Boost Your Data Science, ML, and CV Projects: Essential Tools for Effective Project Management
Author(s): Chinmay Bhalerao Originally published on Towards AI. Make your builds and projects faster with these tools Photo by Eden Constantino on Unsplash ML or data science projects are very huge to build as they contain many types of files and many …
Fixing SimCLR’s Biggest Problem — BYOL Paper Explained
Author(s): Boris Meinardus Originally published on Towards AI. How BYOL introduced the new SOTA idea of all modern Self Supervised Learning frameworks. SimCLR successfully implemented the idea of Contrastive Learning and, back then, achieved a new state-of-the-art performance! Nevertheless, the idea has …
Are We Headed for an AI-Driven Generational Hunger Games?
Author(s): Cezary Gesikowski Originally published on Towards AI. How ChatGPT Could Redefine the Workplace for Boomers, Gen Xers, Millennials, Gen Z, and Rising Gen Alpha Each new generation born is in effect an invasion of civilization by little barbarians, who must be …
Inside StarCoder: The New Open Source LLM that Can Generative Code in Over 80 Programming Languages
Author(s): Jesus Rodriguez Originally published on Towards AI. The new project is part of the BigCode initiative by Hugging Face and ServiceNow. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS …
Simple Data Application Building with Taipy: Stock Portfolio Tutorial
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Learn how to build a full-stack Python-based application with minimum code. Photo by Yiorgos Ntrahas on Unsplash Building applications has never been easier in this current era. With many open-source Python packages available, …
Deep Learning from Scratch in Modern C++: Cost Functions
Author(s): Luiz doleron Originally published on Towards AI. Let’s have fun by implementing Cost Functions in pure C++ and Eigen. In machine learning, we usually model problems as functions. Therefore, most of our work consists of finding ways to approximate functions using …
Mastering These 5 Statistics Concepts Will Boost Your Success in Data Science Interviews
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Top highlight Data science is a rapidly growing field that involves the extraction of valuable insights from large and complex data sets. As more and more companies adopt data-driven decision-making strategies, …
From Synonyms to GPT-3: The Ultimate Guide to Text Augmentation for Improving Minority Class Labels in NLP
Author(s): Harshmeet Singh Chandhok Originally published on Towards AI. Image by vectorjuice on Freepik “In NLP, we often encounter problems related to class imbalance, where minority classes are underrepresented in the training data. Text augmentation techniques can help address this issue, improving …
Applying Exponential Smoothing for Accurate Time Series Forecasts
Author(s): David Andres Originally published on Towards AI. 1. Simple Exponential Smoothing Source: Image by euzepaulo on Unsplash Exponential Smoothing is a great method to predict future events based on past experiences. It’s especially handy when you’re dealing with a single type …
How to Design, Build and Publish a Python package?
Author(s): Prithivee Ramalingam Originally published on Towards AI. With Poetry What is a Package? In Python, a package organizes related modules (Python files) into a single hierarchical structure. Packages allow you to easily manage and reuse code across multiple projects and make …
The Surprising End of the AI Gigantic Model Era: Why Bigger Isn’t Always Better
Author(s): Cezary Gesikowski Originally published on Towards AI. OpenAI’s Sam Altman on why we need new ideas, not just bigger models, for AI’s future “We are not here to like *erk ourselves off about parameter counts.”—Sam Altman Image by the author: Large …
Summarising 3 Years of Google Colab Usage — The Good, the Bad, and The Ugly
Author(s): Ori Abramovsky Originally published on Towards AI. Meme generated by the author using imgflip.com The first time I met Google’s Colab was when we searched for a serverless solution to train our models. Until that point, our models were of a …
How to Get a Taste of Everything: Sampling Techniques
Author(s): Roli Trivedi Originally published on Towards AI. Mastering the art: Tips and tricks for successful sampling Photo by Natalia Gusakova on Unsplash Sampling is the process of selecting a subset(sample) from the population. It is done to get information about a …
Grounding DINO: Achieving SOTA Zero-Shot Learning Object Detection
Author(s): Rohini Vaidya Originally published on Towards AI. Enabling Robust and Flexible Detection of Novel Objects without Extensive Retraining or Data Collection The lack of flexibility is a major challenge with most object detection models as they are specifically trained to recognize …
PandasAI — Pandas Newborn child from ChatGPT
Author(s): Gencay I. Originally published on Towards AI. Revolutionizing Data Analysis with PandasAI: OpenAI’s Latest Innovation Uniting Machine Learning, Pandas, and ChatGPT Technology Image by Author — Created in Canvas and Dell E2 PandasAI is a new library that merges the power …