Access GPT-4 for Free through these 4 Tools
Author(s): Youssef Hosni Originally published on Towards AI. Unlock the Power of GPT-4: Access for Free with These 3 Essential Tools Top highlight In the realm of artificial intelligence (AI), GPT-4 stands tall as a powerful language model capable of astonishing feats. …
17 Pandas Trick I wish I knew Before(As a Data Scientist)
Author(s): Gencay I. Originally published on Towards AI. Mastering Python’s Pandas: Unlock Seventeen Essential Tricks to Supercharge Your Data Science Journey Image generated with LeonardoAI Are you finding yourself drowning in an ocean of data? Are complex datasets a riddle you can’t …
How to Move Your Data Science Project to Production
Author(s): Angelica Lo Duca Originally published on Towards AI. A tutorial on using GitLab to make your data science project production-ready Photo by Arshad Pooloo on Unsplash If you are a data scientist, you know that the real challenge isn’t building a …
10 Biggest Mistakes in Machine Learning and How to Avoid Them
Author(s): Nick Minaie, PhD Originally published on Towards AI. Your Guide to Becoming a Better Data Scientist Machine learning has revolutionized various industries by enabling computers to learn from data and make intelligent decisions. However, in the journey of building machine learning …
Machine Learning: The First Step is to Understand Simple Linear Regression
Author(s): Dede Kurniawan Originally published on Towards AI. Mastering Simple Linear Regression in Python without a Lot of Math Photo by Andrea Piacquadio on Pexels In the machine learning universe, who doesn’t know about linear regression? Of course, everyone knows about it. …
Making Models Smart: GPT-4 and Scikit-Learn
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to the seamless integration of ChatGPT-4 with Scitkit-Learn Image by Author with @MidJourney ChatGPT has allowed for convenient and efficient approaches to constructing text classification models. Scikit-learn is the conventional library …
Transformer Tune-up: Fine-tune XLNet and ELECTRA for Deep Learning Sentiment Analysis (Part 3)
Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. Winner: XLNet with ELECTRA a very close runner-up Image created by the author + Stable Diffusion · Introduction· Fine-tuning XLNet NLP model for sentiment analysis with PyTorch· Fine-tune an NLP ELECTRA model with PyTorch· …
Explainable and Interpretable Models are Important in Machine Learning
Author(s): Suhas Maddali Originally published on Towards AI. Learn to use libraries such as LIME, SHAP and others to determine the workings of black-box machine learning models with examples and illustrations, ensuring that they are safe, fair and have less bias Photo …
Trend Modeling in Time Series Forecasting with Facebook Prophet
Author(s): David Andres Originally published on Towards AI. How does Prophet deal with changes in trend? Photo by Cristian Escobar on Unsplash Classical time series forecasting techniques rely on statistical models that require a significant amount of effort to fine-tune and tailor …
Poetry: Python Dependency Management Like a Pro
Author(s): Janik and Patrick Tinz Originally published on Towards AI. A guide with a practical example Photo by Danial Igdery on Unsplash Do you often have problems with dependencies in your Python projects? Then, Poetry offers a solution for you. Poetry is …
A Structured Guide For Plotting With Matplotlib
Author(s): Ali Originally published on Towards AI. Learn to create data visualization from raw numbers in this article Photo by Monstera: https://www.pexels.com/photo/loupe-and-smartphone-with-compass-on-maps-7412068/ Data visualization is crucial in the domain of machine learning and data science. It allows you to uncover data patterns …
Transformer Tune-up: Fine-tune BERT for State-of-the-art sentiment Analysis Using Hugging Face
Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. BERT Transformer Source: Image created by the author + Stable Diffusion (All Rights Reserved) In the context of machine learning and NLP, a transformer is a deep learning model introduced in a paper titled …
In-depth Explanation of Compiler and Interpreter in Python
Author(s): Amit Chauhan Originally published on Towards AI. Understand the basics of software development tools Image by the Author High-level languages are designed to be more human-readable and programmer-friendly. They provide a higher level of abstraction from the underlying hardware and are …
SaMD? We need AaMD! The Algorithm as A Medical Device
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Software as a Medical Device (SaMD) is a class of medical software that is intended to be used for one or more medical purposes without being part of a hardware medical …
Mastering Sentiment Analysis with Python using the Attention Mechanism
Author(s): The AI Quant Originally published on Towards AI. Businesses across industries now recognize the importance of understanding customer opinions and sentiments. By gauging the sentiment behind product reviews, brand mentions, and service feedback, companies can gain vital insights into customer satisfaction, …
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