My Datascience Journey
Home
Projects
Notes
Study
blogs
Python Package
Anomaly Detection
Anomaly Based IDS using ML
Anomaly Detection using online Event logs
Anomaly detection in dynamic graphs using MIDAS-R
Anomaly Detection using Unsupervised methods
3D Deep Learning
3D Data Formats
3D coordination systems
3D Rendering
Fitting Deformable Mesh Models to Raw Point Clouds
Differentiable Rendering
Neural Radiance Fields (NeRF)
Resources
ML Algorithms
Boosting
LogitBoost
Gradient Boosting
LightGBM
XGBoost
Catboost
Data Architecture
Big Data Architectures
Data Quality for ML
Feature Store
MLOPS
Model Deployment
Model Monitoring
Data Engineering
Azure Data Lake Storage Gen2
Azure Synapse Analytics
Transformers
Transformer Code Implementation
Computer Vision Using Transformers
Attention is all you need
Attention
Transformer
BERT
Transformers from Scratch
An Image is worth 16X16 Words
Vision Transformers (ViT)
How to Train Your ViT
Resources
Interpretable_ml
Introduction
Linear regression
Logistic Regression
Explainable Boosting Machines
Generalized Linear Models (GLM)
Decision Trees
Rulefit
Naive Bayes
Global Model Agnostic Methods
Local Model-Agnostic Methods
CNN Interpretation
Neural GAMs
Resources
Editable Interpretable Models
Linear Algebra
System of Linear Equations
Solving linear Equations
Vector Algebra
Linear Transformations
Determinants
Eigenvalues and Eigenvectors
linear_algebra/07_svd.qmd
Linear Algebra Resources
Graph Machine Learning
Graph Machine Learning
Resources
Graph Theory
Recommender Systems
Recommendation System Presentations
Industry Usecases
AI Use cases for the Insurance Industry
Powering OTT With Data Science
Bayesian Analysis
Bayesian Analysis
Resources
Causal Inference
Intro
Randomised Experiments
Stats Revisited
Graphical Causal Models
Packages
Computer Vision
Architecture for Image Classification
CNN Architectures
Coding Inception, ResNet and DenseNet Blocks
Object Detection - Part 1
Object Detection - Part 11
Anchor Boxes
Image Classification and Localization
You Only Look Once (YOLO)
Images Classification Implementation
Image Segmentation
Image Segmentation
Architecutures for Image segmentation
OneFormer: One Transformer to rule Universal Image Segmentation
NLP
Text Preprocessing
Information Extraction
RNN & LSTM
Starspace
Transformer Family of Models
Text Summarization
GPT
BERT
Chatbots
Question Answering (QA)
Algorithms for Chatbot
InstructGPT
Making Transformers efficient in Production
Instruction Finetuned Text Embeddings
Data Science Project Lifecycle
Sampling
Training
Feature Engineering
ML Algorithms
Gradient Descent
Regularization
Model Development
Why ML system fails
MlOps
Resources
Math for AI
Introduction
Distributions
Fitting functions to data
Gradient Descent, Activations and Regularisation
Time Series
Time Series Introduction
Exploratory Analysis
Simulating Time Series Data
Feature Engineering for Time Series
Feature Engineering for Time Series
ML for Time Series
packages for Time series
Geograhic Data Processing
Geographic Data
Visualizing Buildings in a location along with its Area
Spatial Analysis using Geopandas
Coordinate Reference Systems (CRS)
Data Visualization using Folium
OpenStreetMap
Converting Data from Raster to Tabular (Geometry) format
Machine learning Implementations
EDA on Telecom Churn Data
Telecom Churn Prediction
Data Quality
Ensuring Data Quality
Create a new Datasource
Initialize a new Expectation Suite by profiling a batch of your data.
Create Checkpoint
Unsupervised Machine Learning
Dimensionality Reduction
PCA
Singular Value Decomposition
Latent Dirichlet Allocation
Multi Dimensional Scaling
T-SNE (T distributed - Stochastic Neighbour Embedding)
Data Privacy
Approaches to Data privacy
Differential Privacy
Distributed Processing
Fugue
Fugue Quickstart
FugueSQL
Pytorch
Introduction to PyTorch
Simple Neural Network in Pytorch
Activation Functions
Pytorch Lightning
Python
Introduction to Dictionary
Iterating through a dictionary
Handling JSON in Python
Pandas 101
Pivot Table and Grouping in Pandas
DSA
Insertion Sort
Selection Sort
Bubble Sort
Merge Sort
Quick Sort
Binary Search
Binary Search Tree
Find Closest Value in BST
System Design
Step by Step Guide for System Design
Scaling web services to millions of users
probability
Probability
pyspark
Installing Spark
Hands-on Introduction to DataFrame API
Pandas API on Spark
Spark SQL
Tuning and Optimizing Spark
Spark Joins
Building Delta Lakes with Apache Spark
Why Me
Why me
On this page
InstructGPT
How ChapGPT is Trained
InstructGPT
How ChapGPT is Trained
ChapGPT is trained in three main stages
Generative pretraining
Supervised fine-tuning (SFT)
Reinforcement learning from human feedback (RLHF)
