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7 Cool Python Projects to Automate the Boring Stuff
Get more done in less time with these 7 beginner-friendly Python automation projects that tackle everyday annoyances.
Published on: June 09, 2025 | Source:
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Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value
What actually works with AI agents inside enterprise organizations? The post Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value appeared first on Towards Data Science.
Published on: June 06, 2025 | Source:Prescriptive Modeling Unpacked: A Complete Guide to Intervention With Bayesian Modeling.
Learn how to move beyond prediction and actively make intervention through prescriptive modeling. This in-depth guide walks you through Bayesian approaches to system intervention, with practical examples in predictive maintenance. The post Prescriptive Modeling Unpacked: A Complete Guide to Intervention With Bayesian Modeling. appeared first on Towards Data Science.
Published on: June 06, 2025 | Source:5 Error Handling Patterns in Python (Beyond Try-Except)
Stop letting errors crash your app. Master these 5 Python patterns that handle failures like a pro!
Published on: June 06, 2025 | Source:How I Automated My Machine Learning Workflow with Just 10 Lines ofΒ Python
Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance. The post How I Automated My Machine Learning Workflow with Just 10 Lines ofPython appeared first on Towards Data Science.
Published on: June 06, 2025 | Source:The Role of Luck in Sports: Can We Measure It?
From last-minute goals to coin tosses: How much does randomness influence the outcomes of games? The post The Role of Luck in Sports: Can We Measure It? appeared first on Towards Data Science.
Published on: June 06, 2025 | Source:Why AI Projects Fail
No one agrees on the exact number, but estimates say anywhere from 50% to 80% of AI projects end in failure. The post Why AI Projects Fail appeared first on Towards Data Science.
Published on: June 06, 2025 | Source:5 Crucial Tweaks That Will Make Your Charts Accessible to People with Visual Impairments
More than 350 million people are colorblind - Make sure they can read your visualizations. The post 5 Crucial Tweaks That Will Make Your Charts Accessible to People with Visual Impairments appeared first on Towards Data Science.
Published on: June 06, 2025 | Source:10 Awesome OCR Models for 2025
Stay ahead in 2025 with the latest OCR models optimized for speed, accuracy, and versatility in handling everything from scanned documents to complex layouts.
Published on: June 06, 2025 | Source:Dealing with Missing Data Strategically: Advanced Imputation Techniques in Pandas and Scikit-learn
Missing values appear more often than not in many real-world datasets.
Published on: June 06, 2025 | Source:WTF is GRPO?!?
This article unveils what GRPO is and explains how it works in the context of LLMs, using a simpler and understandable narrative.
Published on: June 05, 2025 | Source:Loss Functions Explained: Understand the Maths in Just 2 Minutes Each
I must say, with the ongoing hype around machine learning, a lot of people jump straight to the application side without really understanding how things work behind the scenes.
Published on: June 05, 2025 | Source:Get Ready for Your Next Career Move
Are you planning to switch roles in the near future? On the lookout for your first data science or machine learning position? Regardless of yourcareer stage, change and growth are likely on your mind β and weβre here to help. At the core of this weekβs Variable are articles that center the skills and knowledge [β¦] The post Get Ready for Your Next Career Move appeared first on Towards Data Science.
Published on: June 05, 2025 | Source:10 MLOps Tools for Machine Learning Practitioners to Know
Machine learning is not just about building models.
Published on: June 05, 2025 | Source:Top 5 Alternative Data Career Paths and How to Learn Them for Free
How about some alternative options for a data career? Learn about five non-standard career paths, required skills, and how to learn them for free.
Published on: June 05, 2025 | Source:The Journey from Jupyter to Programmer: A Quick-Start Guide
Explore the real benefits of ditching the notebook The post The Journey from Jupyter to Programmer: A Quick-Start Guide appeared first on Towards Data Science.
Published on: June 04, 2025 | Source:Building a Modern Dashboard with Python and Gradio
Data insights made simple The post Building a Modern Dashboard with Python and Gradio appeared first on Towards Data Science.
Published on: June 04, 2025 | Source:Unlocking Your Data to AI Platform: Generative AI for Multimodal Analytics
The direct integration of AI-powered SQL operators and support for references to arbitrary files in object stores with mechanisms like ObjectRef represent a fundamental shift in how we interact with data.
Published on: June 04, 2025 | Source:Mixedbread Cloud: A Unified API for RAG Pipelines
Explore this unified API for file uploading, document parsing, embedding models, vector store, and a retrieval pipeline.
Published on: June 04, 2025 | Source:10 Generative AI Key Concepts Explained
In this article we explore 10 generative AI concepts that are key to understanding, whether you are an engineer, user, or consumer of generative AI.
Published on: June 04, 2025 | Source:NumPy Ninjutsu: Mastering Array Operations for High-Performance Machine Learning
Machine learning workflows typically involve plenty of numerical computations in the form of mathematical and algebraic operations upon data stored as large vectors, matrices, or even tensors β matrix counterparts with three or more dimensions.
Published on: June 04, 2025 | Source:Data Drift Is Not the Actual Problem: Your Monitoring Strategy Is
Monitoring is easy; what to monitor is not. In the field of machine learning, data drift is just noise until you know what it means. The post Data Drift Is Not the Actual Problem: Your Monitoring Strategy Is appeared first on Towards Data Science.
Published on: June 03, 2025 | Source:Reducing Time to Value for Data Science Projects: Part 2
Leveraging automation and parallelism to scale out experiments The post Reducing Time to Value for Data Science Projects: Part 2 appeared first on Towards Data Science.
Published on: June 03, 2025 | Source:Landing your First Machine Learning Job: Startup vs Big Tech vs Academia
A practical guide to landing your first Machine Learning job across startups, big tech, and academia. The post Landing your First Machine Learning Job: Startup vs Big Tech vs Academia appeared first on Towards Data Science.
Published on: June 03, 2025 | Source:Decision Trees Natively Handle Categorical Data
But mean target encoding is their turbocharger The post Decision Trees Natively Handle Categorical Data appeared first on Towards Data Science.
Published on: June 03, 2025 | Source:How to Design My First AI Agent
The foundations of designing an AI agent The post How to Design My First AI Agent appeared first on Towards Data Science.
Published on: June 03, 2025 | Source:Advanced audio dialog and generation with Gemini 2.5
Gemini 2.5 has new capabilities in AI-powered audio dialog and generation.
Published on: June 03, 2025 | Source:7 Cognitive Biases That Affect Your Data Analysis (and How to Overcome Them)
What are the most important cognitive biases, and how do you overcome them to make your data analysis as objective as possible?
Published on: June 03, 2025 | Source:Building Data Science Projects Using AI: A Vibe Coding Guide
Vibe code your way to data science portfolio projects that stand out.
Published on: June 03, 2025 | Source:10 Python One-Liners That Will Simplify Feature Engineering
Feature engineering is a key process in most data analysis workflows, especially when constructing machine learning models.
Published on: June 03, 2025 | Source:Implementing Machine Learning Pipelines with Apache Spark
Machine learning pipelines help turn data into predictions. Apache Spark makes it easy to build these pipelines for big data.
Published on: June 03, 2025 | Source:LLMs + Pandas: How I Use Generative AI to Generate Pandas DataFrame Summaries
Local Large Language Models can convert massive DataFrames to presentable Markdown reports β here's how. The post LLMs + Pandas: How I Use Generative AI to Generate Pandas DataFrame Summaries appeared first on Towards Data Science.
Published on: June 03, 2025 | Source:Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning
Itβs like grading papers, but your student is an LLM The post Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning appeared first on Towards Data Science.
Published on: June 02, 2025 | Source:Vision Transformer on a Budget
Introduction The vanilla ViT is problematic. If you take a look at the original ViT paper [1], youβll notice that although this deep learning model proved to work extremely well, it requires hundreds of millions of labeled training images to achieve this.Well, thatβs a lot. This requirement of an enormous amount of data is definitely [β¦] The post Vision Transformer on a Budget appeared first on Towards Data Science.
Published on: June 02, 2025 | Source:Inside Googleβs Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other
Exploring how Google's A2A enables plug-and-play communication between LLM-powered agents across frameworks The post Inside Googleβs Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other appeared first on Towards Data Science.
Published on: June 02, 2025 | Source: