Kyle_Loudon_Mastering_algorithms_with_C_1999,_O'Reilly_Media.chm
1.9 MB
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Title: Spoken language processing: guide to algorithms and system development
Author(s): Xuedong Huang, Alex Acero, Hsiao-Wuen Hon
Publisher: Prentice Hall
Year: 2001
ISBN: 9780130226167,0130226165
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Author(s): Xuedong Huang, Alex Acero, Hsiao-Wuen Hon
Publisher: Prentice Hall
Year: 2001
ISBN: 9780130226167,0130226165
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Xuedong_Huang,_Alex_Acero,_Hsiao_Wuen_Hon_Spoken_language_processing.pdf
10.4 MB
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Computer Science 61B, 002 - Spring 2015
Data structures
by UC Berkeley (University of California)
π¨βπ« Teacher: Joshua A. Hug
π¬ 37 video lessons
β° 35 hours
β Free
π Course link
#datastructures #algorithms #cs #dsa
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Data structures
by UC Berkeley (University of California)
π¨βπ« Teacher: Joshua A. Hug
π¬ 37 video lessons
β° 35 hours
β Free
π Course link
#datastructures #algorithms #cs #dsa
ββββββββββββββ
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Systems Analysis by Graphs and Matroids: Structural Solvability and Controllability
Author(s): Dr. Kazuo Murota (auth.)
Series: Algorithms and Combinatorics 3
Publisher: Springer-Verlag Berlin Heidelberg, Year: 1987
ISBN: 978-3-540-17659-6,978-3-642-61586-3
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Author(s): Dr. Kazuo Murota (auth.)
Series: Algorithms and Combinatorics 3
Publisher: Springer-Verlag Berlin Heidelberg, Year: 1987
ISBN: 978-3-540-17659-6,978-3-642-61586-3
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Algorithms_and_Combinatorics_3_Dr_Kazuo_Murota_auth_Systems_Analysis.pdf
5.5 MB
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Bifurcation: Analysis, Algorithms, Applications: Proceedings of the Conference at the University of Dortmund, August 18β22, 1986
Author(s): Dr. Wolf-JΓΌrgen Beyn (auth.), T. KΓΌpper, R. Seydel, H. Troger (eds.)
Series: ISNM 79: International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / SΓ©rie internationale dβAnalyse numΓ©rique 79
Publisher: BirkhΓ€user Basel, Year: 1987
ISBN: 978-3-0348-7243-0,978-3-0348-7241-6
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Author(s): Dr. Wolf-JΓΌrgen Beyn (auth.), T. KΓΌpper, R. Seydel, H. Troger (eds.)
Series: ISNM 79: International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / SΓ©rie internationale dβAnalyse numΓ©rique 79
Publisher: BirkhΓ€user Basel, Year: 1987
ISBN: 978-3-0348-7243-0,978-3-0348-7241-6
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ISNM_79_International_Series_of_Numerical_Mathematics_Internationale.pdf
14.2 MB
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Discrete Algorithms and Complexity. Proceedings of the JapanβUS Joint Seminar, June 4β6, 1986, Kyoto, Japan
Author(s): David S. Johnson, Takao Nishizeki, Akihiro Nozaki, Herbert S. Wilf
Series: Perspectives in Computing
Publisher: Elsevier Inc, Academic Press, Year: 1987
ISBN: 978-0-12-386870-1,012386870X
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Author(s): David S. Johnson, Takao Nishizeki, Akihiro Nozaki, Herbert S. Wilf
Series: Perspectives in Computing
Publisher: Elsevier Inc, Academic Press, Year: 1987
ISBN: 978-0-12-386870-1,012386870X
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Perspectives_in_Computing_David_S_Johnson,_Takao_Nishizeki,_Akihiro.pdf
24.6 MB
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Algorithms and Discrete Applied Mathematics: 9th International Conference, CALDAM 2023, Gandhinagar, India, February 9β11, 2023, Proceedings
Author(s): Amitabha Bagchi, Rahul Muthu
Series: Lecture Notes in Computer Science, 13947
Publisher: Springer, Year: 2023
ISBN: 3031252101,9783031252105
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Author(s): Amitabha Bagchi, Rahul Muthu
Series: Lecture Notes in Computer Science, 13947
Publisher: Springer, Year: 2023
ISBN: 3031252101,9783031252105
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Lecture_Notes_in_Computer_Science,_13947_Amitabha_Bagchi,_Rahul.pdf
9.3 MB
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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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Author(s): Yu-Jin Zhang
Publisher: Springer, Year: 2023
ISBN: 9789811975806,9789811975790
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Yu_Jin_Zhang_3_D_Computer_Vision_Principles,_Algorithms_and_Applications.pdf
10.4 MB
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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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Author(s): Seyedali Mirjalili, Amir Hossein Gandomi
Publisher: Academic Press, Year: 2023
ISBN: 032391781X,9780323917810
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Seyedali_Mirjalili,_Amir_Hossein_Gandomi_Comprehensive_Metaheuristics.pdf
22 MB
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π°Complete DSA Roadmapπ°
|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| ββ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | ββ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | β Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | β Bellman-Ford_Algorithm
| | |
| | ββ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | β Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | ββ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| ββ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| ββ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| ββ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| ββ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| ββ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| ββ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| ββ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| ββ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | ββ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | ββ Mobius_Function
| |
| ββ String_Algorithms
| |-- KMP_Algorithm
| ββ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank
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|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| ββ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | ββ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | β Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | β Bellman-Ford_Algorithm
| | |
| | ββ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | β Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | ββ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| ββ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| ββ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| ββ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| ββ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| ββ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| ββ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| ββ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| ββ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | ββ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | ββ Mobius_Function
| |
| ββ String_Algorithms
| |-- KMP_Algorithm
| ββ 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
π¬ 13 video lesson
Duration β°: 2-3 hours worth of material
πββοΈ Self paced
Source: Class Central
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Big Data 101 (Login Required)
β³Modules: 6
Duration β°: 3 hours worth of material
πββοΈ Self paced
Source: IBM via Cognitive Class
π COURSE LINK
Introduction to Big Data - an overview of the 10 V's
RatingβοΈ: 4.4 out 5
Students π¨βπ :15,630
Duration β° : 40min of on-demand video
Teacher π¨βπ«: Taimur Zahid
π COURSE LINK
MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
π¬ 20 video lesson
Duration β°: 14 hours worth of material
πββοΈ Self paced
Source: MIT open courseware
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NOC:Big Data Computing, IIT Patna
π¬ 35 video lesson
β° 8 Modules
Taught by: Dr. Rajiv Misra
Source: NPTEL
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Algorithms for Big Data (COMPSCI 229r)
π¬ 25 video lesson
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πββοΈ Self paced
Source: Harvard University
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NOC:Algorithms for Big Data, IIT Madras
π¬ 48 video lesson
β° 8 Modules
Taught by: Prof. John Augustine
Source: NPTEL
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Big Data Hadoop Tutorial for Beginners
π¬ 17 video lesson
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πββοΈ Self paced
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Big Data Analytics Full Course In 10 Hours | Big Data Hadoop Tutorial
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Big Data Analytics
β° Free Online Course
π¬ 70 video lesson
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Stanford Seminar - Big Data is (at least) Four Different Problems
β° Free Online Course
π¬ 27 video lesson
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π Course Link
#Big_Data
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Complete Big Data
π¬ 13 video lesson
Duration β°: 2-3 hours worth of material
πββοΈ Self paced
Source: Class Central
π COURSE LINK
Big Data 101 (Login Required)
β³Modules: 6
Duration β°: 3 hours worth of material
πββοΈ Self paced
Source: IBM via Cognitive Class
π COURSE LINK
Introduction to Big Data - an overview of the 10 V's
RatingβοΈ: 4.4 out 5
Students π¨βπ :15,630
Duration β° : 40min of on-demand video
Teacher π¨βπ«: Taimur Zahid
π COURSE LINK
MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
π¬ 20 video lesson
Duration β°: 14 hours worth of material
πββοΈ Self paced
Source: MIT open courseware
π Course Link
NOC:Big Data Computing, IIT Patna
π¬ 35 video lesson
β° 8 Modules
Taught by: Dr. Rajiv Misra
Source: NPTEL
π COURSE LINK
Algorithms for Big Data (COMPSCI 229r)
π¬ 25 video lesson
Duration β°: 34 hours worth of material
πββοΈ Self paced
Source: Harvard University
π Course Link
NOC:Algorithms for Big Data, IIT Madras
π¬ 48 video lesson
β° 8 Modules
Taught by: Prof. John Augustine
Source: NPTEL
π COURSE LINK
Big Data Hadoop Tutorial for Beginners
π¬ 17 video lesson
Duration β°: 4-5 hours worth of material
πββοΈ Self paced
Source: Great Learning
π Course Link
Big Data Analytics Full Course In 10 Hours | Big Data Hadoop Tutorial
π¬ 5 video lesson
Duration β°: 10 hours worth of material
πββοΈ Self paced
Source: Great Learning
π Course Link
Big Data Analytics
β° Free Online Course
π¬ 70 video lesson
Duration β°: 19 hours worth of material
πββοΈ Self paced
Source: caltech via youtube
π Course Link
Stanford Seminar - Big Data is (at least) Four Different Problems
β° Free Online Course
π¬ 27 video lesson
Duration β°: 1-2 hours worth of material
πββοΈ Self paced
Source: Stanford Online via YouTube
π Course Link
#Big_Data
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Introduction to Algorithms
by MIT, Spring 2020
Instructor(s) π¨βπ«
Prof. Erik Demaine
Dr. Jason Ku
Prof. Justin Solomon
π¬ 21 lecture video lessons
π¬ 3 quiz video lessons (4+ hours)
π¬ 8 problem video sessions (12 hours)
β° 40 hours of video
π Course home
π Lecture videos
π Resources
#dsa #algorithms #datastructures
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by MIT, Spring 2020
Instructor(s) π¨βπ«
Prof. Erik Demaine
Dr. Jason Ku
Prof. Justin Solomon
π¬ 21 lecture video lessons
π¬ 3 quiz video lessons (4+ hours)
π¬ 8 problem video sessions (12 hours)
β° 40 hours of video
π Course home
π Lecture videos
π Resources
#dsa #algorithms #datastructures
ββββββββββββββ
Join our Community π
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