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This file contains the contents about dynamic programming, greedy approach, graph algorithm, spanning tree concepts, backtracking and branch and bound approach.
Daa notes 2
Daa notes 2
smruti sarangi
Introduction to Software Engineering Lecture 0
Introduction to Software Engineering Lecture 0
Introduction to Software Engineering Lecture 0
Mohamed Essam
State Space Representation and Search
State Space Representation and Search
State Space Representation and Search
Hitesh Mohapatra
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Chapter 4 (final)
Chapter 4 (final)
Nateshwar Kamlesh
Artificial Intelligence Notes Unit 3 as according to CSVTU Syllabus for CSE 8th Sem
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Artificial Intelligence Notes Unit 4
DigiGurukul
Kolaborasi jQuery, AJAX, PHP, dan MySQL
Kolaborasi jQuery, AJAX, PHP, dan MySQL
Kolaborasi jQuery, AJAX, PHP, dan MySQL
I Putu Arya Dharmaadi
The Pseudocode Programming process, Code Complete, Author : Steven C. McConnell.
The pseudocode
The pseudocode
Asha Sari
Penjelasan tehnik yang digunakan dalam OOP (Oriented Programming Program)
Pewarisan (inheritance) pada JAVA
Pewarisan (inheritance) pada JAVA
dyko ananta
Recommandé
This file contains the contents about dynamic programming, greedy approach, graph algorithm, spanning tree concepts, backtracking and branch and bound approach.
Daa notes 2
Daa notes 2
smruti sarangi
Introduction to Software Engineering Lecture 0
Introduction to Software Engineering Lecture 0
Introduction to Software Engineering Lecture 0
Mohamed Essam
State Space Representation and Search
State Space Representation and Search
State Space Representation and Search
Hitesh Mohapatra
AI notes
Chapter 4 (final)
Chapter 4 (final)
Nateshwar Kamlesh
Artificial Intelligence Notes Unit 3 as according to CSVTU Syllabus for CSE 8th Sem
Artificial Intelligence Notes Unit 4
Artificial Intelligence Notes Unit 4
DigiGurukul
Kolaborasi jQuery, AJAX, PHP, dan MySQL
Kolaborasi jQuery, AJAX, PHP, dan MySQL
Kolaborasi jQuery, AJAX, PHP, dan MySQL
I Putu Arya Dharmaadi
The Pseudocode Programming process, Code Complete, Author : Steven C. McConnell.
The pseudocode
The pseudocode
Asha Sari
Penjelasan tehnik yang digunakan dalam OOP (Oriented Programming Program)
Pewarisan (inheritance) pada JAVA
Pewarisan (inheritance) pada JAVA
dyko ananta
Knowledge representation in AI
Knowledge representation in AI
Vishal Singh
Materi yang ada pada slide ini berisi : Apa itu generic programming Konsep tipe object Konsep Tag generic<E> Collection Iterator Arraylist LinkedList Stack PriorityQueue HashMap ---------------------------------------------------------------------- Keep in touch with me in : Email : rizkiadamunikom@gmail.com
[PBO] Pertemuan 10 - Generic Programming & Collection
[PBO] Pertemuan 10 - Generic Programming & Collection
rizki adam kurniawan
CS502
Booth and bit pair encoding
Booth and bit pair encoding
Basit Ali
Membuat mvc framework sederhana dengan php
Membuat mvc framework sederhana dengan php
Cahya Dwiana SN
What Is AI: Foundations, History and State of the Art of AI. Intelligent Agents: Agents and Environments, Nature of Environments, Structure of Agents. Problem Solving by searching: Problem-Solving Agents, Example Problems,Searching for Solutions, Uninformed Search Strategies, Informed (Heuristic) Search Strategies, Heuristic Functions. Learning from Examples: Forms of Learning, Supervised Learning, Learning Decision Trees, Evaluating and Choosing the Best Hypothesis, Theory of Learning, Regression and Classification with Linear Models, Artificial Neural Networks, Nonparametric Models, Support Vector Machines, Ensemble Learning, Practical Machine Learning Learning probabilistic models: Statistical Learning, Learning with Complete Data, Learning with Hidden Variables: The EM Algorithm. Reinforcement learning: Passive Reinforcement Learning, Active Reinforcement Learning, Generalization in Reinforcement Learning, Policy Search, Applications of Reinforcement Learning.
TYBSC CS SEM 5 AI NOTES
TYBSC CS SEM 5 AI NOTES
WE-IT TUTORIALS
Python
PROBLEM SOLVING TECHNIQUES USING PYTHON.pptx
PROBLEM SOLVING TECHNIQUES USING PYTHON.pptx
BELMERGLADSONAsstPro
AI notes
Chapter 1 (final)
Chapter 1 (final)
Nateshwar Kamlesh
P, NP, NP-Complete, and NP-Hard Reductionism in Algorithms NP-Completeness and Cooks Theorem NP-Complete and NP-Hard Problems Travelling Salesman Problem (TSP) Travelling Salesman Problem (TSP) - Approximation Algorithms PRIMES is in P - (A hope for NP problems in P) Millennium Problems Conclusions
P, NP, NP-Complete, and NP-Hard
P, NP, NP-Complete, and NP-Hard
Animesh Chaturvedi
Inference rules for quantifiers, Unification and lifting, generalized modus ponens, unification.
Unification and Lifting
Unification and Lifting
Megha Sharma
Deep learning goes beyond the traditional machine learning of big data and analytics. In this session, we will review the AWS offering, Amazon Machine Learning, and the AWS GPU-intensive family of servers that run native machine learning and deep-learning algorithms. We will also cover some basic deep-learning algorithms using open source software. Session sponsored by Day1 Solutions.
(BDT311) Deep Learning: Going Beyond Machine Learning
(BDT311) Deep Learning: Going Beyond Machine Learning
Amazon Web Services
untuk lebih mengetahui apa itu pararel procesing
Presentasi komputasi Pararel Procesing
Presentasi komputasi Pararel Procesing
Rahmawan06
Basic of JavaScript
JavaScript Dasar.pdf
JavaScript Dasar.pdf
sulfanaidid1
project relate the conversion of fuzzy language to natural languages...
Fuzzy logic
Fuzzy logic
manojsonkar
Frames
Frames
amitp26
CG mini project
CG mini project
Mohammed Dawood
Graphical Password Authenticationimp.docx2
Graphical Password Authenticationimp.docx2
Raghu Vamsy Sirasala
1 pengenalan-konsep-imk
1 pengenalan-konsep-imk
Stevie Principe
It was a team project developed for library system using JavaFx and SceneBuilder (with CSS). It covers the practical aspect of turning the class & sequence diagrams into code.
Library System Implementation with JavaFx
Library System Implementation with JavaFx
Jivan Nepali
Artificial Intelligence Unit 2 Notes for CSE 8th Semester (A/c to CSVTU, Bhilai Syllabus)
Artificial Intelligence Notes Unit 2
Artificial Intelligence Notes Unit 2
DigiGurukul
...
Recursive algorithms
Recursive algorithms
subhashchandra197
Oficial Alaska travel planner 2011 - Guía oficial de viajes de Alaska 2011
Alaska travel 2011 - Guía oficial de viaje a Alaska 2011
Alaska travel 2011 - Guía oficial de viaje a Alaska 2011
Tierras Polares Viajes y Expediciones
As a Correspondent I had the privilege of attending, photographing and covering the first ever Kolkata Fashion Week. It an eye-opening experience, but fun and unique all the same. I got on so well with the event management company that they virtually pleaded for me to return to cover the next installment of the event. Unfortunately, I had to decline as I was on my way to University.
Feature - Kolkata Fashion Week
Feature - Kolkata Fashion Week
Monita Mohan
Contenu connexe
Tendances
Knowledge representation in AI
Knowledge representation in AI
Vishal Singh
Materi yang ada pada slide ini berisi : Apa itu generic programming Konsep tipe object Konsep Tag generic<E> Collection Iterator Arraylist LinkedList Stack PriorityQueue HashMap ---------------------------------------------------------------------- Keep in touch with me in : Email : rizkiadamunikom@gmail.com
[PBO] Pertemuan 10 - Generic Programming & Collection
[PBO] Pertemuan 10 - Generic Programming & Collection
rizki adam kurniawan
CS502
Booth and bit pair encoding
Booth and bit pair encoding
Basit Ali
Membuat mvc framework sederhana dengan php
Membuat mvc framework sederhana dengan php
Cahya Dwiana SN
What Is AI: Foundations, History and State of the Art of AI. Intelligent Agents: Agents and Environments, Nature of Environments, Structure of Agents. Problem Solving by searching: Problem-Solving Agents, Example Problems,Searching for Solutions, Uninformed Search Strategies, Informed (Heuristic) Search Strategies, Heuristic Functions. Learning from Examples: Forms of Learning, Supervised Learning, Learning Decision Trees, Evaluating and Choosing the Best Hypothesis, Theory of Learning, Regression and Classification with Linear Models, Artificial Neural Networks, Nonparametric Models, Support Vector Machines, Ensemble Learning, Practical Machine Learning Learning probabilistic models: Statistical Learning, Learning with Complete Data, Learning with Hidden Variables: The EM Algorithm. Reinforcement learning: Passive Reinforcement Learning, Active Reinforcement Learning, Generalization in Reinforcement Learning, Policy Search, Applications of Reinforcement Learning.
TYBSC CS SEM 5 AI NOTES
TYBSC CS SEM 5 AI NOTES
WE-IT TUTORIALS
Python
PROBLEM SOLVING TECHNIQUES USING PYTHON.pptx
PROBLEM SOLVING TECHNIQUES USING PYTHON.pptx
BELMERGLADSONAsstPro
AI notes
Chapter 1 (final)
Chapter 1 (final)
Nateshwar Kamlesh
P, NP, NP-Complete, and NP-Hard Reductionism in Algorithms NP-Completeness and Cooks Theorem NP-Complete and NP-Hard Problems Travelling Salesman Problem (TSP) Travelling Salesman Problem (TSP) - Approximation Algorithms PRIMES is in P - (A hope for NP problems in P) Millennium Problems Conclusions
P, NP, NP-Complete, and NP-Hard
P, NP, NP-Complete, and NP-Hard
Animesh Chaturvedi
Inference rules for quantifiers, Unification and lifting, generalized modus ponens, unification.
Unification and Lifting
Unification and Lifting
Megha Sharma
Deep learning goes beyond the traditional machine learning of big data and analytics. In this session, we will review the AWS offering, Amazon Machine Learning, and the AWS GPU-intensive family of servers that run native machine learning and deep-learning algorithms. We will also cover some basic deep-learning algorithms using open source software. Session sponsored by Day1 Solutions.
(BDT311) Deep Learning: Going Beyond Machine Learning
(BDT311) Deep Learning: Going Beyond Machine Learning
Amazon Web Services
untuk lebih mengetahui apa itu pararel procesing
Presentasi komputasi Pararel Procesing
Presentasi komputasi Pararel Procesing
Rahmawan06
Basic of JavaScript
JavaScript Dasar.pdf
JavaScript Dasar.pdf
sulfanaidid1
project relate the conversion of fuzzy language to natural languages...
Fuzzy logic
Fuzzy logic
manojsonkar
Frames
Frames
amitp26
CG mini project
CG mini project
Mohammed Dawood
Graphical Password Authenticationimp.docx2
Graphical Password Authenticationimp.docx2
Raghu Vamsy Sirasala
1 pengenalan-konsep-imk
1 pengenalan-konsep-imk
Stevie Principe
It was a team project developed for library system using JavaFx and SceneBuilder (with CSS). It covers the practical aspect of turning the class & sequence diagrams into code.
Library System Implementation with JavaFx
Library System Implementation with JavaFx
Jivan Nepali
Artificial Intelligence Unit 2 Notes for CSE 8th Semester (A/c to CSVTU, Bhilai Syllabus)
Artificial Intelligence Notes Unit 2
Artificial Intelligence Notes Unit 2
DigiGurukul
...
Recursive algorithms
Recursive algorithms
subhashchandra197
Tendances
(20)
Knowledge representation in AI
Knowledge representation in AI
[PBO] Pertemuan 10 - Generic Programming & Collection
[PBO] Pertemuan 10 - Generic Programming & Collection
Booth and bit pair encoding
Booth and bit pair encoding
Membuat mvc framework sederhana dengan php
Membuat mvc framework sederhana dengan php
TYBSC CS SEM 5 AI NOTES
TYBSC CS SEM 5 AI NOTES
PROBLEM SOLVING TECHNIQUES USING PYTHON.pptx
PROBLEM SOLVING TECHNIQUES USING PYTHON.pptx
Chapter 1 (final)
Chapter 1 (final)
P, NP, NP-Complete, and NP-Hard
P, NP, NP-Complete, and NP-Hard
Unification and Lifting
Unification and Lifting
(BDT311) Deep Learning: Going Beyond Machine Learning
(BDT311) Deep Learning: Going Beyond Machine Learning
Presentasi komputasi Pararel Procesing
Presentasi komputasi Pararel Procesing
JavaScript Dasar.pdf
JavaScript Dasar.pdf
Fuzzy logic
Fuzzy logic
Frames
Frames
CG mini project
CG mini project
Graphical Password Authenticationimp.docx2
Graphical Password Authenticationimp.docx2
1 pengenalan-konsep-imk
1 pengenalan-konsep-imk
Library System Implementation with JavaFx
Library System Implementation with JavaFx
Artificial Intelligence Notes Unit 2
Artificial Intelligence Notes Unit 2
Recursive algorithms
Recursive algorithms
En vedette
Oficial Alaska travel planner 2011 - Guía oficial de viajes de Alaska 2011
Alaska travel 2011 - Guía oficial de viaje a Alaska 2011
Alaska travel 2011 - Guía oficial de viaje a Alaska 2011
Tierras Polares Viajes y Expediciones
As a Correspondent I had the privilege of attending, photographing and covering the first ever Kolkata Fashion Week. It an eye-opening experience, but fun and unique all the same. I got on so well with the event management company that they virtually pleaded for me to return to cover the next installment of the event. Unfortunately, I had to decline as I was on my way to University.
Feature - Kolkata Fashion Week
Feature - Kolkata Fashion Week
Monita Mohan
control systems using bakshi
Bakshicontrol system-engineering-u-a-bakshi
Bakshicontrol system-engineering-u-a-bakshi
Kiya Alemayehu
Computer graphics file
Computer graphics file
aman1001
hey friends this computer graphics practicals was the time of my educational time , I am sharing with you. i am software developer for more query contect on my e-mail id abhi.smarta02@gmail.com
Computer Graphics Programes
Computer Graphics Programes
Abhishek Sharma
SE Computer Practical, Programming Laboratory, PL(210251), SRTTC, Suman Ramesh Tulsiani Tech Campus, University of Pune(UoP)
SE Computer, Programming Laboratory(210251) University of Pune
SE Computer, Programming Laboratory(210251) University of Pune
Bhavesh Shah
Computer Graphics is well understand through programming and theory.
Graphics practical lab manual
Graphics practical lab manual
Vivek Kumar Sinha
gait recognition using bezier curve
Presentation on bezier curve
Presentation on bezier curve
Satyendra Rajput
C Programs Of Computer Graphics. In these 13 programs with Output is given.
Computer Graphics Lab File C Programs
Computer Graphics Lab File C Programs
Kandarp Tiwari
Computer Graphics Practical
Computer Graphics Practical
Neha Sharma
Intellectual Property: Introduction, Protection of Intellectual Property Copyright, Related Rights, Patents, Industrial Designs, Trademark, Unfair Competition Information Technology Related Intellectual Property Rights Computer Software and Intellectual Property-Objective, Copyright Protection, Reproducing, Defences, Patent Protection. Database and Data Protection-Objective, Need for Protection, UK Data Protection Act, 1998, US Safe Harbor Principle, Enforcement. Protection of Semi-conductor Chips-Objectives Justification of protection, Criteria, Subject-matter of Protection, WIPO Treaty, TRIPs, SCPA. Domain Name Protection-Objectives, domain name and Intellectual Property, Registration of domain names, disputes under Intellectual Property Rights, Jurisdictional Issues, and International Perspective. Patents (Ownership and Enforcement of Intellectual Property) Patents-Objectives, Rights, Assignments, Defences in case of Infringement Copyright-Objectives, Rights, Transfer of Copyright, work of employment Infringement, Defences for infringement Trademarks-Objectives, Rights, Protection of good will, Infringement, Passing off, Defences. Designs-Objectives, Rights, Assignments, Infringements, Defences of Design Infringement Enforcement of Intellectual Property Rights - Civil Remedies, Criminal Remedies, Border Security measures. Practical Aspects of Licencing – Benefits, Determinative factors, important clauses, licensing clauses. Cyber Law: Basic Concepts of Technology and Law : Understanding the Technology of Internet, Scope of Cyber Laws, Cyber Jurisprudence Law of Digital Contracts : The Essence of Digital Contracts, The System of Digital Signatures, The Role and Function of Certifying Authorities, The Science of Cryptography Intellectual Property Issues in Cyber Space: Domain Names and Related issues, Copyright in the Digital Media, Patents in the Cyber World. Rights of Netizens and E-Governance : Privacy and Freedom Issues in the Cyber World, E-Governance, Cyber Crimes and Cyber Laws Information Technology Act 2000 : Information Technology Act-2000-1 (Sec 1 to 13), Information Technology Act-2000-2 (Sec 14 to 42 and Certifying authority Rules), Information Technology Act-2000-3 (Sec 43 to 45 and Sec 65 to 78), Information Technology Act-2000-4(Sec 46 to Sec 64 and CRAT Rules), Information Technology Act-2000-5 (Sec 79 to 90), Information Technology Act-2000-6 ( Sec 91-94) Amendments in 2008.
TYBSC IT SEM 6 IPR/CL
TYBSC IT SEM 6 IPR/CL
WE-IT TUTORIALS
An illumination model, also called a lighting model and sometimes referred to as a shading model, is used to calculate the intensity of light that we should see at a given point on the surface of an object. Surface rendering means a procedure for applying a lighting model to obtain pixel intensities for all the projected surface positions in a scene. A surface-rendering algorithm uses the intensity calculations from an illumination model to determine the light intensity for all projected pixel positions for the various surfaces in a scene. Surface rendering can be performed by applying the illumination model to every visible surface point.
Illumination model
Illumination model
Ankur Kumar
How to do Graphics Programming in C under GNU Linux (Ubuntu distribution)
Graphics Programming in C under GNU Linux (Ubuntu distribution)
Graphics Programming in C under GNU Linux (Ubuntu distribution)
Tushar B Kute
En vedette
(13)
Alaska travel 2011 - Guía oficial de viaje a Alaska 2011
Alaska travel 2011 - Guía oficial de viaje a Alaska 2011
Feature - Kolkata Fashion Week
Feature - Kolkata Fashion Week
Bakshicontrol system-engineering-u-a-bakshi
Bakshicontrol system-engineering-u-a-bakshi
Computer graphics file
Computer graphics file
Computer Graphics Programes
Computer Graphics Programes
SE Computer, Programming Laboratory(210251) University of Pune
SE Computer, Programming Laboratory(210251) University of Pune
Graphics practical lab manual
Graphics practical lab manual
Presentation on bezier curve
Presentation on bezier curve
Computer Graphics Lab File C Programs
Computer Graphics Lab File C Programs
Computer Graphics Practical
Computer Graphics Practical
TYBSC IT SEM 6 IPR/CL
TYBSC IT SEM 6 IPR/CL
Illumination model
Illumination model
Graphics Programming in C under GNU Linux (Ubuntu distribution)
Graphics Programming in C under GNU Linux (Ubuntu distribution)
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