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AWS Final Exam Notes
Computer Science
C++- Multithreading and Socket Programming
C++ Concurrency in Action
C++ Concurrency in Action
Chapter 2- Managing Threads
C++- Multithreading and Socket Programming
Deep Learning
Chapter 1 - What is Deep Learning
Chapter 1 - What is Deep Learning
Chapter 2 - The mathematical building blocks of neural networks
Chapter 2 - The mathematical building blocks of neural networks
Chapter 3- Basic Models
Chapter 3- Basic Models
Chapter 4- Getting started with NN- Classification and Regression
Chapter 4- Getting started with NN- Classification and Regression
Chapter 5- Fundamentals of Machine Learning
Chapter 5- Fundamentals of Machine Learning
Chapter 7- Working with keras — a deep dive
Chapter 7- Working with keras — a deep dive
Chapter 8- Introduction to deep learning for computer vision
Chapter 8- Introduction to deep learning for computer vision
Chapter 8- Part II
Chapter 8- Part II
Chapter 9- Advanced Deep Learning for Computer Vision
Equivariance + Invariance
Equivariance + Invariance
Chapter 9- Advanced Deep Learning for Computer Vision
Chapter 10- Deep learning for time-series
Chapter 10- Deep learning for time-series
Multi-Modal Deep Learning Model
Multi-Modal Deep Learning Model
Additional Notes
Chapter 3 - Tensorflow Intro
Chapter 6- The universal workflow of machine learning
Chapter 9- Part II
Deep Learning
Keras Technical Notes
languages_frameworks
Apache Kafka
Apache Kafka
Java
Section 1
Section 1
Section 2
Section 2
Section 3
Section 3
Section 4
Section 4
Section 5
Section 5
Section 6
Section 6
Section 7
Section 7
Section 8
Section 8
Section 9
Section 9
Section 10
Section 10
Section 11
Section 11
Section 12
Section 12
Future and Completable Future
Java
Springboot - Small Notes
JavaScript
JavaScript
Note 1
Note 2
Note 3
Note 4
Note 5
Note 6
Note 7
Note 8
Note 9
Note 10
LeetCode Notes
1765. Map of Highest Peak
1765. Map of Highest Peak
Learned New Data Structures
LeetCode Notes
Nest JS
DEPENDENCY INJECTION
DEPENDENCY INJECTION
Nest 1
Nest 1
Nest 2
Nest 2
Nest 3
Nest 3
Nest 4
Nest 4
Nest JS
Node JS
Node 3
Node 3
Node 4
Node 4
Node 6
Node 6
Node 7
Node 7
Node 8
Node 8
Node 9
Node 9
Node 11
Node 11
Introduction
Node 1
Node 2
Node 5
Node 10
Node JS
PHP - Notes
PHP - Notes
Python
Python
RabbitMQ Notes
RabbitMQ Notes
React.js
React 3
React 3
React 1
React 2
React 4
React.js
Redis Caching Notes
Redis Caching Notes
SpringBoot
Future and Completable Future
Future and Completable Future
Oauth2.0
Oauth2.0
Optional
Optional
Starting Spring Boot Project
Starting Spring Boot Project
ResponseEntity
SpringBoot
SQL + MySQL Notes
SQL + MySQL Notes
Swift
Building Lists and Navigation
Building Lists and Navigation
Creating and Combining Views
Creating and Combining Views
Swift Introduction
Swift Introduction
Swift
TypeScript
Briefing
Note 1
Note 2
Note 3
Note 4
TypeScript
CS-TOOLS
Leetcode
Dynamic Programming
PrefixQuestions
PrefixFrequency
PrefixFrequency
PrefixSum
PrefixSum
PrefixQuestions
Dynamic Programming
List of Good DP Questions on Leetcode
Graphs
Leetcode
School
bet210
Module 1- Business Processes
Module 1- Business Processes
Module 2- Business Process Modelling
Module 2- Business Process Modelling
Module 3- Basic IT Infrastructure
Module 3- Basic IT Infrastructure
Module 4- Computing in the Cloud
Module 4- Computing in the Cloud
bet210
cs240
cs240 - Final Exam Notes
cs240 - Final Exam Notes
cs240 - List of Algorithms
cs240 - List of Algorithms
cs240 - MT Study Notes
cs240 - MT Study Notes
cs240
cs241
CS241 - MT Review Questions
CS241 - MT Review Questions
Lecture 9
Lecture 9
Lecture 10
Lecture 10
Lecture 11
Lecture 11
Lecture 12
Lecture 12
Lecture 13
Lecture 13
Lecture 14
Lecture 14
Lecture 15
Lecture 15
Lecture 16
Lecture 16
Lecture 17
Lecture 17
Lecture 18
Lecture 18
Lecture 19
Lecture 19
Lecture 20
Lecture 20
Lecture 21
Lecture 21
Module 2 (AKA Lectures 1 - 8)
Module 2 (AKA Lectures 1 - 8)
cs241
cs246
cs246
Lecture 1
Lecture 2
Lecture 3
Lecture 4
Lecture 5
Lecture 6
Lecture 7
Lecture 8
Lecture 9
Lecture 10
Lecture 11
Lecture 12
Lecture 13
Lecture 14
Lecture 15
Lecture 16
Lecture 17
Lecture 18
Lecture 19
Lecture 20
Lecture 21
Lecture 22
Lecture 23
Lecture 24
cs251
CS251 - Final Exam Notes
CS251 - Final Exam Notes
Lecture 1
Lecture 1
Lecture 2
Lecture 2
Lecture 3
Lecture 3
cs251
Lecture 4
cs341
Assignment 5
Assignment 5
Question 1
Question 2
Question 3
Question 4
Lecture 4
Lecture 4
Lecture 5
Lecture 5
Lecture 6
Lecture 6
Lecture 7
Lecture 7
Lecture 8
Lecture 8
Lecture 10- Graph Algorithms 1
Lecture 10- Graph Algorithms 1
Lecture 11- finishing BFS, Starting DFS
Lecture 11- finishing BFS, Starting DFS
Lecture 12- DAG Testing, Topsort, SCC
Lecture 12- DAG Testing, Topsort, SCC
Lecture 13- Minimum Spanning Trees
Lecture 13- Minimum Spanning Trees
Lecture 14- Single Source Shortest Path
Lecture 14- Single Source Shortest Path
Lecture 15- All Pairs Shortest Paths
Lecture 15- All Pairs Shortest Paths
Lecture 16- Max Flow
Lecture 16- Max Flow
Lecture 17- Max Flow 2
Lecture 17- Max Flow 2
Lecture 18- Applications of Max Flow
Lecture 18- Applications of Max Flow
Lecture 19- Complexity Intro & Reductions I
Lecture 19- Complexity Intro & Reductions I
Lecture 20- Reductions II
Lecture 20- Reductions II
Lecture 21- Intractability I
Lecture 21- Intractability I
Lecture 22- NP Completeness
Lecture 22- NP Completeness
A2 - Pseudocode
A4 - Pseudocode
cs341
Lecture 9
cs348
Lecture 1
Lecture 1
cs348
Lecture 2
cs350
Assignment Notes
Assignment 1 - Notes
Assignment Notes
Lecture 1
Lecture 1
Lecture 2,3
Lecture 2,3
Lecture 4
Lecture 4
Lecture 5-6
Lecture 5-6
Lecture 7
Lecture 7
Lecture 8
Lecture 8
Protection is the responsibility of the application writer (the user)
Lecture 9
Lecture 9
Lecture 10
Lecture 10
Lecture 11
Lecture 11
Lecture 12
Lecture 12
Lecture 13
Lecture 13
Lecture 15- VM Hardware 1
Lecture 15- VM Hardware 1
Lecture 16
Lecture 16
Lecture 17- VM OS
Lecture 17- VM OS
Lecture 18
Lecture 18
Lecture 19- VM and File Systems
Lecture 19- VM and File Systems
Lecture 20- File Systems
Lecture 20- File Systems
Lecture 21- File Systems Continued
Lecture 21- File Systems Continued
Lecture 22- File Systems and Scheduling
Lecture 22- File Systems and Scheduling
Lecture 23- Scheduling
Lecture 23- Scheduling
Lecture 24- I-O
Lecture 24- I-O
cs350
Lecture 14-
MT Notes - Summary
MT Prac Notes
cs480
Chapter 1- Perceptron
Chapter 2- Linear Regression
Chapter 3- Support Vector Machines
Chapter 4- Kernels
Chapter 5- Fully Connected Neural Network
Chapter 6 - Convolutional Neural Networks
Chapter 7 - RNN'S and Transformer Architecture Part 1
Chapter 7 - Transformer Architecture Part 2
Chapter 8 - Graph Neural Networks
Chapter 9 - Decision Trees and Ensemble Methods
stat231
Chapter 1
Chapter 1
q3
q3
R Introduction Tutorial
R Introduction Tutorial
R Tutorial A1
R Tutorial A1
A4
Assignment 1
q2
q4
stat231
School
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Keras Technical Notes
Keras Technical Notes
Jul 08, 2024
1 min read
Reading in Data from csv file
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