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00. Prefix Sum & Line Swipe
01. Bit Manipulation
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05. Merge Intervals
06. Greedy Algorithms
07. Divide and Conquer
08. Dynamic Programming
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10. Union Find
11. Segment Tree
11. Segment Tree
Table of contents
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12. KMP Algorithm
13. Robin-Karp Algorithm
14. Z Algorithm
15. Boyer-Moore Voting Algorithm
Design Patterns
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Software Architecture Patterns
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Feature Scaling
Feature Engineering
Feature Selection
Handling Categorical Data
Data Splitting
Dimensionality Reduction
Models
Models
Linear Regression
Logistic Regression
Naive Bayes
K Nearest Neighbours
Support Vector Machine
Decision Tree
Ensemble Techniques
Dimensionality Reduction
Clustering
Recommendation Systems
Model Evaluation and Validation
Model Evaluation and Validation
Cross Validation Techniques
Performance Metrics for Classification
Performance Metrics for Regression
Bias Variance Tradeoff
Hyperparameter Tuning
Deep Learning
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Neural Networks Basics
Optimization Algorithms
Training Deep Networks
Computer Vision
Computer Vision
CNN Architectures
CNN Architectures
1. LeNet-5
2. AlexNet
3. VGGNet
4. GoogLeNet / InceptionNet
5. ResNet
6. MobileNet
7. XceptionNet
8. SqueezeNet
9. DenseNet
10. ShuffleNet
Evolution of CNN Architectures
Object Detection
Segmentation
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Optical Flow
Natual Language Processing
Natual Language Processing
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GRU
Gen AI
Gen AI
Restricted Boltzmann Machines
Variational Autoencoders
Generative Adverserial Network
Diffusion Models
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RAGs
Agents
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package manager and virtual environment
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Flask
Docker
Mlflow
ZenML
AI Inference & Acceleration Stack
AI Inference & Acceleration Stack
CUDA and cuDNN: Powering the Engine of Deep Learning
Inference Optimization Engines: Speeding Up AI Models for Real-World Deployment
Inference Serving Frameworks: Deploying AI Models at Scale
Edge AI Hardware Platforms: NVIDIA Jetson vs Raspberry Pi
Data Engineering
Data Engineering
Spark
Kafka
Flink
Table of contents
Theory
Problems
11. Segment Tree
Theory
Problems