Machine Learning Project in Python Step-By-Step — Loan Defaulters Prediction
Author(s): Fares Sayah Originally published on Towards AI. Develop a basic understanding of risk analytics and understand how data is used to minimize the risk of losing money Photo by Dmitry Demidko on Unsplash Introduction LendingClub is a US peer-to-peer lending company …
Handling Mislabeled Tabular Data to Improve Your XGBoost Model
Author(s): Chris Mauck Originally published on Towards AI. Reduce prediction errors by 70% using data-centric techniques. “Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. In …
Using ChatGPT to understand Microsoft’s VALL-E — Neural Codec Language Model Paper
Author(s): Ana Bildea Originally published on Towards AI. Using ChatGPT as a personal assistant to understand scientific papers image generated by the author using Nightcafe. In my previous article, I discussed how ChatGPT could assist in designing your text prompt. In this …
Automate PowerPoint Presentation Report with Python
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Automate the report instead of manually adoption Photo by Nghia Nguyen on Unsplash Data people and business people are always working together hand-to-hand. One of the common activities between data people and business …
How to Anonymize Faces in Images with Deep Learning and Computer Vision
Author(s): Edwin Tan Originally published on Towards AI. Photo by Alexandra Gorn on Unsplash Face blurring is a technique used to anonymize the identity of a person in an image or video by pixelating or covering the face with a blur effect. …
How I cleared AWS Machine Learning Specialty With Three Weeks of Preparation (I will burst some myths of the online exam)
Author(s): Himanshu Joshi Originally published on Towards AI. How I prepared for the test, my emotional journey during preparation, and my actual exam experience Certified AWS ML Specialty Badge source Introduction:- I recently gave and cleared AWS ML certification on 29th Dec …
From Garbage In to Gold Out: Understanding Denoising Autoencoders
Author(s): Anay Dongre Originally published on Towards AI. A denoising autoencoder (DAE) is a type of autoencoder neural network architecture that is trained to reconstruct the original input from a corrupted or noisy version of it. Don’t confuse my drawing skills with …
Bentoml vs. Fastapi: The Best ML Model Deployment Framework and Why It's Bentoml
Author(s): Bex T. Originally published on Towards AI. A detailed comparison between BentoML and FastAPI for machine learning model deployment. Top highlight Photo by Sebastian Pichard What am I even talking about? According to StackOverflow 2022 Developer Survey, FastAPI just became one …
Taking Into Account Temporal Aspects of Machine Learning Apps
Author(s): Ori Abramovsky Originally published on Towards AI. Temporal features require special handling, from how to split the training population to the way to define the task at hand. In some cases, it can even mean overfitting on purpose. Photo by Eunice …
How do the text2image Models Work?
Author(s): Anton Lebedev Originally published on Towards AI. You probably have heard about Dalle-2, Midjourney, and Stable Diffusion. These are models that generate images from text. Recently, they have advanced to the point where artists are protesting by putting pictures with calls …
AI-Generated Content: Catch Me if You Can
Author(s): The Tech Insider Originally published on Towards AI. Identifying AI-created text Image: Author, made with midjourney Yesterday, I received an exciting message from Scott Lamb, Medium’s Vice President of Content — and let me tell you, it was an email that …
Kickstart Your Data Science Career with this Comprehensive and Easy-to-Follow Roadmap
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Whether you’re a recent graduate or a professional looking to make a career change, the field of Data Science and AI offers a wide range of exciting and lucrative opportunities. In …
Unboxing the Concept of Drift in Machine Learning
Author(s): Supreet Kaur Originally published on Towards AI. Machine Learning Drift is a common phenomenon that occurs once the machine learning algorithm is deployed to production. It can adversely affect the overall performance of your machine-learning model if not monitored closely and …
How is ChatGPT ruining blog-writing
Author(s): Alexandros Zenonos, PhD Originally published on Towards AI. The damage to medium authors, and what can we do about it? Photo by DeepMind on Unsplash As technology continues to advance, we are seeing more and more ways in which AI is …
Sales Prediction| Using Time Series| End-to-End Understanding| Part -2
Author(s): Yashashri Shiral Originally published on Towards AI. Sales PredictionU+007C Using Time SeriesU+007C End-to-End UnderstandingU+007C Part -2 Sales Forecasting determines how the company invests and grows to create a massive impact on company valuation. This is part 2, and you will learn …
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