Machine Learning Roadmap — Part 1: Personal Recommendations for Beginners
Author(s): Akhil Theerthala Originally published on Towards AI. Photo by delfi de la Rua / Unsplash Recently, we have seen a boom in Generative AI-the fantastic responses from ChatGPT, the mind-blowing images from Adobe Firefly, Midjourney and Dall-E, the announcement of "Soundstorm" …
High-Speed Inference with llama.cpp and Vicuna on CPU
Author(s): Benjamin Marie Originally published on Towards AI. You don’t need a GPU for fast inference A vicuna — Photo by Parsing Eye on Unsplash For inference with large language models, we may think that we need a very big GPU or …
What Sets GENSIM Apart from Other NLP Tools: A Comprehensive Guide
Author(s): Tushar Aggarwal Originally published on Towards AI. {This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of GENSIM} by Tushar-Aggarwal.com The GENSIM library is an open-source package that provides an efficient and …
Stop Creating Boring Vanilla Plots — Use Matplotlib Annotations Instead
Author(s): Bex T. Originally published on Towards AI. Be a pro and stand out Image by me with Midjourney Every single tutorial or course I took did not care to spend more than 5 minutes explaining annotations in Matplotlib. If I googled …
3 Open-Source Python Packages to Track Data Science Experiments
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Log your important information with these packages. Photo by Kelly Sikkema on Unsplash Experimentation is at the heart of the data science process, as the activity defines the science of data science. It …
How to Write More Pythonic Functions That Are a Delight to Others and IDEs
Author(s): Bex T. Originally published on Towards AI. Function writing is a skill — take the first step to master it Image by me with Midjourney Ever wondered why 99% of programmers write code in English? Why not in Chinese or Russian …
Data Lifecycle in Production: Defining and Collecting useful data.
Author(s): Akhil Theerthala Originally published on Towards AI. Photo by Mika Baumeister / Unsplash Recently, I have worked on an MLOps series, where I briefly discussed the different steps involved in the lifecycle of a Machine learning project. We started with the …
GPT-4: 8 Models in One; The Secret is Out
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. GPT4 kept the model secret to avoid competition, now the secret is out! Top highlight The GPT4 model has been THE groundbreaking model so far, available to the general public either …
Create a Stunning Documentation for Your Plotly Dash App with MkDocs
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Take your documentation to the next level Photo by Carlos Perez on Unsplash Our experience has shown that software projects are often insufficiently documented. But why? Most software projects have a limited …
A Detailed Tutorial on Polynomial Regression in Python, Overview, Implementation, and Overfitting
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. Complete code in Python Photo by Joshua Reddekopp on Unsplash I have been writing tutorials on Machine learning, deep learning, data visualization, analysis, and statistics for some time. But I realized I didn’t …
5 Things I Learned From Berlin Buzzwords 2023
Author(s): ___ Originally published on Towards AI. Exploring the World of Search — Insights from E-commerce Infrastructure to Effective Technical Communication Berlin Buzzwords is a conference held in Germany that centers around the intricate dynamics of storing, processing, streaming, and exploring vast …
5 Questions I Wish I Had the Answer to Before Interviewing for Data Science Positions
Author(s): Clément Delteil Originally published on Towards AI. Why interviewing for Data Science positions is like riding a roller-coaster. Photo by James Butterly on Unsplash You spent hours polishing your cover letter to match the job post. You made your friends proofread …
NumPy Guide: Super Simple Way to Learn it in 10 Minutes
Author(s): Gencay I. Originally published on Towards AI. Demystifying NumPy: Master the Basics of Python’s Powerful Array Library in 10 Minutes Created in LeonardoAi Here’s why you should learn NumPy: it’s a crucial library for data science and numerical computing in Python. …
Don’t Overcomplicate Data Science Projects! Do these instead!
Author(s): Gencay I. Originally published on Towards AI. Simplifying Data Science Projects: A Strategic Approaches from Python to other tools Created in LeonardoAi Isn’t it time you stopped overcomplicating your data science projects? Many individuals and teams fall into the trap of …
Tackling Imbalanced Data Using imbalanced-learn, Part 1: Under-Sampling
Author(s): Christian Kruschel Originally published on Towards AI. In the field of machine learning, working with imbalanced datasets can present a significant challenge. Imbalanced data occurs when the distribution of classes in the dataset is uneven, with one class being dominant compared …
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