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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UX7 βUselessβ Python Standard Library Functions You Should Know
These oddball Python functions might seem pointless... until you realize how surprisingly useful they really are.
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Quantization in Machine Learning: 5 Reasons Why It Matters More Than You Think
Quantization might sound like a topic reserved for hardware engineers or AI researchers in lab coats.
When Predictors Collide: Mastering VIF in Multicollinear Regression
Explore how the Variance Inflation Factor helps detect and manage multicollinearity in your regression models. The post When Predictors Collide: Mastering VIF in Multicollinear Regression appeared first on Towards Data Science.
Applications with Context Vectors
This post is divided into two parts; they are: β’ Contextual Keyword Extraction β’ Contextual Text Summarization Contextual keyword extraction is a technique for identifying the most important words in a document based on their contextual relevance.
How to Write Efficient Dockerfiles for Your Python Applications
Learn how to build faster, leaner, and more secure Python containers with these efficient Dockerfile strategies.
SQL CTE vs. Subquery: This Debate Ainβt Over Yet!
CTEs and subqueries are often seen as the same thing, written slightly differently. Thatβs far from the truth. Letβs examine their differences, find a winner, and end this debate about which one is better.
Control Your Spotify Playlist with an MCP Server
Use AI to control Spotify playback, search for songs, and manage your queue for a personalized experience.
An Unbiased Review of Snowflakeβs Document AI
Or, how we spared a human from manually inspecting 10,000 flu shot documents. The post An Unbiased Review of Snowflakeβs Document AI appeared first on Towards Data Science.
AI Con USA 2025: An Intelligence-Driven Future
AI Con USA, the premier event for artificial intelligence and machine learning professionals, is set to take place from June 8β13, 2025.
Generate videos in Gemini and Whisk with Veo 2
Transform text-based prompts into high-resolution eight-second videos in Gemini Advanced and use Whisk Animate to turn images into eight-second animated clips.
Plotlyβs AI Tools Are Redefining Data Science WorkflowsΒ
How Plotlyβs AI-powered tools are transforming data science workflows with faster development, smarter insights, and improved collaboration. The post Plotlyβs AI Tools Are Redefining Data Science Workflows appeared first on Towards Data Science.
10 Pandas One-Liners for Exploratory Data Analysis
Exploratory Data Analysis (EDA) is an important step when working with any dataset. Let's explore some useful Pandas one-liners that can help you quickly understand your data.
The Easiest Way to Create Real-Time AI Voice Agents
Forget Alexa β now you can build your own real-time AI voice assistant in just minutes!
An LLM-Based Workflow for Automated Tabular Data ValidationΒ
Clean data, clear insights: detect and correct data quality issues without manual intervention. The post An LLM-Based Workflow for Automated Tabular Data Validation appeared first on Towards Data Science.
Layers of the AI Stack, Explained Simply
And why I decided to work at the application layer The post Layers of the AI Stack, Explained Simply appeared first on Towards Data Science.
Generating and Visualizing Context Vectors in Transformers
This post is divided into three parts; they are: β’ Understanding Context Vectors β’ Visualizing Context Vectors from Different Layers β’ Visualizing Attention Patterns Unlike traditional word embeddings (such as Word2Vec or GloVe), which assign a fixed vector to each word regardless of context, transformer models generate dynamic representations that depend on surrounding words.
DolphinGemma: How Google AI is helping decode dolphin communication
DolphinGemma, a large language model developed by Google, is helping scientists study how dolphins communicate β and hopefully find out what they're saying, too.
Tips for Effective Data Cleaning with Python
Effective data cleaning ensures accurate analysis. Discover Python tips to handle missing values, outliers, and inconsistencies with ease.
3 APIs to Access Gemini 2.5 Pro
The developer-friendly APIs provide free and easy access to Gemini 2.5 Pro for advanced multimodal AI tasks and content generation.
5 Lessons Learned Building RAG Systems
Retrieval augmented generation (RAG) is one of 2025's hot topics in the AI landscape.
10 Free Data Science Books For 2025
Are you looking to boost your data science skills? We've compiled an excellent list of free data science books to support your learning journey
Sesameβ Speech Model: βHow This Viral AI Model Generates Human-Like Speech
A deep dive into residual vector quantizers, conversational speech AI, and talkative transformers. The post Sesame Speech Model: How This Viral AI Model Generates Human-Like Speech appeared first on Towards Data Science.
Learnings from a Machine Learning Engineer β Part 6: The Human Side
Practical advice for the humans involved with machine learning The post Learnings from a Machine Learning Engineer β Part 6: The Human Side appeared first on Towards Data Science.
Are You Sure Your Posterior Makes Sense?
A detailed guide on how to use diagnostics to evaluate the performance of MCMC samplers The post Are You Sure Your Posterior Makes Sense? appeared first on Towards Data Science.
Understanding RAG Part X: RAG Pipelines in Production
Be sure to check out the previous articles in this series: β’
Building A Simple MCP Server
Give your LLMs the extra ability to fetch live stock prices, compare them, and provide historical analysis by implementation tools within the MCP Server.
The Basis of Cognitive Complexity: Teaching CNNs to See Connections
Transforming CNNs: From task-specific learning to abstract generalization The post The Basis of Cognitive Complexity: Teaching CNNs to See Connections appeared first on Towards Data Science.
The Invisible Revolution: How Vectors Are (Re)defining Business Success
The hidden force behind AI is powering the next wave of business transformation The post The Invisible Revolution: How Vectors Are (Re)defining Business Success appeared first on Towards Data Science.
How to Measure Real Model Accuracy When Labels Are Noisy
The math behind βtrueβ accuracy and error correlation The post How to Measure Real Model Accuracy When Labels Are Noisy appeared first on Towards Data Science.
Ivory Tower Notes: TheΒ Problem
When a data science problem is "the"problem The post Ivory Tower Notes: TheProblem appeared first on Towards Data Science.
How to Use Mind Maps in NotebookLM
In this article, weβll explain how to use mind maps within NotebookLM to enhance your productivity and comprehension.
Understanding RAG Part IX: Fine-Tuning LLMs for RAG
Be sure to check out the previous articles in this series: β’
WTF is a Transformer?
In this article, weβll explore what a transformer is, how it originated, why it became so successful that it powered one of the most groundbreaking AI advances, the large language model.
Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o
Inside Deb8flow: Real-time AI debates with LangGraph and GPT-4o The post Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o appeared first on Towards Data Science.
Why CatBoost Works So Well: The Engineering Behind the Magic
CatBoost stands out by directly tackling a long-standing challenge in gradient boostingβhow to handle categorical variables effectively without causing target leakage. By introducing innovative techniques such as Ordered Target Statistics and Ordered Boosting, and by leveraging the structure of Oblivious Trees, CatBoost efficiently balances robustness and accuracy. These methods ensure that each prediction uses only...