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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Making News Recommendations Explainable with Large Language Models
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-11-30 |
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Read time: 7 min read
A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization.
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Grokking Behavioral Interviews
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Category: DATA SCIENCE
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Date: 2024-11-30 |
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Read time: 8 min read
Master the art of behavioral interviews and land your dream job
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Model Validation Techniques, Explained: A Visual Guide with Code Examples
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Category: MACHINE LEARNING
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Date: 2024-11-30 |
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Read time: 28 min read
12 must-know methods to validate your machine learning
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Dunder Methods: The Hidden Gems of Python
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Category: DATA SCIENCE
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Date: 2024-11-30 |
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Read time: 9 min read
Real-world examples on how actively using special methods can simplify coding and improve readability
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Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query!
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Category: DATA SCIENCE
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Date: 2024-11-29 |
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Read time: 8 min read
5 practical use cases that prove Power Query is worth exploring.
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Water Cooler Small Talk: Simpsonβs Paradox
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Category: DATA SCIENCE
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Date: 2024-11-29 |
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Read time: 10 min read
Is your data tricking you? What can you do about it?
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Multimodal Embeddings: An Introduction
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Category: DATA SCIENCE
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Date: 2024-11-29 |
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Read time: 8 min read
Mapping text and images into a common space
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AI Math: The Bias-Variance Trade-off in Deep Learning
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Category: DEEP LEARNING
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Date: 2024-11-29 |
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Read time: 60 min read
A visual tour from classical statistics to the nuances of deep learning
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Porting Twitterβs Anomaly Detection Algorithm To Swift
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Category: TWITTER
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Date: 2024-11-29 |
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Read time: 12 min read
From Twitter to Swift: Building Anomaly Detection.
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GenAI is Reshaping Data Science Teams
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Category: DATA SCIENCE
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Date: 2024-11-29 |
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Read time: 11 min read
Challenges, opportunities, and the evolving role of data scientists
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The Intuition behind Concordance Index β Survival Analysis
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Category: DATA SCIENCE
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Date: 2024-11-28 |
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Read time: 19 min read
Ranking accuracy versus absolute accuracy
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Machine Learning
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Machine Learning
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Complete MLOPS Cycle for a Computer Vision Project
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Category:
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Date: 2024-11-28 |
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Read time: 9 min read
These days, we encounter (and maybe produce on our own) many computer vision projects, whereβ¦
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A quick guide to Network Science
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Category: DATA SCIENCE
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Date: 2024-11-28 |
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Read time: 8 min read
For those who would like to learn about complex connections β from theory to practiceβ¦
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Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads
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Category: DATA SCIENCE
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Date: 2024-11-28 |
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Read time: 4 min read
The stories that resonated the most with our community in the past month
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A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important
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Category: MARKETING
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Date: 2024-11-27 |
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Read time: 30 min read
"Details matter. Itβs worth waiting to get it right." β Steve Jobs What if theβ¦
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NLP Illustrated, Part 2: Word Embeddings
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-11-27 |
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Read time: 8 min read
An illustrated and intuitive guide to word embeddings
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A Beginnerβs Journey into Key Mathematical Concepts: Applied Data Analysis Simplified
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Category: PROBABILITY
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Date: 2024-11-26 |
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Read time: 23 min read
Understanding key concepts such as Monte Carlo Methods, Bayesβ Theorem or Gradient Descent can beβ¦
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Addressing Missing Data
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Category: DATA SCIENCE
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Date: 2024-11-26 |
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Read time: 9 min read
Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with Missingno
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Mistral 7B Explained: Towards More Efficient Language Models
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-11-26 |
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Read time: 56 min read
RMS Norm, RoPE, GQA, SWA, KV Cache, and more!
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Data Scientist Answers the Most Popular Data Science Questions
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-11-26 |
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Read time: 7 min read
All-around guidance for prospective data scientists
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