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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXThe Channel-Wise Attention | Squeeze and Excitation
Applying the Squeeze and Excitation module on ResNeXt usingPyTorch The post The Channel-Wise Attention | Squeeze and Excitation appeared first on Towards Data Science.
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How AI is helping advance the science of bioacoustics to save endangered species
Our new Perch model helps conservationists analyze audio faster to protect endangered species, from Hawaiian honeycreepers to coral reefs.
10 GitHub Repositories to Master Backend Development
Learn backend development through hands-on projects, best practices, and learning paths for building secure, scalable, and efficient web applications.
A Gentle Introduction to Context Engineering in LLMs
Before you prompt, engineer your context. Hereβs the beginnerβs guide everyone needs.
The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons
Unless youβre someone who lives and breathes cybersecurity, chances are you didnβt think much about authentication, network exposure, or what happens if someone else finds your server. This guide isnβt here to kill the excitementβitβs here to help you use MCP without opening the door to trouble. The post The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons appeared first on Towards Data...
How I Won the βMostly AIβ Synthetic Data Challenge
A deep dive into how post-processing can supercharge synthetic data generation The post How I Won the βMostly AIβ Synthetic Data Challenge appeared first on Towards Data Science.
The Machine, the Expert, and the Common Folks
A look at noise, consistency and broken legs The post The Machine, the Expert, and the Common Folks appeared first on Towards Data Science.
InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI
Learn how InfiniBand and RoCEv2 enable high-speed GPU communication The post InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI appeared first on Towards Data Science.
The Importance of Visualization in Data Storytelling
This article introduces and discusses four key reasons why data visualization is essential in data storytelling: simplifying complex information, discovering hidden patterns, fostering engagement and impact, and supporting informed decisions.
Top 10 Collections of Cheat Sheets on GitHub
Discover a comprehensive collection of cheat sheets covering Docker commands, mathematics, Python, machine learning, data science, data visualization, CLI commands, and more.
Time-Series Transformation Toolkit: Feature Engineering for Predictive Analytics
In time series analysis and forecasting , transforming data is often necessary to uncover underlying patterns, stabilize properties like variance, and improve the performance of predictive models.
Beginnerβs Guide to Gemini CLI: Install, Setup, and Use It Like a Pro
Turn your terminal into an AI coding assistant with Gemini CLI and learn how to use it like a pro in minutes.
Context Engineering β A Comprehensive Hands-On Tutorial with DSPy
Let's dissect the art and science of context engineering, one module at a time! The post Context Engineering β A Comprehensive Hands-On Tutorial with DSPy appeared first on Towards Data Science.
Things I Wish I Had Known Before Starting ML
Part 2: Guardrails, research code, reading The post Things I Wish I Had Known Before Starting ML appeared first on Towards Data Science.
How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus
Welcome to the 21st century by the hand of large language models and reasoning AI agents The post How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus appeared first on Towards Data Science.
Stellar Flare Detection and Prediction Using Clustering and Machine Learning
Combining unsupervised clustering with supervised learning to detect and predict stellar flares The post Stellar Flare Detection and Prediction Using Clustering and Machine Learning appeared first on Towards Data Science.
Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)
Letβs observe the matter on the atomic level The post Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3) appeared first on Towards Data Science.
Mechanistic View of Transformers: Patterns, Messages, Residual Stream⦠and LSTMs
What happens when you stop concatenating and start decomposing: a new way to think about attention. The post Mechanistic View of Transformers: Patterns, Messages, Residual Stream⦠and LSTMs appeared first on Towards Data Science.
The Case for Makefiles in Python Projects (And How to Get Started)
Most Python projects rely on scattered scripts and commands. Learn how makefiles pulls it all together into one clean, repeatable workflow.
Genie 3: A new frontier for world models
Genie 3 can generate dynamic worlds that you can navigate in real time at 24 frames per second, retaining consistency for a few minutes at a resolution of 720p.
A Gentle Introduction to Q-Learning
Reinforcement learning is a relatively lesser-known area of artificial intelligence (AI) compared to highly popular subfields today, such as machine learning, deep learning, and natural language processing.
Getting The Most From The LangChain Ecosystem
Learn how to use the LangChain ecosystem to build, test, deploy, monitor, and visualize complex agentic workflows.
From Data Scientist IC to Manager: One YearΒ In
Three pillars that shaped my first year in data science management-prioritization, empowerment, and recognition The post From Data Scientist IC to Manager: One YearIn appeared first on Towards Data Science.
Introducing Server-Sent Events inΒ Python
A simpler path to coding real-time web applications. The post Introducing Server-Sent Events inPython appeared first on Towards Data Science.
Master the Future with Applied Data Science Top-Ranked, Affordable, Online Masterβs Degree Program
No. 4 in Fortuneβs 2024 Best Online Masterβs in Data Science Programs and No. 10 in TechGuideβs 2025 Most Affordable Online Masterβs in Data Science Degree Programs.
On Adding a Start Value to a Waterfall Chart in Power BI
A waterfall chart can be a powerful tool for conveying information. But it has some limitations. The post On Adding a Start Value to a Waterfall Chart in Power BI appeared first on Towards Data Science.
Hands-On with Agents SDK: Multi-Agent Collaboration
Explore the handoff and agents-as-tools patterns, their use cases, and how to customize them using OpenAI Agents SDK and Streamlit. The post Hands-On with Agents SDK: Multi-Agent Collaboration appeared first on Towards Data Science.
Rethinking how we measure AI intelligence
Game Arena is a new, open-source platform for rigorous evaluation of AI models. It allows for head-to-head comparison of frontier systems in environments with clear winning conditions.
Building a Decoder-Only Transformer Model Like Llama-2 and Llama-3
This post is divided into five parts; they are: β’ From a Full Transformer to a Decoder-Only Model β’ Building a Decoder-Only Model β’ Data Preparation for Self-Supervised Learning β’ Training the Model β’ Extensions The transformer model originated as a sequence-to-sequence (seq2seq) model that converts an input sequence into a context vector, which is then used to generate a new sequence.
Building a Decoder-Only Transformer Model for Text Generation
This post is divided into five parts; they are: β’ From a Full Transformer to a Decoder-Only Model β’ Building a Decoder-Only Model β’ Data Preparation for Self-Supervised Learning β’ Training the Model β’ Extensions The transformer model originated as a sequence-to-sequence (seq2seq) model that converts an input sequence into a context vector, which is then used to generate a new sequence.
Does the Code Work orΒ Not?Β
A common misconception about the working state of code in data, AI or software engineering fields. The post Does the Code Work orNot? appeared first on Towards Data Science.
Exploring NotebookLM Alternatives
Looking for tools like NotebookLM? Discover alternatives that help you organize, summarize, and interact with your documents.
10 Python Libraries Every MLOps Engineer Should Know
Learn about 10 essential Python libraries that support core MLOps tasks like versioning, deployment, and monitoring.
5 Routine Tasks That ChatGPT Can Handle for Data Scientists
A practical walkthrough of how ChatGPT handles cleaning, exploration, visualization, modeling and more.
Building a Transformer Model for Language Translation
This post is divided into six parts; they are: β’ Why Transformer is Better than Seq2Seq β’ Data Preparation and Tokenization β’ Design of a Transformer Model β’ Building the Transformer Model β’ Causal Mask and Padding Mask β’ Training and Evaluation Traditional seq2seq models with recurrent neural networks have two main limitations: β’ Sequential processing prevents parallelization β’ Limited ability to capture long-term...