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We Don’t Need To Worry About Overfitting Anymore
Author(s): Sean Benhur J Machine Learning We Don’t Need To Worry About Overfitting Anymore Photo by Mohamed Nohassi on Unsplash Motivated by prior work connecting the geometry of the loss landscape and generalization, we introduce a novel, effective procedure for instead simulta- neously …
Breast Cancer Prediction with Geometric Mean Classification with Probabilistic Optimization
Author(s): Ashutosh Malgaonkar This article will talk about predicting Breast Cancer Diagnosis based on the UCI Machine Learning Dataset which can be downloaded at this… Continue reading on Towards AI » Published via Towards AI …
How I Screwed up a HackerRank Test With a Line of Code
Author(s): Michelangiolo Mazzeschi Click here to get to know me, my projects, and my latest articles. One week ago I was very excited after getting accepted to a coding test for a company I was applying to. I spent the last …
K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics
Author(s): Sujan Shirol, Husna Sayedi, Roberto Iriondo The image is a screenshot of the COVIDCAST application, an open-source project by the Delphi Research Group at Carnegie Mellon University. Diving into K-nearest neighbor, a fundamental classical machine learning (ML) algorithm Join us ↓ …
My Machine Learning Internship Experience — Part 1
Author(s): Anglina Bhambra This time last year, I was a couple of months into my Machine Learning internship. Continue reading on Towards AI » Published via Towards AI …
How to Succeed at the TensorFlow Developer Certification exam (2021)
Author(s): Phani Rohith Resources to pass the TensorFlow Developer certification Continue reading on Towards AI » Published via Towards AI …
Fully Explained DBScan Clustering Algorithm with Python
Author(s): Amit Chauhan Unsupervised learning in machine learning on density-based clusters Continue reading on Towards AI » Published via Towards AI …
A Simple and Scalable Clustering Algorithm for Data Summarization
Author(s): Haris Angelidakis [Source: https://d1m75rqqgidzqn.cloudfront.net/wp-data/2020/01/17162345/clustering-algorithms-in-Machine-Learning.jpg] Machine Learning A Simple and Scalable Clustering Algorithm for Data Summarization The Gonzalez heuristic for k-Center Introduction In the era of big data, the need for designing efficient procedures that summarize millions of data points in a meaningful …
Uber AresDB is an Open Source , GPU-Powered Database for Large-Scale Analytics Workloads
Author(s): Jesus Rodriguez The open source stack is powering real time analytics pipelines at Uber. Continue reading on Towards AI » Published via Towards AI …
Fully Explained Gradient Boosting Technique in Supervised Learning
Author(s): Amit Chauhan A regression and classification approach in machine learning Continue reading on Towards AI » Published via Towards AI …
Top Three Ways To Get The Most Out Of Your Machine Learning Project
Author(s): Bipin Biddappa P K Machine Learning, Opinion And here is why you should be doing them right away Photo by Icons8 team on Unsplash Introduction A machine learning model learns from the data it is given to make better and better decisions over …
Perceptron Is Not SGD: A Better Interpretation Through Pseudogradients
Author(s): Francesco Orabona, Ph.D. Actual conversation with my wife (Image from xkcd.com) There is a popular interpretation of the Perceptron as a stochastic (sub)gradient descent procedure. I even found slides online with this idea. The thought of so many young minds twisted by these …
TensorFlow: Accelerate NumPy with GPUs
Author(s): Louis Chan Speed up matrix operations with TensorFlow’s experimental API Continue reading on Towards AI » Published via Towards AI …
Shapash: Making ML Models Understandable by Everyone
Author(s): Yann Golhen Machine Learning In this article, we will present Shapash, an open-source python library that helps Data Scientists to make their Machine Learning models more transparent and understandable by all! Shapash Web App Demo Shapash by MAIF is a Python Toolkit that …
Fully Explained K-Nearest Neighbors with Python
Author(s): Amit Chauhan Machine learning classification algorithm study to solve real cases in data science. Continue reading on Towards AI » Published via Towards AI …
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