Posts by Topic
algorithms
Clustering
Essential Reads - 8/15/2019
Stuff to Read, 12/14/21 (revisited)
Pricing algorithms & collusion
Understanding backward passes
Essential Reads (7/22/19) (updated)
Clever (Ruby) Algorithms
Book chapter summaries - deep learning, machine learning, various math
Linear Algebra, Machine Learning, Deep Learning articles (originally posted Dec2019)
Math (ML,DL,algos,prob,stats,...) Resources
Sorting (ADM)
deep-learning
Deep Learning - Goodfellow book notes (2019)
Essential Reads - July 2019
Transformer models - intro and catalog
LLM - large language model) survey - ArXiV
Stuff to Read, 12/14/21 (revisited)
What is Targeted Dropout?
Semantic Segmentation
Pose Estimation Techniques
Object Detection - An End to End Theoretical Perspective
Papers with code | SOTA
Real-Time Hand Tracking with MediaPipe (GoogleBlog)
Understanding backward passes
Book chapter summaries - deep learning, machine learning, various math
Linear Algebra, Machine Learning, Deep Learning articles (originally posted Dec2019)
Math (ML,DL,algos,prob,stats,...) Resources
DL with Python & DL with PyTorch - book notes
ML Cheatsheet (pdf)
Glossary of adversarial nets / GANs articles
Activation function articles
Up-sampling with Transposed Convolutions
Facial Recognition - Types of Attacks and Anti-Spoofing Techniques
Papers with Code
Kornia - Pytorch vision library
Dive into Deep Learning ebook
GANs (Venture Beat, Floydhub)
NLP - December 2019
Deep Learning / Data Science / Machine Learning / Probability / Stats - Dec'2019
CMOS Dec'2019
New approaches to Object Detection
machine-learning
Python resources
Essential Reads - July 2019
Clustering
Essential Reads - 8/15/2019
R language resources
Activations (Machine Learning)
Seaborn gallery
Stuff to Read, 12/26/2021 (revisited)
Scikit-Learn Guide notes
Feature Engineering Articles (2019)
Understanding backward passes
Essential Reads (8/2/2019)
Book chapter summaries - deep learning, machine learning, various math
Linear Algebra, Machine Learning, Deep Learning articles (originally posted Dec2019)
Math (ML,DL,algos,prob,stats,...) Resources
ML project from scratch
Data Science Interview Q&A
Pycaret Links
Sorting (ADM)
Data Structures (ADM)
ML Cheatsheet (pdf)
Activation function articles
Insurance Pricing with Tweedie
Paperspace Gradient Notebook
Milvus open-source vector similarity search engine
Deep Learning / Data Science / Machine Learning / Probability / Stats - Dec'2019
Social Media in China Survey - 2020
Twitter's Agency Playbook