Thanks Hrushikesh, please share the playlist with class WhatsApp group it will be very helpful to me 🙂
@UnknownLearner-od3qn4 ай бұрын
5:50 Sir kitchen bhi yhi room h na... ooooo so much struggle in Engineers life, ye sala dhukh kahe khtm nhi hota bhai... isi zindagi me khushi dhundni pdegi jo h so h.... Jaise sir muskura rhe the ki is bartn ko bhi yhi aana tha kya😂😂
@mccgaming5162 жыл бұрын
Best tutorial video on KZbin for artificial intelligence 🙏
@D4Dayta2 ай бұрын
❤❤❤ you are awesome saved my time
@lovelysharma3553 Жыл бұрын
Underrated , Fr deserve more views
@jeevanshukaushik252010 ай бұрын
Sir your way of explanation is just wow!!
@AxlGaming-p2l2 ай бұрын
Thank you sir, for this helpful video
@manjulbhardwaj21483 ай бұрын
Best Explanation Sir❤
@shreyasdivkar6860 Жыл бұрын
Thank You sir, kal exam hai aaj padhraha hu....apki yeh video se bohot help mili
@khushikhushu2612 жыл бұрын
Excellent Dude👍Keep it always
@SujalSharma-m2m Жыл бұрын
Sir aap bahout acha prateho❤❤
@important_Discussion3 жыл бұрын
Thank you so much sir 🔥🔥🔥🔥
@perfectcomputerengineer3 жыл бұрын
Welcome Saroj, please share the playlist with your class WhatsApp group it would help me alot
@gayatripatel702 Жыл бұрын
bro u r life saver
@perfectcomputerengineer Жыл бұрын
Thanks bro
@rajneogi77712 ай бұрын
Great
@rupaleeranjan2783 Жыл бұрын
thanku so much sir 🤗
@bharathkumarpulicheru7693 Жыл бұрын
good explanction
@anshulsworldofmagickidszon5565 Жыл бұрын
Very nice video
@stayfitstayhealthy2683 Жыл бұрын
More helpful sir
@Yashikaa.014 ай бұрын
wow
@shivshaktisharma80333 жыл бұрын
complete this playlist
@perfectcomputerengineer3 жыл бұрын
What subject are you talking about Artificial Intelligence or Soft Computing?
@shivshaktisharma80333 жыл бұрын
@@perfectcomputerengineer artificial intelligece my uiversity syllabus is .... Introduction : What is intelligence?, what is artificial intelligence?,, Foundations of artificial intelligence(AI), History of AI, Basics of AI, Artificial Intelligence Problems, Artificial Intelligence Techniques, applications of AI Problem Spaces and Search : Defining the problem as a state space search, Production systems, Production system characteristics, Problem characteristics, Issues in designing search problems, Breadth first search (BFS), Depth first search(DFS), Bi-directional Search, Iterative Deepening Unit II Informed Search Strategies : Heuristic functions, Generate and Test, Hill Climbing, Simulated Annealing, Best first search, A* algorithm, Constraint satisfaction Unit III Knowledge Representation : Representations & mappings, Approaches in knowledge representation, Issues in knowledge representation, Propositional logic, Predicate logic, Procedural versus declarative knowledge, Logic programming, Forward versus backward reasoning Unit IV Statistical reasoning : Probability & Bayes' theorem, Bayesian networks, Dempster-Shafer-Theory, Certainty factors & rule-based systems Weak slot and filler structures : Semantic nets, Frames Strong slot and filler structures : Conceptual dependency, Scripts Unit V Game playing : Minmax Problem, The min-max search procedure, Alpha-beta pruning Natural Language Processing : Introduction to NLP and information retrieval, NLP phases, Spell checking, Soundex algorithm, construction of parse tree, bag of words model, Applications of NLP Unit VI Advanced topics in Artificial Intelligence : introduction to machine learning, Types of Machine Learning, Overview of Neural Networks, activation functions, Overview of Genetic Algorithms, Overview of Fuzzy LogicsIntroduction : What is intelligence?, what is artificial intelligence?,, Foundations of artificial intelligence(AI), History of AI, Basics of AI, Artificial Intelligence Problems, Artificial Intelligence Techniques, applications of AI Problem Spaces and Search : Defining the problem as a state space search, Production systems, Production system characteristics, Problem characteristics, Issues in designing search problems, Breadth first search (BFS), Depth first search(DFS), Bi-directional Search, Iterative Deepening Unit II Informed Search Strategies : Heuristic functions, Generate and Test, Hill Climbing, Simulated Annealing, Best first search, A* algorithm, Constraint satisfaction Unit III Knowledge Representation : Representations & mappings, Approaches in knowledge representation, Issues in knowledge representation, Propositional logic, Predicate logic, Procedural versus declarative knowledge, Logic programming, Forward versus backward reasoning Unit IV Statistical reasoning : Probability & Bayes' theorem, Bayesian networks, Dempster-Shafer-Theory, Certainty factors & rule-based systems Weak slot and filler structures : Semantic nets, Frames Strong slot and filler structures : Conceptual dependency, Scripts Unit V Game playing : Minmax Problem, The min-max search procedure, Alpha-beta pruning Natural Language Processing : Introduction to NLP and information retrieval, NLP phases, Spell checking, Soundex algorithm, construction of parse tree, bag of words model, Applications of NLP Unit VI Advanced topics in Artificial Intelligence : introduction to machine learning, Types of Machine Learning, Overview of Neural Networks, activation functions, Overview of Genetic Algorithms, Overview of Fuzzy Logics
@perfectcomputerengineer3 жыл бұрын
Got it, fine
@anshulsworldofmagickidszon5565 Жыл бұрын
I am preparing for CCAT
@D4Dayta2 ай бұрын
Kya gira diye sir 😅
@riteshsahu7601 Жыл бұрын
Sir clear dekhae nhe deta h
@Yesiamwrong7 ай бұрын
Farsightedness (hyperopia ) 😢😢 Use concave minus power lenses