This Article is Bipolar: Role of AI in Education.
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. An article that is either a visionary piece or complete fluff. Depending upon who you are, you will either agree with or end up discarding this article as garbage. There is …
TensorFlow OCR Model for Reading Captchas
Author(s): Rokas Liuberskis Originally published on Towards AI. Training a Custom OCR for Captcha Image Text Extraction with TensorFlow and CTC Loss Function: A Step-by-Step Guide. Using the mltu Library to Simplify the Process https://www.youtube.com/embed/z_6P0PilBmM The Most Advanced Data Science Roadmaps You’ve …
YouTube Dislikes Prediction in Real-time — Working With a Combination of Data; A Practical Guide
Author(s): Nafiu Originally published on Towards AI. Hi everyone, this is a practical guide to a fascinating topic; today, we will discuss how you can work with a combination of mixed data. Well, we have all gone through it when we go …
2022: A Year Full of Amazing AI papers — A Review 🚀
Author(s): Louis Bouchard Originally published on Towards AI. A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. While the world is still recovering, research hasn’t slowed …
How is Google Aiming At a Trillion Parameter Model (PaLM): Page-by-Page Review
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. PATHWAYS: ASYNCHRONOUS DISTRIBUTED DATAFLOW FOR ML and Scaling Language Modeling with Pathways This time I was going to deviate from a usual 1 paper 1 review approach to 2 papers 1 …
EHR-Safe by Google: A High-Fidelity and Privacy-Preserving Synthetic Data Framework: Page by Page Research Review
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records https://doi.org/10.21203/rs.3.rs-2347130/v1 Privacy concerns often arise as the key bottleneck for the sharing of data between consumers and data holders, particularly for sensitive …
Foundation Models and the Path Towards a Universal Learning Algorithm
Author(s): Jesus Rodriguez Originally published on Towards AI. Can foundation models validate the theory of a master algorithm for all human knowledge? Created with: DALL-E I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS …
Logistic Regression Math Intuitions
Author(s): Fernando Guzman Originally published on Towards AI. Logistic regression is a supervised machine learning algorithm to create models used for binary classification problems conventionally. Even that in its name, it says regression. This algorithm is used to train models for classification …
Key Takeaways For Successful Transition To Data Science From My Journey
Author(s): Himanshu Joshi Originally published on Towards AI. Taking the leap of faith -Photo by Joshua Earle on Unsplash I am a Lead Data Scientist at a Service based IT company with 11+ years of professional experience. I am a self-taught Data …
Data Warehouse Concepts; Architecture; Data Warehouse vs. Database; OLAP vs. OLTP
Author(s): Muttineni Sai Rohith Originally published on Towards AI. Data Warehouse is an information system that contains historical and commutative data from single or multiple sources. It is a centralized storage system that allows storing, analyzing, and interpretation of data in order …
Data Structures: How Computers Store and Organize Data — The Backbone
Author(s): SPX Originally published on Towards AI. Top highlight Image Source Data in computer systems is essentially any type of information that can be processed and stored by a computer. This can include numbers, letters, sounds, images, and more. In order to …
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 …