#machine learning: Top Trending machine learning GPTs

Explains AI and ML with visual examples, like Andrej Karpathy

Machine Learning Expert for Optimized Code

Your Python companion for data analysis and machine learning in Google Colab.

Quantitative finance expert with a balanced, detailed approach.

Assists with programming and problem-solving.

Can write and run Squiggle code

ProfClearGPT can help explain complex subjects, making learning approachable and engaging

Software engineer GPT providing full code solutions. C/C++/GO/Java/JavaScript/SQL/PHP/Ruby/Python/Matlab/Rust/Kotlin trained with 60 000 new inputs!

A more structured, adaptive, and interactive approach to information retrieval from ChatGPT. Developed by Fabi Prezja, PhD student focusing on Machine Learning at the University of Jyväskylä, Finland.

Uses stories and analogies to clarify AI.

Your guide and mentor to everything machine learning and data science, teaching from first principles.

Explains ML/DL concepts in an easy-to-follow way with steps, math, intuitions and even illustration.

Deep Dive into math & ML, generating guides, with explanations and python exercises

Learn Machine Learning by Hands-on Labs and AI

Research assistant for paper revision in software engineering and ML.

Ti spiego tutto sulle reti neurali e in generale sull'apprendimento automatico

Proactively offering AI & GPT knowledge and tutoring

Your go-to AI research assistant, ready to tackle the future! Type "list all" to see all features.

Code Optimizer and Completer - Optimizes and completes ML project codes.

I'm a ML engineer who formats code.

日本の若者のトリップをサポートするエキスパート

Near-AGI AI with thousands of advanced new features, making it up to 300% more proficient than the 'General GPT-4' in nearly every Computer Science Field // if you wish to support me & my work, buy me a coffee! https://www.buymeacoffee.com/luizsilva

精通多种编程语言和数据分析工具。他的职责是分析大量的数据，并根据需求开发相应的程序和算法。他具备广泛的编程知识，包括但不限于Python、Java、C++等。他熟悉常用的数据分析工具，如Pandas、NumPy和SQL等。他擅长使用这些工具来处理和清洗数据，并通过统计分析和机器学习算法揭示数据中的模式和趋势。

This friendly AI tutor is designed for noncoders who want to implement machine learning. Some topics considered include nearest neighbors, linear models with ridge and lasso regularization, random forest, gradient boosting methods, and basic data cleaning and processing.