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Amortised Time Complexity

dsa

algorithms

data-structures

basics

time-complexity

Notes on amortised time complexity

Duplicate Items

dsa

algorithms

data-structures

basics

Analysis of different ways to solve finding duplicate items in an unsorted list

Anagram

dsa

algorithms

data-structures

basics

Analysis of different ways to solve finding out if two input strings are anagrams

Introduction to Distributed Systems

Architectural Principles and Challenges

architecture

computing

networking

infrastructure

Overview of distributed systems architecture, challenges, and implementation strategies

Introduction to Quantum Programming

programming

quantum

introduction

maths

Quantum Programming Concepts Introduction

Introduction to PostgreSQL

programming

sql

introduction

postgres

PostgreSQL Introduction

Inverting a Binary Tree

DSA

data-structures

introduction

algorithms

python

binary-tree

Binary Tree Inversion

Introduction to Binary Search

DSA

data-structures

introduction

algorithms

python

Binary Search Introduction

Introduction to Linked Lists

DSA

data-structures

introduction

linked-lists

python

Linked Lists Introduction

Division Based Hash Functions

DSA

data-structures

introduction

prime-numbers

hash-functions

Data Structures and Algorithms - Division Based Hash Functions

Introduction to Basic Data Structures

DSA

data structures

introduction

Data Structures and Algorithms - Basic Data Structures

Introduction to CEGIS

program-synthesis

CEGIS

introduction

Notes about counter example guided inductive programsynthesis

Introduction to Functional Programming In Python

programming

functional-programming

introduction

python

Notes about functional programming in python

Inductive Program Synthesis

programming

inductive-synthesis

algorithm

Notes about inductive program synthesis

Introduction to Program Synthesis

programming

introduction

program-synthesis

Notes about basic terms and concepts

Eigenvectors and Eigenvalues

math

linear-algebra

eigenvectors

eigenvalues

introduction

Eigenvectors and Eigenvalues

Basic Linear Algebra Concepts

jupyter

maths

linear-algebra

tensors

matrices

Examining some basic concepts of liner algebra using python libraries

Tensors and Tensor Operations

math

linear-algebra

tensors

Introduction to Linear Algebra

math

linear-algebra

introduction

Introduction and basic concepts of linear algebra

Training, Testing, Validation Datasets and Cross-Validation

data

ML

training

testing

validation

cross-validation

Defining the concepts of testing, training and validation sets

Data in ML

data

maths

statistics

ML

Data Types, Quality & Quantity

Feature Scaling in ML

data

maths

statistics

ML

feature-scaling

Rescaling, normalisation, standardisation

Forms of ML

data

maths

statistics

ML

Maths for ML

math

linear-algebra

statistics

calculus

Links to notes for maths for ML

Matrix Properties and Operations

math

linear-algebra

matrix

introduction

Matrix properties and Operations