Here is a collection of the best tweets in the field of Machine Learning, Deep Learning and Mathematics.
My Threads (Profile)
Machine Learning and Deep Learning
- Starting with Machine Learning
- Writing Research Paper
- Autoencoders
- Knowledge Distillation
- Spiral Classification
- Linear And Non Linear Transformations
- Style Transfer
- Simulated Annealing
- Learning Rate and Log Scale
- Overfitting High Accuracy
- Move on from Basic Problems
- MNIST in 3D
- Time-Series Models
- Lessons from a Data Problem
- Precision and Recall
- Ensemble Techniques
- Convolutions 1D 2D 3D
- Calculating Convolution Shapes
- Backpropagation Intuition
- PCA on Fashion MNIST
- Interpretation and Flexibility
- Irreducible Error
- Embedding Preprocessing in Model
- YOLO Object Detection
- Neural Nets as Combination of Linear Methods
- Validation vs Test Set
- R2 in Regression explained
- Regressions in 3D
- Residual Analysis
- Validation vs Test Set
- Apriori
- Multicollinearity
- Z-Score Explanation
- Segmentation Performance Measure
- Simple Spam Classifier
- Image Similarity Intuition
- Communication in Data Science
- Survival Bias Fallacy
- Survival Bias Story
- Feature Scaling
- Deployed Model Drift
- Dropout
- Logic Gates
- Feature Selection Elimination
- KMeans Clustering
- Feature Selection Types
- Normalization vs Standardization
- Machine Learning Jargon Part1
- Machine Learning Jargon Part2
- Computer Vision Skills
- One-Hot Encoding
- Logistic Regression Name
- Probability vs Odds
- Catastrophic Forgetting
- Optimizers
- Assumptions of Linear Regression
- Mathematics Resources for Machine Learning
- Probabilistic Sampling Methods
- YAML
- How to learn Maths for Machine Learning
- Dropbox Image Search Algorithm
- Mean Absolute Percentage Error
- Activation Functions
- Need for Machine Learning Pipelines
- Components of Machine Learning Pipelines
- Machine Learning Pipeline Frameworks
- TFRecords
- Training-Serving Skew
- DAGs in Machine Learning
- MLOps and Challenges
- MLOps and Risk Mitigation
- GPT-3 and ChatGPT
- Using GPT-3
Python
- Keras Custom Generator
- Python Logger
- Sub List Operations
- Feature Importance
- Split and Join Keras Models
- Shuffle Arrays Synchronously
- Operations on Dates
- Splitting Joining Models
- Multiple Variable Assignment
- Ipython Cell Timing
- Decision Forests in Tensorflow
- Python Ellipsis
- Python Glob
- Set Operation for Data Curation
- Or as Short Circuit Operator
- Tensorflow Callbacks
- Zen of Python
- Existing Directories
- Eight Pandas Functions
- Function Annotation
- Corey Schafer Learning Resources
- Dict from Lists
- Reverse Dict
- System Command Run
- Confidence Interval Map
- Eval in Python
- Sorting Dictionaries
- Saving and Loading Numpy Arrays
- Raising Exceptions
- Args and Kwargs
- Useful Numpy Functions
- Joins in Pandas
- Merging Dictionaries
- Difference between Dates
Random Tips and Depictions*
- Machine Learning Overview
- Machine Learning Algorithms Map
- Skills FOr Data Science
- Confusion Matrix
- Precision Vs Recall
- Precision Vs Recall Handdrawn
- Visualization Cheatsheet
- Accuracy Vs Precision
- Python Versatility
- Amazon Forecast
- Normal Distribution Summary
- Data Science Pyramid
- Decision Boundaries
- Statistics Concept Map
- Common Machine Learning Steps
- Neural Network Recognizes Dog
- Supervised Learning Flow
- Time Management by Ankur Warikoo
- Learning SQL
Notes