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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXA Gentle Introduction to SHAP for Tree-Based Models
Machine learning models have become increasingly sophisticated, but this complexity often comes at the cost of interpretability.
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GAIA: The LLM Agent Benchmark Everyoneβs Talking About
What practitioners need to know about this LLM agent benchmark The post GAIA: The LLM Agent Benchmark Everyoneβs Talking About appeared first on Towards Data Science.
A Birdβs Eye View of Linear Algebra: The Basics
We think basis-free, we write basis-free, but when the chips are down we close the office door and compute with matrices like fury. The post A Birdβs Eye View of Linear Algebra: The Basics appeared first on Towards Data Science.
A Practical Introduction to Google Analytics
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The Hidden Security Risks ofΒ LLMs
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I Transitioned from Data Science to AI Engineering: Hereβs Everything You Need toΒ Know
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The Simplest Possible AI Web App
The great simplification experiment The post The Simplest Possible AI Web App appeared first on Towards Data Science.
Why & How to Containerize Your Existing Python Apps
Containerize your Python apps to eliminate environment issues and simplify deployment. This guide shows you why it helps and how to get started with Docker.
Clean and Validate Your Data Using Pandera
Stop wasting time on dirty data! Learn how to clean it up in minutes with Pandera.
Using Quantized Models with Ollama for Application Development
Quantization is a frequently used strategy applied to production machine learning models, particularly large and complex ones, to make them lightweight by reducing the numerical precision of the modelβs parameters (weights) β usually from 32-bit floating-point to lower representations like 8-bit integers.
Multi-Agent Communication with the A2A PythonΒ SDK
The Agent Card helps discover agents, but how does communication between agents actually work in practice? The post Multi-Agent Communication with the A2A PythonSDK appeared first on Towards Data Science.
JAX: Is This Googleβs NumPyΒ killer?
Auto differentiation and JIT compilation make a compelling case. The post JAX: Is This Googleβs NumPykiller? appeared first on Towards Data Science.
Detecting Malicious URLs Using LSTM and Googleβs BERT Models
A progressive approach to implementing AI-powered webpage detection applications into production The post Detecting Malicious URLs Using LSTM and Googleβs BERT Models appeared first on Towards Data Science.
Tree of Thought Prompting: Teaching LLMs to Think Slowly
Playing Minesweeper with Augmented Reasoning The post Tree of Thought Prompting: Teaching LLMs to Think Slowly appeared first on Towards Data Science.
Tokenizers in Language Models
This post is divided into five parts; they are: β’ Naive Tokenization β’ Stemming and Lemmatization β’ Byte-Pair Encoding (BPE) β’ WordPiece β’ SentencePiece and Unigram The simplest form of tokenization splits text into tokens based on whitespace.
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Machine learning model development often feels like navigating a maze, exciting but filled with twists, dead ends, and time sinks.
The Art of Writing Readable Python Functions
If your functions need comments to be understood, itβs probably time for a rewrite. Learn the key habits that make Python functions readable by design.
32 MCP Servers You Need To Check Out Now
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Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models
Explore how Bayesian Optimization outperforms Grid Search in efficiency and performance over binary classification tasks. The post Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models appeared first on Towards Data Science.
How Microsoft Power BI Elevated My Data Analysis and Visualization Workflow
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Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python
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Develop a data system that every business user wants to use.
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Code Agents: The Future of AgenticΒ AI
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How to Reduce Your Power BI Model Size by 90%
Have you ever wondered what makes Power BI so fast and powerful when it comes to performance? Learn on a real-life example about data model optimization and general rules for reducing data model The post How to Reduce Your Power BI Model Size by 90% appeared first on Towards Data Science.
The Best AI Books & Courses for Getting aΒ Job
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How to Generate Synthetic Data: A Comprehensive Guide Using Bayesian Sampling and Univariate Distributions
Data makes the engine run in many organisations. But what if the number of observations is too low or there is only expert knowledge? I will demonstrate how to generate synthetic data with applications in predictive maintenance. The post How to Generate Synthetic Data: A Comprehensive Guide Using Bayesian Sampling and Univariate Distributions appeared first on Towards Data Science.
Understanding Matrices | Part 1: Matrix-Vector Multiplication
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Effortlessly run terminal commands, enhance projects with AI, collaborate with your team, and access features quickly, all through a sleek, modern interface designed for efficiency.
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Want recruiters and collaborators to find you? Fix your LinkedIn, even if you hate self-promotion.