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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UX10 Python One-Liners Every Machine Learning Practitioner Should Know
Developing machine learning systems entails a well-established lifecycle, consisting of a series of stages from data preparation and preprocessing to modeling, validation, deployment to production, and continuous maintenance.
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A Deep Dive into RabbitMQ & Pythonβs Celery: How to Optimise YourΒ Queues
Key lessons Iβve learned running RabbitMQ + Celery in production The post A Deep Dive into RabbitMQ & Pythonβs Celery: How to Optimise YourQueues appeared first on Towards Data Science.
Implementing the Caesar Cipher in Python
Julius Caesar was a Roman ruler known for his military strategies and excellent leadership. Named after him, the Caesar Cipher is a fascinating cryptographic technique that Julius Caesar employed to send secret signals and messages to his military personnel. The Caesar Cipher is quite basic in its working. It works by shifting all the letters [β¦] The post Implementing the Caesar Cipher in Python appeared first on...
How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques
Optimize your AI search with RAG, contextual retrieval and evaluations The post How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques appeared first on Towards Data Science.
What is Universality in LLMs? How to Find Universal Neurons
How independently trained transformers form same the neurons The post What is Universality in LLMs? How to Find Universal Neurons appeared first on Towards Data Science.
3 Greedy Algorithms for Decision Trees, Explained with Examples
Learn the inner workings of decision trees The post 3 Greedy Algorithms for Decision Trees, Explained with Examples appeared first on Towards Data Science.
Creating Slick Data Dashboards with Python, Taipy & Google Sheets
Develop simple yet powerful business intelligence tools tailored to meet your company's specific needs.
Writing Is Thinking
Egor Howell on breaking into ML without a CS degree, surviving 80+ interviews, and what to do if you feel stuck in your career. The post Writing Is Thinking appeared first on Towards Data Science.
What is Data Science in Simple Words?
This introductory article discussed what data science is (and isn't), its relationship with math, statistic, and computer science, and why its high importance and impact nowadays... all in simple terms.
3 Ways to Speed Up and Improve Your XGBoost Models
Extreme gradient boosting ( XGBoost ) is one of the most prominent machine learning techniques used not only for experimentation and analysis but also in deployed predictive solutions in industry.
5 Reasons Why Vibe Coding Threatens Secure Data App Development
AI-powered "vibe coding" promises rapid development but creates unprecedented security risks for data applications handling sensitive information.
The Generalist: The New All-Around Type of Data Professional?
Is over-specialization ending and are data generalists on the rise? The post The Generalist: The New All-Around Type of Data Professional? appeared first on Towards Data Science.
How to Develop a Bilingual Voice Assistant
Exploring ways to make voice assistants more personal The post How to Develop a Bilingual Voice Assistant appeared first on Towards Data Science.
Understanding Matrices | Part 4: Matrix Inverse
The physical meaning of matrix inversion, related formulas, and how inversion behaves on several special types of matrices. The post Understanding Matrices | Part 4: Matrix Inverse appeared first on Towards Data Science.
Crafting a Custom Voice Assistant with Perplexity
How to build a fully functional, hands-free voice assistant on a Raspberry Pi The post Crafting a Custom Voice Assistant with Perplexity appeared first on Towards Data Science.
Marginal Effect of Hyperparameter Tuning with XGBoost
Demystifying Bayesian hyperparameter optimization and comparing hyperparameter tuning paradigms The post Marginal Effect of Hyperparameter Tuning with XGBoost appeared first on Towards Data Science.
Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks
This research answered the question: How can machine learning and artificial intelligence help us to unlearn bias? The post Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks appeared first on Towards Data Science.
Unlocking Multimodal Video Transcription with Gemini
Explore how to transcribe videos with speaker identification in a single prompt The post Unlocking Multimodal Video Transcription with Gemini appeared first on Towards Data Science.
5 Key Ways LLMs Can Supercharge Your Machine Learning Workflow
Experimenting, fine-tuning, scaling, and more are key aspects that machine learning development workflows thrive on.
How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker
From VOC to JSON: Importing pre-annotations made simple The post How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker appeared first on Towards Data Science.
Implementing the Hangman Game in Python
A beginner-friendly project to understand variables, loops, and conditions in Python The post Implementing the Hangman Game in Python appeared first on Towards Data Science.
Stepwise Selection Made Simple: Improve Your Regression Models in Python
Dimensionality reduction in linear regression: classical stepwise methods and a Python application on real-world data The post Stepwise Selection Made Simple: Improve Your Regression Models in Python appeared first on Towards Data Science.
Graph Coloring for Data Science: A Comprehensive Guide
From theoretical puzzles to practical applications The post Graph Coloring for Data Science: A Comprehensive Guide appeared first on Towards Data Science.
5 Simple Steps to Mastering Docker for Data Science
Docker makes data science workflows more consistent and portable. This guide breaks it down into five simple, practical steps.
A Visual Guide to Tuning Decision-Tree Hyperparameters
How hyperparameter tuning visually changes decision trees The post A Visual Guide to Tuning Decision-Tree Hyperparameters appeared first on Towards Data Science.
7 Pandas Tricks for Efficient Data Merging
Data merging is the process of combining data from different sources into a unified dataset.
7 Beginner Machine Learning Projects To Complete This Weekend
In this article, we will explore seven simple machine learning projects that will help you learn important skills and improve your career.
Air for Tomorrow:Β Why Openness in Air Quality Research and Implementation Matters for Global Equity
Understand how open source can help you unravel air quality The post Air for Tomorrow:Why Openness in Air Quality Research and Implementation Matters for Global Equity appeared first on Towards Data Science.
How to Decide Between Random Forests and Gradient Boosting
When working with machine learning on structured data, two algorithms often rise to the top of the shortlist: random forests and gradient boosting .
Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals
Explore how Agentic AI is reshaping the tech careers, from data to decision-making, and how professionals can prepare for the future of work The post Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals appeared first on Towards Data Science.
Everything I Studied to Become a Machine Learning Engineer (No CS Background)
The books, courses, and resources I used in my journey. The post Everything I Studied to Become a Machine Learning Engineer (No CS Background) appeared first on Towards Data Science.
Time Series Forecasting Made Simple (Part 4.1): Understanding Stationarity in a Time Series
An intuitive guide to stationarity in a time series The post Time Series Forecasting Made Simple (Part 4.1): Understanding Stationarity in a Time Series appeared first on Towards Data Science.
A Brief History of GPT Through Papers
Language models are becoming really good. But where did they come from? The post A Brief History of GPT Through Papers appeared first on Towards Data Science.
Vibe Coding High-Performance Data Tools in Rust
Rust lets developers build fast and reliable data tools. This article shows how to use Rustβs features for high-performance data processing.
The Math You Need to Pan and Tilt 360Β° Images
Panning a spherical image is just a horizontal roll, but tilting it vertically is much trickier. Let's see the math! The post The Math You Need to Pan and Tilt 360 Images appeared first on Towards Data Science.