fulfills Unmet Training Needs

Coursera’s Machine Learning for Everyone Fulfills Unmet Training Needs = Previous post    Tags: Coursera, Courses, Eric Siegel, Machine Learning Coursera’s Machine Learning for Everyone (free access) fulfills two different kinds of unmet learner needs, for both the technology side and the business side, covering state-of-the-art techniques, business leadership best practices, and a wide range …


5 Must-Watch Talks Before your Next Data Science Hackathon (featuring SRK, Dipanjan Sarkar, and more!)

Overview Data science hackathons are a great way to test, improve and build your data science skillset Hear from top data science experts like SRK, Dipanjan Sarkar, Rohan Rao, and more in these full session videos! Introduction I love the multi-faceted nature of data science. It’s an amalgamation of our coding skills, statistical knowledge, business …