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10 GitHub Repositories to Master Large Language Models
Master LLMs through books, courses, tutorials, exercises, projects, and comprehensive guides that cover everything from foundational concepts to advanced techniques.
Published on: May 12, 2025 | Source:
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The Essential Data Cleaning Playbook: Tutorials, Tips, and Must-Read Guides
Struggling with messy datasets? This playbook is your one-stop resource packed with hands-on tutorials, expert tips, and guides to help you clean your data like a pro.
Published on: May 12, 2025 | Source:5 Expert Tips for Excelling with NotebookLM
Looking to get the most out of NotebookLM? These five expert tips will help you use it better and improve your productivity.
Published on: May 12, 2025 | Source:What My GPT Stylist Taught Me About Prompting Better
Inside the Strange Behavior of LLMs The post What My GPT Stylist Taught Me About Prompting Better appeared first on Towards Data Science.
Published on: May 10, 2025 | Source:Log Link vs Log Transformation in R โ The Difference that Misleads Your Entire Dataย Analysis
Although normal distributions are the most commonly used, a lot of real-world data unfortunately is not normal. When faced with extremely skewed data, itโs tempting for us to utilize log transformations to normalize the distribution and stabilize the variance. I recently worked on a project analyzing the energy consumption of training AI models, using data [โฆ] The post Log Link vs Log Transformation in R โ The...
Published on: May 09, 2025 | Source:A Review of AccentFold: One of the Most Important Papers on Africanย ASR
AccentFold tackles a specific issue many of us can relate to: current ASR systems just donโt work well for African-accented English. And itโs not for lack of trying. The post A Review of AccentFold: One of the Most Important Papers on AfricanASR appeared first on Towards Data Science.
Published on: May 09, 2025 | Source:Time Series Forecasting Made Simple (Part 2): Customizing Baseline Models
From simple averages to blended strategies, this part builds a foundation for better forecasting models. The post Time Series Forecasting Made Simple (Part 2): Customizing Baseline Models appeared first on Towards Data Science.
Published on: May 09, 2025 | Source:How Not to Write an MCP Server
Five hard lessons learned from my first attempt at leveraging the new MCP technology, a short developerโs diary The post How Not to Write an MCP Server appeared first on Towards Data Science.
Published on: May 09, 2025 | Source:Custom Python Decorator Patterns Worth Copy-Pasting Forever
Tired of rewriting boilerplate code? These copy-ready custom decorators are reusable patterns that belong in every developerโs toolkit.
Published on: May 09, 2025 | Source:Creating a Qwen-Powered Lightweight Personal Assistant
The
Published on: May 09, 2025 | Source:7 Python Debugging Techniques Every Beginner Should Know
Learn these 7 debugging moves and youโll laugh at your old error messages.
Published on: May 09, 2025 | Source:Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health
How understanding the timing of meals using machine learning can support preventive healthcare The post Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health appeared first on Towards Data Science.
Published on: May 09, 2025 | Source:Model Compression: Make Your Machine Learning Models Lighter and Faster
A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks more efficient and easier to deploy. The post Model Compression: Make Your Machine Learning Models Lighter and Faster appeared first on Towards Data Science.
Published on: May 09, 2025 | Source:ACP: The Internet Protocol for AI Agents
ACP aims to be the "HTTP of agent communication,โ transforming our current landscape of siloed agents into interoperable agentic systems. The post ACP: The Internet Protocol for AI Agents appeared first on Towards Data Science.
Published on: May 09, 2025 | Source:The Dangers of Deceptive Data Part 2โBase Proportions and Bad Statistics
An accessible dive into correlation, base proportions, summary statistics, and uncertainty. The post The Dangers of Deceptive Data Part 2โBase Proportions and Bad Statistics appeared first on Towards Data Science.
Published on: May 09, 2025 | Source:The Shadow Side of AutoML: When No-Code Tools Hurt More Than Help
Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation into an architectural risk. The post The Shadow Side of AutoML: When No-Code Tools Hurt More Than Help appeared first on Towards Data Science.
Published on: May 08, 2025 | Source:Pharmacy Placement in Urban Spain
Identify spatial gaps in the urban pharmacy network suitable for the installation of new pharmacies, while adhering to legal requirements on minimum distance between establishments, using geospatial tools such as OSMnx and NetworkX. The post Pharmacy Placement in Urban Spain appeared first on Towards Data Science.
Published on: May 08, 2025 | Source:STAR Doesnโt Work: How to Answer Behavioral Questions as a Data Scientist
STAR isnโt suitable for technical jobs, so how do you answer behavioral interview questions while still showing youโre a data scientist?
Published on: May 08, 2025 | Source:Attention May Be All We Needโฆ But Why?
A lot (if not nearly all) of the success and progress made by many generative AI models nowadays, especially large language models (LLMs), is due to the stunning capabilities of their underlying architecture: an advanced deep learning-based architectural model called the
Published on: May 08, 2025 | Source:Getting Started With a Career in Data Science
Breaking into data science has never been easy. In this tutorial, weโll make your life easier by providing you with a step-by-step roadmap for data science beginners.
Published on: May 08, 2025 | Source:Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents
Automate Excel Documentation with AI: Leveraging OpenPyxl and Generative AI to create data dictionaries. Learn how to harness AI agents to add column descriptions and metadata to your Excel files, boosting transparency and collaboration. The post Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents appeared first on Towards Data Science.
Published on: May 08, 2025 | Source:A Practical Guide to BERTopic for Transformer-Based Topic Modeling
A deep dive into BERTopicโs 6 modules to transform financial news into insightful topics The post A Practical Guide to BERTopic for Transformer-Based Topic Modeling appeared first on Towards Data Science.
Published on: May 08, 2025 | Source:Real-Time Interactive Sentiment Analysis in Python
How to visualize sentiment using a procedural smiley face in Python with OpenCV and Tkinter The post Real-Time Interactive Sentiment Analysis in Python appeared first on Towards Data Science.
Published on: May 08, 2025 | Source:Uh-Uh, Notย Guilty
Who will take the blame for AI mistakes, and what can you do aboutit? The post Uh-Uh, NotGuilty appeared first on Towards Data Science.
Published on: May 08, 2025 | Source:From RGB to HSV โ and Back Again
A practical introduction to color spaces with Python and OpenCV The post From RGB to HSV โ and Back Again appeared first on Towards Data Science.
Published on: May 07, 2025 | Source:3 Excellent Practical Generative AI Courses
Learn to build AI agents, fine-tune reasoning models, and master practical AI skills with these courses.
Published on: May 07, 2025 | Source:Building Fun Projects with OpenAI Codex
Build a website using a screenshot, analyze a CSV file to generate insights, and create an image classification application with a custom UI.
Published on: May 07, 2025 | Source:Creating a Secure Machine Learning API with FastAPI and Docker
Machine learning models deliver real value only when they reach users, and APIs are the bridge that makes it happen.
Published on: May 07, 2025 | Source:Regression Discontinuity Design: How It Works and When to Use It
From core ideas to real-world analysis โ how RDD causal inference works, how to run it, and how to get it right. The post Regression Discontinuity Design: How It Works and When to Use It appeared first on Towards Data Science.
Published on: May 07, 2025 | Source:We Need a Fourth Law of Robotics in the Age of AI
Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries, and reshaping how we communicate. Yet, alongside its undeniable benefits, AI has also ignited a range of ethical and social dilemmas that our existing regulatory frameworks have struggled to address. Two tragic incidents from late 2024 serve as grim reminders [โฆ] The post We Need a Fourth...
Published on: May 07, 2025 | Source:Retrieval Augmented Classification: Improving Text Classification with External Knowledge
When and How to best use LLMs as text classifiers The post Retrieval Augmented Classification: Improving Text Classification with External Knowledge appeared first on Towards Data Science.
Published on: May 07, 2025 | Source:How I Built Business-Automating Workflows with AIย Agents
How I make money helping businesses boost their productivity and cut costs by automating supply chain analytics workflows using n8n. The post How I Built Business-Automating Workflows with AIAgents appeared first on Towards Data Science.
Published on: May 07, 2025 | Source:Zero-Shot and Few-Shot Learning with Reasoning LLMs
As large language models have already become essential components of so many real-world applications, understanding how they reason and learn from prompts is critical.
Published on: May 06, 2025 | Source:Automate Dataset Labeling with Active Learning
A few years ago, training AI models required massive amounts of labeled data.
Published on: May 06, 2025 | Source:The Total Derivative: Correcting the Misconception of Backpropagationโs Chain Rule
What you think you know about backpropagation might be wrong. The post The Total Derivative: Correcting the Misconception of Backpropagationโs Chain Rule appeared first on Towards Data Science.
Published on: May 06, 2025 | Source: