Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
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πŸ“Œ How to Make an Advanced Spider Chart in Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-05 | ⏱️ Read time: 8 min read

Step-by-step explanation with an easy to use function at the end
πŸ“Œ The Latest on LLMs: Decision-Making, Knowledge Graphs, Reasoning Skills, and More

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-05 | ⏱️ Read time: 5 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ My Weekly Calendar as a Senior Data Science Manager

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-05 | ⏱️ Read time: 17 min read

My goal is to cover the 3Ps: People, Projects and Process. In that order of…
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πŸ“Œ GPTs and the Forehead Detective

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-05 | ⏱️ Read time: 14 min read

Are the reasoning capabilities of OpenAI LLMs good enough to play the classic guessing game?
πŸ“Œ Peer Review Demystified: What, Why, and How

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 12 min read

Learnings as an AI & Robotics Associate Editor with 100 Peer Reviews
πŸ“Œ Your Pathway to Success: How You Can Land a Machine Learning and Data Science Internship

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 18 min read

Advice and tips from a data scientist who landed two internships in a year
πŸ“Œ Understanding Time Series Structural Changes

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 7 min read

How to detect time series change points using Python
πŸ“Œ Automated Prompt Engineering: The Definitive Hands-On Guide

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 26 min read

Learn how to automate prompt engineering and unlock significant performance improvements in your LLM workload
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πŸ“Œ Monte Carlo Methods for Solving Reinforcement Learning Problems

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 20 min read

Dissecting β€œReinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode III
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πŸ“Œ Hands-On Global Optimization Methods, with Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 15 min read

Four methods to find the maximum (or minimum) of your black box objective function
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πŸ“Œ How to Train a Vision Transformer (ViT) from Scratch

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 13 min read

A practical guide to implementing the Vision Transformer (ViT)
πŸ“Œ Batch And Streaming Demystified For Unification

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 29 min read

Understand how batch can be considered a subset of streaming and why data engineering should…
πŸ“Œ How I Used Clustering to Improve Chunking and Build Better RAGs

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 8 min read

It’s both fast and cost-effective
πŸ“Œ Approximating Stochastic Functions with Multivariate Outputs

πŸ—‚ Category:

πŸ•’ Date: 2024-09-04 | ⏱️ Read time: 25 min read

A generic approach for training probabilistic machine learning models
πŸ“Œ Diving Deeper with Structured Outputs

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-09-03 | ⏱️ Read time: 10 min read

Enhancing our understanding and optimal usage of structured outputs
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πŸ“Œ Here Comes Mamba: The Selective State Space Model

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-09-03 | ⏱️ Read time: 22 min read

Part 3 – Towards Mamba State Space Models for Images, Videos and Time Series
πŸ“Œ Using Generative AI To Get Insights From Disorderly Data

πŸ—‚ Category:

πŸ•’ Date: 2024-09-03 | ⏱️ Read time: 41 min read

Best practices for using Large Language Models to extract actionable insights even with poor metadata
πŸ“Œ Line-By-Line, Let’s Reproduce GPT-2: Section 3 – Training

πŸ—‚ Category:

πŸ•’ Date: 2024-09-03 | ⏱️ Read time: 20 min read

This blog post will go line-by-line through the code in Section 3 of Andrej Karpathy’s…
πŸ“Œ 5 Pillars for a Hyper-Optimized AI Workflow

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-03 | ⏱️ Read time: 8 min read

A gentle introduction to a methodology for creating production-ready, extensible & highly optimized AI workflows
πŸ“Œ Information in Noise

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-03 | ⏱️ Read time: 4 min read

Two Techniques for Visualizing Many Time-Series at Once