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Your Knowledge Base
1,247 items

Chapter 3: Linear Methods for Regression

Linear regression is one of the oldest and most important statistical learning methods. The linear model makes strong assumptions about the structure of the data, and when these assumptions are met...

We discuss least squares fitting, subset selection, shrinkage methods, and methods using derived input features to improve the linear model's performance.

The Elements of Statistical Learning
764 pages • Textbook
25% read

Chapter 2: Meaningful Names

Writing clean code is a skill that separates the professional from the amateur. Clean code is not written by following a set of rules. You don't become a software craftsman by learning a list of heuristics...

This book teaches you how to write code that is expressive, readable, and maintainable. You'll learn the difference between good and bad code, and how to transform bad code into good code.

Clean Code: A Handbook of Agile Software Craftsmanship
464 pages • Book
Completed

Abstract

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also...

We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.

Attention Is All You Need
15 pages • Research Paper
60% read

Executive Summary

As AI systems become more powerful and widespread, ensuring their safety and alignment with human values becomes increasingly critical. This report examines current risks...

We analyze governance frameworks, technical safety measures, and international cooperation efforts to mitigate potential harms from advanced AI systems.

2023 AI Safety Report
87 pages • Report
80% read

Introduction to Deep Learning

Deep learning has revolutionized artificial intelligence by enabling machines to learn complex patterns from data. Neural networks with multiple hidden layers can approximate any function...

We'll explore convolutional networks for vision, recurrent networks for sequences, and transformer architectures that power modern AI systems.

Deep Learning (Goodfellow, Bengio & Courville)
800 pages • Textbook
15% read

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Processing: "Machine Learning Guide.pdf"
Summary
Comprehensive guide covering supervised, unsupervised, and reinforcement learning techniques...
Key Concepts
Neural Networks Deep Learning Pattern Recognition
Difficulty Level
Intermediate • 156 pages • Est. reading time: 4h 20m

Smart Organization

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Auto-organizing 1,247 documents...
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Machine Learning (89 docs)
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Programming (156 docs)
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Design Systems (34 docs)
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Research Papers (267 docs)
Organizing...

Note Annotations

AI-powered note-taking with intelligent suggestions. Personal notes, highlights, and bookmarks become searchable and linkable across your entire document collection.

The Pragmatic Programmer
Chapter 2: A Pragmatic Approach

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system. 💡

Cross-Reference
DRY principle in Clean Architecture
Personal Note
Apply to documentation too
AI Insight
Related to SOLID principles

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Automatic metadata generation and smart collections. Tags are intelligently extracted from content and evolve as your document collection grows, creating dynamic organizational systems.

Attention Is All You Need.pdf
neural-networks deep-learning computer-vision tensorflow
Auto-generated • 89% confidence
Smart Collections Updated
AI Research Papers +1 document
TensorFlow Projects +1 document

Smart Connections

Discover hidden relationships between documents with AI-powered graph analysis. Citation networks, concept mapping, and relationship visualization reveal new insights.

Clean Code
Design Patterns (GoF)
Refactoring (Fowler)
Code Quality Report
3 related concepts discovered
12 citation relationships mapped

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