Data Science Machine Learning Data Analysis
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Data Science Machine Learning Data Analysis
38.8K subscribers
Data Science Machine Learning Data Analysis
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The Concepts Data Professionals Should Know in 2025: Part 2
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-20 |
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Read time: 14 min read
From AI Agent to Human-In-The-Loop β Master 12 critical data concepts and turn them intoβ¦
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Designing, Building & Deploying an AI Chat App from Scratch (Part 2)
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Category:
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Date: 2025-01-20 |
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Read time: 20 min read
Cloud Deployment and Scaling
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Designing, Building & Deploying an AI Chat App from Scratch (Part 1)
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Category:
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Date: 2025-01-20 |
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Read time: 19 min read
Microservices Architecture and Local Development
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The Concepts Data Professionals Should Know in 2025: Part 1
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Category: DATA ENGINEERING
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Date: 2025-01-19 |
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Read time: 14 min read
From Data Lakehouses to Event-Driven Architecture β Master 12 data concepts and turn them intoβ¦
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Zero-Shot Player Tracking in Tennis with Kalman Filtering
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Category:
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Date: 2025-01-19 |
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Read time: 10 min read
Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography.
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How to Log Your Data with MLflow
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Category: DATA SCIENCE
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Date: 2025-01-19 |
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Read time: 12 min read
Mastering data logging in MLOps for your AI workflow
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Modern Data And Application Engineering Breaks the Loss of Business Context
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Category: DATA ENGINEERING
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Date: 2025-01-18 |
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Read time: 16 min read
Hereβs how your data retains its business relevance as it travels through your enterprise
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Showcasing Soaring Wildfire Counts With Streamlit and Python: A Powerful Approach
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Category: DATA VISUALIZATION
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Date: 2025-01-18 |
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Read time: 13 min read
Analyzing historical wildfire trends in Canada with public data
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My Experience Switching From Power BI to Looker (as a Senior Data Analyst)
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Category: MICROSOFT
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Date: 2025-01-17 |
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Read time: 17 min read
What you need to know before you switch from Power BI to Looker.
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Where to Start when Data is Limited: A Guide
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-17 |
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Read time: 23 min read
Overcome small data constraints & ambitious performance requirements-leveraging modern ML to surpass conventional methods.
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A Practical Exploration of Sora β Intuitively and Exhaustively Explained
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-17 |
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Read time: 23 min read
A new cutting edge video generation tool, and the theory behind it
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Preparing PDFs for RAGs
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Category: DATA SCIENCE
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Date: 2025-01-17 |
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Read time: 5 min read
I created a graph storage from dozens of annual reports (with tables)
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Influential Time-Series Forecasting Papers of 2023-2024: Part 1
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-17 |
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Read time: 16 min read
Exploring the latest advancements in time series
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What Did I Learn from Building LLM Applications in 2024? β Part 2
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Category:
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Date: 2025-01-17 |
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Read time: 13 min read
An engineerβs journey to building LLM-powered applications
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Understanding Flash Attention: Writing the Algorithm from Scratch in Triton
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-15 |
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Read time: 7 min read
Find out how Flash Attention works. Afterward, weβll refine our understanding by writing a GPUβ¦
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Unlocking the Power of Machine Learning in Analytics: Practical Use Cases and Skills
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Category: ANALYTICS
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Date: 2025-01-15 |
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Read time: 9 min read
Your essential machine learning checklist to excel as a data scientist in analytics
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Recursive Walks down User Referral Trees
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Category: MARKETING
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Date: 2025-01-15 |
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Read time: 6 min read
Measuring the total influence of users in a user referral program by traversing indirect referrals
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LossVal Explained: Efficiently Estimate the Importance of Your Training Data
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Category: DATA SCIENCE
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Date: 2025-01-15 |
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Read time: 7 min read
How to Exploit the Loss Function for Efficient Data Valuation
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Scaling Segmentation with Blender: How to Automate Dataset Creation
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Category: DATA SCIENCE
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Date: 2025-01-15 |
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Read time: 10 min read
A Step-by-Step Guide to Generating Synthetic Data for Training AI Models
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Basics of GANs & SMOTE for Data Augmentation
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Category: DATA SCIENCE
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Date: 2025-01-15 |
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Read time: 14 min read
GANs and SMOTE Explained with Bartending: Data Science for Machine Learning Series (1)
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