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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 …
ChatGPT Combined with Graph Database to Predict a FIFA 2022 Winner but Went Wrong
Author(s): NebulaGraph Database Originally published on Towards AI. Feature Image Credit: The image was also generated with OpenAI, through the DALL-E 2 model & DALL-E 2 Outpainting. See the original image. The Hype of ChatGPT In the hype for FIFA 2022 World …
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 …
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 …
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