🧠
Search
Search
Search
Dark mode
Light mode
Explorer
02 - Project
01 - Computer Science
Large Language Models
Video Classification
Web 3.0
02 - Software Development
AWS Certified Solutions Architect Associates Certification
AWS Cloud Practitioner Essentials
iOS Development
Objective-C ios App
React Native
Software Development
Swfit
03 - Data Science
3D Convolutional Neural Networks
Activation Functions
Backpropagation
Batch Size
Classification
Clustering
Convolution
Convolutional Neural Network
Data Augmentation
Data Science
Data Science Reports
Database
Decision Trees
Descriptive Statistics
Dimensionality Reduction
Explanatory Statistics
Fourier Transform
Generative Adversarial Networks
Graph Convolutional Networks
Graph Neural Networks
Hypergraph Neural Networks
IBM Data Science Professional Certificate
K-Means
Linear Models for Classification
Linear Regression
Logistic Regression
Loss Functions
Machine Learning
Neural Networks
Precision, Accuracy, Sensitivity, Specifitiy
PyTorch
R Programming
Recurrent Neural Network
Reinforcement Learning
Residual Network
Signal Processing
Support Vector Machines
Transformers
Vanishing and Exploding gradient problem
YOLO
Math
Calculus
Linear Algebra
Math
Statistics
Technologies
Deploying a nodejs app to production
Django
Installing Ubuntu 18.04 Parallels
Obsidian
SQL
Unity
Blender
Kings and Pigs
Modern World
Unity Homepage
04 - Obsidian
Literature
@bochkovskiy.etal_2020
Templates
New Daily Note Template
New Literature
New Note Template
Bookmarks
Home
Investing
Nginx
Nodejs
Software Architecture
Thoughts
Untitled
Untitled 1
Home
❯
02 Project
❯
03 Data Science
Folder: 02---Project/03---Data-Science
40 items under this folder.
Apr 03, 2024
Signal Processing
Apr 03, 2024
Support Vector Machines
笔记
TODO
Apr 03, 2024
Transformers
笔记
TODO
Apr 03, 2024
Vanishing and Exploding gradient problem
Apr 03, 2024
YOLO
笔记
Apr 03, 2024
3D Convolutional Neural Networks
笔记
Apr 03, 2024
Activation Functions
笔记
Apr 03, 2024
Backpropagation
笔记
想法
Apr 03, 2024
Batch Size
Apr 03, 2024
Classification
笔记
Apr 03, 2024
Clustering
笔记
Apr 03, 2024
Convolution
Apr 03, 2024
Convolutional Neural Network
笔记
todo
TODO
Apr 03, 2024
Data Augmentation
笔记
Apr 03, 2024
Data Science Reports
笔记
Apr 03, 2024
Data Science
笔记
TODO
Apr 03, 2024
Database
笔记
Apr 03, 2024
Decision Trees
笔记
Apr 03, 2024
Descriptive Statistics
Apr 03, 2024
Dimensionality Reduction
笔记
Apr 03, 2024
Explanatory Statistics
笔记
Apr 03, 2024
Fourier Transform
笔记
Apr 03, 2024
Generative Adversarial Networks
笔记
Apr 03, 2024
Graph Convolutional Networks
笔记
Apr 03, 2024
Graph Neural Networks
笔记
todo
Apr 03, 2024
Hypergraph Neural Networks
笔记
Apr 03, 2024
IBM Data Science Professional Certificate
Apr 03, 2024
K-Means
Apr 03, 2024
Linear Models for Classification
Apr 03, 2024
Linear Regression
笔记
Apr 03, 2024
Logistic Regression
笔记
Apr 03, 2024
Loss Functions
笔记
Apr 03, 2024
Machine Learning
笔记
todo
任务
Apr 03, 2024
Neural Networks
笔记
TODO
Apr 03, 2024
Precision, Accuracy, Sensitivity, Specifitiy
Apr 03, 2024
PyTorch
笔记
Apr 03, 2024
R Programming
笔记
Apr 03, 2024
Recurrent Neural Network
笔记
TODO
Apr 03, 2024
Reinforcement Learning
笔记
todo
Apr 03, 2024
Residual Network
笔记