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3-D Computer Vision: Principles, Algorithms and Applications

Author(s): Yu-Jin Zhang
Publisher: Springer, Year: 2023
ISBN: 9789811975806,9789811975790

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Comprehensive Metaheuristics: Algorithms and Applications

Author(s): Seyedali Mirjalili, Amir Hossein Gandomi
Publisher: Academic Press, Year: 2023
ISBN: 032391781X,9780323917810

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๐Ÿ”ฐComplete DSA Roadmap๐Ÿ”ฐ

|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| โ””โ”€ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | โ””โ”€ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | โ”” Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | โ”” Bellman-Ford_Algorithm
| | |
| | โ””โ”€ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | โ”” Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | โ””โ”€ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| โ””โ”€ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| โ””โ”€ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| โ””โ”€ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| โ””โ”€ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| โ””โ”€ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| โ””โ”€ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| โ””โ”€ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| โ””โ”€ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | โ””โ”€ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | โ””โ”€ Mobius_Function
| |
| โ””โ”€ String_Algorithms
| |-- KMP_Algorithm
| โ””โ”€ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank

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Data Structures and Algorithms Short Notes.pdf
367.5 KB
Data Structures and Algorithms Short Notes

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Free Big Data Courses

Complete Big Data
๐ŸŽฌ 13 video lesson
Duration โฐ: 2-3 hours worth of material
๐Ÿƒโ€โ™‚๏ธ Self paced
Source: Class Central
๐Ÿ”— COURSE LINK

Big Data 101 (Login Required)
โณModules: 6
Duration โฐ: 3 hours worth of material
๐Ÿƒโ€โ™‚๏ธ Self paced
Source: IBM via Cognitive Class
๐Ÿ”— COURSE LINK

Introduction to Big Data - an overview of the 10 V's
Ratingโญ๏ธ: 4.4 out 5
Students ๐Ÿ‘จโ€๐ŸŽ“ :15,630
Duration โฐ : 40min of on-demand video
Teacher ๐Ÿ‘จโ€๐Ÿซ: Taimur Zahid
๐Ÿ”— COURSE LINK

MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
๐ŸŽฌ 20 video lesson
Duration โฐ: 14 hours worth of material
๐Ÿƒโ€โ™‚๏ธ Self paced
Source: MIT open courseware
๐Ÿ”— Course Link

NOC:Big Data Computing, IIT Patna
๐ŸŽฌ 35 video lesson
โฐ 8 Modules
Taught by: Dr. Rajiv Misra
Source: NPTEL
๐Ÿ”— COURSE LINK

Algorithms for Big Data (COMPSCI 229r)
๐ŸŽฌ 25 video lesson
Duration โฐ: 34 hours worth of material
๐Ÿƒโ€โ™‚๏ธ Self paced
Source: Harvard University
๐Ÿ”— Course Link

NOC:Algorithms for Big Data, IIT Madras
๐ŸŽฌ 48 video lesson
โฐ 8 Modules
Taught by: Prof. John Augustine
Source: NPTEL
๐Ÿ”— COURSE LINK

Big Data Hadoop Tutorial for Beginners
๐ŸŽฌ 17 video lesson
Duration โฐ: 4-5 hours worth of material
๐Ÿƒโ€โ™‚๏ธ Self paced
Source: Great Learning
๐Ÿ”— Course Link

Big Data Analytics Full Course In 10 Hours | Big Data Hadoop Tutorial
๐ŸŽฌ 5 video lesson
Duration โฐ: 10 hours worth of material
๐Ÿƒโ€โ™‚๏ธ Self paced
Source: Great Learning
๐Ÿ”— Course Link

Big Data Analytics
โฐ Free Online Course
๐ŸŽฌ 70 video lesson
Duration โฐ: 19 hours worth of material
๐Ÿƒโ€โ™‚๏ธ Self paced
Source: caltech via youtube
๐Ÿ”— Course Link

Stanford Seminar - Big Data is (at least) Four Different Problems
โฐ Free Online Course
๐ŸŽฌ 27 video lesson
Duration โฐ: 1-2 hours worth of material
๐Ÿƒโ€โ™‚๏ธ Self paced
Source: Stanford Online via YouTube
๐Ÿ”— Course Link

#Big_Data
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Introduction to Algorithms
by MIT, Spring 2020

Instructor(s)
๐Ÿ‘จโ€๐Ÿซ

Prof. Erik Demaine
Dr. Jason Ku
Prof. Justin Solomon

๐ŸŽฌ 21 lecture video lessons
๐ŸŽฌ 3 quiz video lessons (4+ hours)
๐ŸŽฌ 8 problem video sessions (12 hours)


โฐ 40 hours of video

๐Ÿ”— Course home
๐Ÿ”— Lecture videos
๐Ÿ”— Resources

#dsa #algorithms #datastructures
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Vodafone is hiring Data Engineer

For 2023, 2022 grads

Apply Link - https://tinyurl.com/39sy2ym3

Digitech Sols is hiring for the role of Data Entry/MIS Specialist.

Experience - 1 to 6 Years
Location - WFH

Apply Link - https://tinyurl.com/3e8mjsf3

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Basic web development roadmap
๐ŸŸง
1.Learn: How websites work, front-end vs back-end, code editorโ€Œโ€Œ
๐ŸŸง
2: Basic front-end:
a. Html
b. Css
c. Javascript
Expected time 7+14+30=51 days.
๐ŸŸง
3. Learn front-end frameworks:
a. Learn css framework ( Bootstrap , Tailwind css , ...)
b. Learn JavaScript frameworks ( angular, react , vue...)

Expected time minimum 60 days.
๐ŸŸง
4. Learn database
a. MySQL
b. MongoDB
There are many more. Choose one and learn.
๐ŸŸง
5. Learn backend programming languages:
a. Php
b. Nodejs
There are many more. Learn any one.

Expected time: 60 days
๐ŸŸง
6. Do some projects and clone some websites.
โ–ซ๏ธโ–ซ๏ธ๐ŸŸงโ–ซ๏ธโ–ซ๏ธ

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You asked many times for data structures, especially in C language, so here you go:

DATA STRUCTURES LEARNING MATERIALS

Data Structures - Full Course Using C and C++
created by: freeCodeCamp
๐ŸŽฌ 42 video lecture
โฐ 10 hours of video materials
๐Ÿ”— COURSE LINK

Advaned data structures
By MIT
Teacher ๐Ÿ‘จโ€๐Ÿซ : Prof. Erik Demaine
๐ŸŽฌ 22 video lectures
โฐ 32h of video materials
๐Ÿ”— Course link
๐Ÿ”—
Video lessons

Programming, Data Structures and Algorithms
Teacher ๐Ÿ‘จโ€๐Ÿซ :Dr. P.P.Chakraborty
๐ŸŽฌ 31video lecture
โฐ 21h of video materials
๐Ÿ”—COURSE LINK

Introduction to Algorithms and Data structures in C++
Ratingโญ๏ธ: 4.2 out 5
Students ๐Ÿ‘จโ€๐ŸŽ“ : 119,549
Duration โฐ : 3hr 13min hours on-demand video
Teacher ๐Ÿ‘จโ€๐Ÿซ: Andrei Margeloiu
๐Ÿ”— Course link

Data structures playlist
by WilliamFiset
๐ŸŽฌ 14 video lessons
โฐ 9 hours worth of material
๐Ÿ”— Courses link

Programming, Data Structures and Algorithms, IIT Madras
Teachers ๐Ÿ‘จโ€๐Ÿซ: Prof. Hema A Murthy, Dr. N S. Narayanaswamy, Prof. Shankar Balachandran
๐ŸŽฌ61 video lectures
๐Ÿ”— COURSE LINK

Data Structures Concepts & Singly Linked List Implementation
Ratingโญ๏ธ: 4.3 out 5
๐ŸŽฌ 33 lecture
โฐ 1hr 34min duration
๐Ÿ‘จโ€๐Ÿซ Chaand Sheikh, Gaurav Bhorkar
๐Ÿ”— COURSE LINK

Data Structures and Algorithms for Beginners
by Mosh, on YouTube
โฐ 1hr 18min duration
๐Ÿ”— COURSE LINK


Data structures articles
๐Ÿ”— Data structure with C article link
๐Ÿ”— Data strictires javatpoint
๐Ÿ”— GeeksForGeeks

Algorithms, Notes for professionals book
๐Ÿ”— Book link


#datastructures
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Computer Science 61B, 002 - Spring 2015
Data structures
by UC Berkeley (University of California)


๐Ÿ‘จโ€๐Ÿซ Teacher: Joshua A. Hug
๐ŸŽฌ 37 video lessons
โฐ 35 hours
โœ… Free

๐Ÿ”— Course link

#datastructures #algorithms #cs #dsa
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ECS 36C: Data Structures, Algorithms, and Programming

ECS 36C is a course that I really enjoy teaching as it represents such a crucial experience in the studentsโ€™ learning experience. It is the course that ends the introductory series and enables students to start taking most of the upper-division courses.

โฐ Free Online Course
๐ŸŽฌ Video lessons
Duration โฐ: 10 Weeks
๐Ÿƒโ€โ™‚๏ธ Self paced
๐Ÿ‘จโ€๐Ÿซ Teacher: Joรซl Porquet-Lupine
Offered by: lupteach

๐Ÿ”— Course link

#Data_Structure #Algorithms #dsa #data_structures_and_algorithms
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Apply Now๐Ÿ‘‰๐Ÿป Free Guidance for your Placement & Get Hired

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Learn how Google PMs validate real user needs before writing a single line of code

Join our FREE MASTERCLASS by PW Skills:

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๐Ÿ—“ Date: Sunday, 11 May 2025
โฐ Time: 4:00 PM โ€“ 6:00 PM
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Struggling to land interviews at your dream companies, even after applying to 100+ jobs?

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2025/06/12 09:48:18
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