Nexus
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Computer Vision Creating an object detection model the streamlined way An in-depth guide on how to create a chess object detection model. Training data is available at my repo. No-code interfaces are revolutionizing the …
The Outlier Story — Leverage and Influential Point in Linear Regression
Author(s): Supriya Ghosh Originally published on Towards AI. Data Science Image by Will Myers on unsplash For understanding any Outliers and Unusual Observations in linear regression, it is important to understand a formal and basic definition of Linear regression. “Linear regression is …
Introduction to MLOps for Data Science
Author(s): Amit Chauhan Originally published on Towards AI. A part of continuous integration, continuous development, and continuous testing This member-only story is on us. Upgrade to access all of Medium. Image Source What is MLOps? If we break down the word itself, …
Feature Selection and Removing in Machine Learning
Author(s): Amit Chauhan Originally published on Towards AI. Improving model and its accuracy for high dimension data This member-only story is on us. Upgrade to access all of Medium. Photo by Franki Chamaki on Unsplash As we know the importance of features …
Adding a pandemic index to the Sales forecast
Author(s): Okoh Anita Originally published on Towards AI. How I adjusted sales demand forecast by developing an index using casual inference This member-only story is on us. Upgrade to access all of Medium. Image from Unsplash 2020 was a shock wave for …
2: Monitoring ML-OPS Guide Series
Author(s): Rashmi Margani Originally published on Towards AI. Machine Learning Concept Drift, Data Drift & Monitoring Fig: https://martinfowler.com/ ML System life cycle The most exciting moment of any machine learning system is when you get to deploy your model, but deploying becomes …
3 Key Things to Land a Graduate Data Scientist Job
Author(s): Egor Howell Originally published on Towards AI. The main three things that got me my graduate Data Science job. This member-only story is on us. Upgrade to access all of Medium. Photo by Cytonn Photography on Unsplash I am just about …
Recommended Articles
Author(s): Amit Chauhan Originally published on Towards AI. Exploratory data analysis with visualization libraries This member-only story is on us. Upgrade to access all of Medium. Photo by Firmbee.com on Unsplash Data visualization is a very important aspect of exploratory data analysis. …
Common Challenges in Machine Learning and How to Tackle Them
Author(s): Towards AI Team Introduction Continue reading on Towards AI » Published via Towards AI …
Support Vector Machine (SVM) Introduction — Machine Learning
Author(s): Towards AI Team An introduction to support vector machines (SVM) in machine learning, and their role in supervised ML with examples Continue reading on Towards AI » Published via Towards AI …
State-of-the-Art Data Labeling With a True AI-Powered Data Management Platform
Author(s): Roberto Iriondo This tutorial has been brought to you thanks to Superb AI, the AI-powered enterprise-grade training data platform. | Source: Derivative from original by NASA on Unsplash Diving into genuine state-of-the-art automation of the data labeling workflow on large unstructured datasets …
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 ↓ …
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