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
39.2K subscribers
Machine Learning
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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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Dataflow architecture
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Category: DATA ENGINEERING
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Date: 2024-10-15 |
β±οΈ
Read time: 23 min read
on derived data views and eventual consistency
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I Built An AI Human-Level Game Player
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-15 |
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Read time: 13 min read
Old-school game trees can be incredibly effective.
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AI Feels Easier Than Ever, But Is It Really?
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-15 |
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Read time: 9 min read
The 4 big challenges of building AI products
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Evaluating synthetic data
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Category: MACHINE LEARNING
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Date: 2024-10-14 |
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Read time: 9 min read
Assessing plausibility and usefulness of data we generated from real data
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How to Choose the Best ML Deployment Strategy: Cloud vs. Edge
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Category:
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Date: 2024-10-14 |
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Read time: 17 min read
The choice between cloud and edge deployment could make or break your project
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Florence-2: Advancing Multiple Vision Tasks with a Single VLM Model
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Category:
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Date: 2024-10-14 |
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Read time: 8 min read
A Guided Exploration of Florence-2βs Zero-Shot Capabilities: Captioning, Object Detection, Segmentation and OCR.
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PyTorch Optimizers Arenβt Fast Enough. Try These Instead
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Category: DATA SCIENCE
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Date: 2024-10-14 |
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Read time: 12 min read
These 4 advanced optimizers will open your mind.
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How to Set Bid Guardrails in PPC Marketing
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Category: DATA SCIENCE
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Date: 2024-10-14 |
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Read time: 14 min read
Without controls, bidding algorithms can be quite volatile. Learn how to protect performance through addingβ¦
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Product-Oriented ML: A Guide for Data Scientists
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-14 |
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Read time: 30 min read
How to build ML products users love
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lintsampler: a new way to quickly get random samples from any distribution
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Category: PROBABILITY
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Date: 2024-10-14 |
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Read time: 5 min read
lintsampler is a pure Python package that can easily and efficiently generate random samples fromβ¦
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Bringing Structure to Your Data
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Category:
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Date: 2024-10-14 |
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Read time: 13 min read
Testing assumptions with path models
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How to Perform A/B Testing with Hypothesis Testing in Python: A Comprehensive Guide
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Category: DATA SCIENCE
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Date: 2024-10-13 |
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Read time: 11 min read
A Step-by-Step Guide to Making Data-Driven Decisions with Practical Python Examples
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Recruiting vs. Interviewing for Data Roles in Diverse Markets
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Category: CAREER ADVICE
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Date: 2024-10-13 |
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Read time: 12 min read
Factors of success in recruiting and interviewing after applying for 150+ positions and reviewing 500+β¦
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Top 5 Principles for Building User-Friendly Data Tables
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Category: DATA ENGINEERING
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Date: 2024-10-13 |
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Read time: 9 min read
Designing intuitive and reliable tables that your data team will love
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Linear Discriminant Analysis (LDA)
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Category: MACHINE LEARNING
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Date: 2024-10-12 |
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Read time: 13 min read
Discover how LDA helps identify critical data features
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Upgrading to Prefect Push Workers on AWS ECS
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Category: DATA ENGINEERING
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Date: 2024-10-12 |
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Read time: 6 min read
Upgrade from Prefect 2.0 to 3.0 and use the new Push Work Pools that greatlyβ¦
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Why the 2024 Nobel Prize in (AI for) Chemistry Matters So Much
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-12 |
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Read time: 6 min read
To Demis Hassabis and John Jumper, from DeepMind, and to David Baker, leader of theβ¦
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