Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
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Machine Learning
39.1K subscribers
Machine Learning
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AI Model Optimization on AWS Inferentia and Trainium
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-20 |
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Read time: 11 min read
Tips for accelerating ML with AWS Neuron SDK
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How to Get Started on Your Data Science Career Journey
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Category: CAREER ADVICE
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Date: 2024-10-20 |
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Read time: 6 min read
Six considerations for beginners to pick a resource for upskilling in Data Science and AI/ML
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Understanding LLMs from Scratch Using Middle School Math
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-19 |
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Read time: 52 min read
In this article, we talk about how LLMs work, from scratch β assuming only thatβ¦
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How Much Stress Can Your Server Handle When Self-Hosting LLMs?
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Category: DATA SCIENCE
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Date: 2024-10-19 |
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Read time: 7 min read
Do you need more GPUs or a modern GPU? How do you make infrastructure decisions?
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The One Mindset Change That Launched Me into Data Science
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Category: DATA SCIENCE
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Date: 2024-10-19 |
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Read time: 13 min read
Make it happen: tiny changes to break into data science or any dream career
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Cognitive Prompting in LLMs
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Category: MACHINE LEARNING
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Date: 2024-10-19 |
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Read time: 9 min read
Can we teach machines to think like humans?
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A Critical Look at AI Image Generation
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Category: ART
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Date: 2024-10-17 |
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Read time: 12 min read
What does image generative AI really tell us about our world?
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All You Need to Know to Build Radial Charts in Tableau
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Category: DATA SCIENCE
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Date: 2024-10-17 |
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Read time: 7 min read
You will never forget it after this!
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Fine-Tuning BERT for Text Classification
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Category: DEEP LEARNING
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Date: 2024-10-17 |
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Read time: 6 min read
A hackable example with Python code
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Create Your Own Prompt Enhancer from Scratch
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Category: MACHINE LEARNING
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Date: 2024-10-17 |
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Read time: 11 min read
How to emulate OpenAIβs system prompt generator functionality
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Temporal-Difference Learning: Combining Dynamic Programming and Monte Carlo Methods for Reinforcement Learning
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Category: MACHINE LEARNING
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Date: 2024-10-17 |
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Read time: 17 min read
Milestones of RL: Q-Learning and Double Q-Learning
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Visualization of Data with Pie Charts in Matplotlib
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Category:
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Date: 2024-10-16 |
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Read time: 5 min read
Examples of how to create different types of pie charts using Matplotlib to visualize theβ¦
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A Novel Approach to Detect Coordinated Attacks Using Clustering
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Category: MACHINE LEARNING
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Date: 2024-10-16 |
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Read time: 18 min read
Unveiling hidden patterns: grouping malicious behavior
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Exploring DRESS Kit V2
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Category: MACHINE LEARNING
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Date: 2024-10-16 |
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Read time: 13 min read
Exploring new features and notable changes in the latest version of the DRESS Kit
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The Science Behind AIβs First Nobel Prize
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Category: MACHINE LEARNING
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Date: 2024-10-16 |
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Read time: 13 min read
How Physics and Machine Learning Joined Forces to Win Physics Nobel 2024
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Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates
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Category: DATA SCIENCE
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Date: 2024-10-16 |
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Read time: 16 min read
Learn which variables you should and should not take into account in your model.
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Beyond Naive RAG: Advanced Techniques for Building Smarter and Reliable AI Systems
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Category: LARGE LANGUAGE MODELS
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Date: 2024-10-16 |
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Read time: 32 min read
A deep dive into advanced indexing, pre-retrieval, retrieval, and post-retrieval techniques to enhance RAG performance
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Will Your Vote Decide the Next President?
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Category: DATA SCIENCE
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Date: 2024-10-15 |
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Read time: 22 min read
Simulating the probability that your singular vote swings the election in November
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Normalized Discounted Cumulative Gain (NDCG) β The Ultimate Ranking Metric
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Category: DATA SCIENCE
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Date: 2024-10-15 |
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Read time: 10 min read
NDCG β The Rank-Aware Metric for Evaluating Recommendation Systems
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Continual Learning: A Primer
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Category: DEEP LEARNING
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Date: 2024-10-15 |
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Read time: 8 min read
Plus paper recommendations
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I Fine-Tuned the Tiny Llama 3.2 1B to Replace GPT-4o
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Category: DATA SCIENCE
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Date: 2024-10-15 |
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Read time: 8 min read
Is the fine-tuning effort worth more than few-shot prompting?
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