Twitter

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 D