Varsha's engineering stuff

Varsha's engineering stuff

Being profession in teaching for last 17 years, never thought of youtube video creation. During corona virus pandemic, idea comes to my mind of video creation for my students and just for luck uploaded video on KZbin.
I got surprised by getting positive response from viewers. I thankful to them. Give me suggestions for improvement.
My name is Dr. Varsha Patil, Ph.D. in Image Processing from Mumbai University.
Have expertise in Image Processing, Data Mining, Machine Learning, Natural Language Processing and many more.
If you really like my channel, subscribe and share the link with your friends.

Part 8: Introduction to NLP at various Levels in Marathi and Hindi Languages

12:01

Part 8: Introduction to NLP at various Levels in Marathi and Hindi Languages

Ай бұрын

PART 7: Introduction to NLP, Ambiguities, English, Lexical, Syntactic, Semantic, Pragmatic,Discourse

12:23

PART 7: Introduction to NLP, Ambiguities, English, Lexical, Syntactic, Semantic, Pragmatic,Discourse

Ай бұрын

Part 6: Introduction to NLP, Why NLP is hard, Textual Humor, Sarcasm, Idioms, Neologisms, Tokenizati

15:29

Part 6: Introduction to NLP, Why NLP is hard, Textual Humor, Sarcasm, Idioms, Neologisms, Tokenizati

Ай бұрын

Part 5: Introduction to NLP, Language, Grammar and Knowledge in NLP

3:48

Part 5: Introduction to NLP, Language, Grammar and Knowledge in NLP

Ай бұрын

Part 4: History of NLP, First Era, Second Era, Third Era, Fourth Era, Introduction to NLP

6:50

Part 4: History of NLP, First Era, Second Era, Third Era, Fourth Era, Introduction to NLP

Ай бұрын

NLP Introduction Part 3: Generic NLP System, Parser, Semantic, Pragmatic. & Discourse, Reasoner

8:23

NLP Introduction Part 3: Generic NLP System, Parser, Semantic, Pragmatic. & Discourse, Reasoner

2 ай бұрын

NLP Introduction Part I:Definition,Natural Language Generation(NLG)& Understanding(NLU), Need, Goals

13:13

NLP Introduction Part I:Definition,Natural Language Generation(NLG)& Understanding(NLU), Need, Goals

2 ай бұрын

Semantic Analysis Part 3:Relations among lexemes & their Senses, NLP, Homonymy, Polysemy, Syno,

15:48

Semantic Analysis Part 3:Relations among lexemes & their Senses, NLP, Homonymy, Polysemy, Syno,

2 ай бұрын

Part 1: Semantic Analysis, NLP, Computational, Distributional, Formal Semantics, Lexicon & Lexeme

11:12

Part 1: Semantic Analysis, NLP, Computational, Distributional, Formal Semantics, Lexicon & Lexeme

2 ай бұрын

Part 7: Earley Parser, Top Down Parser, NLP, Predict, Scan, Complete, Chart, Tanle, CFG Rule

10:08

Part 7: Earley Parser, Top Down Parser, NLP, Predict, Scan, Complete, Chart, Tanle, CFG Rule

2 ай бұрын

Parser Part 6: Predictive Parser, Top Down, NLP, First, Follow, Stack, look ahead, Predictive Table

18:25

Parser Part 6: Predictive Parser, Top Down, NLP, First, Follow, Stack, look ahead, Predictive Table

3 ай бұрын

Part 5: PCFG parser, Bottom Up Parser, NLP, CFG, Probability, CYK Algorithm, Parse Trees Exercises

15:22

Part 5: PCFG parser, Bottom Up Parser, NLP, CFG, Probability, CYK Algorithm, Parse Trees Exercises

3 ай бұрын

Part 4: Bottom Up Parser, Shift Reduce Parser, Stack, Shift, Reduce, Ambiguity, Backtracking exercis

12:57

Part 4: Bottom Up Parser, Shift Reduce Parser, Stack, Shift, Reduce, Ambiguity, Backtracking exercis

3 ай бұрын

Parser Part 3: Bottom Up, COCKE-YOUNGER-KASAMI (CYK or CKY Parser), NLP, CNF, CFG, Tree, Dynamic

20:59

Parser Part 3: Bottom Up, COCKE-YOUNGER-KASAMI (CYK or CKY Parser), NLP, CNF, CFG, Tree, Dynamic

3 ай бұрын

Part 2: NLP Parsers, Modelling Constituency, CFG, Chomsky Normal Form (CNF), Top down & Bottom Up

17:57

Part 2: NLP Parsers, Modelling Constituency, CFG, Chomsky Normal Form (CNF), Top down & Bottom Up

3 ай бұрын

Part 1: Parsers in NLP, Parsers Role,Words & Word Groups (Constituency),Types of Parsers, Ambiguity

11:50

Part 1: Parsers in NLP, Parsers Role,Words & Word Groups (Constituency),Types of Parsers, Ambiguity

3 ай бұрын

Good Turing Discounting, Smoothing, C*, P*GT, Backoff, Interpolation, Laplace, MLE, NLP

26:31

Good Turing Discounting, Smoothing, C*, P*GT, Backoff, Interpolation, Laplace, MLE, NLP

3 ай бұрын

Part 6: Image Processing Introduction, Connectivity, Adjacency, Euclidean, City Block, Chess Board,m

19:44

Part 6: Image Processing Introduction, Connectivity, Adjacency, Euclidean, City Block, Chess Board,m

3 ай бұрын

Part 5: Image Processing Introduction, IMAGE FILE FORMATS, TIFF, BMP, JPEG, Features, Adv, Disadv

9:10

Part 5: Image Processing Introduction, IMAGE FILE FORMATS, TIFF, BMP, JPEG, Features, Adv, Disadv

3 ай бұрын

Part 4 : Image Processing, Sampling, Quantization, Spatial Resolution, Gray level, Tonal resolution

21:12

Part 4 : Image Processing, Sampling, Quantization, Spatial Resolution, Gray level, Tonal resolution

3 ай бұрын

Part 3: Components or Elements of an Image Processing System

6:04

Part 3: Components or Elements of an Image Processing System

3 ай бұрын

Part 2: Fundamental Steps in Image Processing, Acquisition, Filtering, Segmentation, Morphology

16:57

Part 2: Fundamental Steps in Image Processing, Acquisition, Filtering, Segmentation, Morphology

3 ай бұрын

Part 1: Introduction to Image Processing, Definition Digital image, Applications,

10:27

Part 1: Introduction to Image Processing, Definition Digital image, Applications,

3 ай бұрын

Part 6: Image Transform, Fast Hadamard Transform, Butterfly approach, Complexity N*log2(N-1)

20:19

Part 6: Image Transform, Fast Hadamard Transform, Butterfly approach, Complexity N*log2(N-1)

4 ай бұрын

Part 5: Image Transform, Discrete Cosine Transform, DCT, Basis images, Cosine, Real, Low, High freq

16:03

Part 5: Image Transform, Discrete Cosine Transform, DCT, Basis images, Cosine, Real, Low, High freq

4 ай бұрын

Part 4: Image Transform, Fourier Transform, Exercise on 1D, 2D signal, Forward & Backward Transform

10:32

Part 4: Image Transform, Fourier Transform, Exercise on 1D, 2D signal, Forward & Backward Transform

4 ай бұрын

Part 3: Image Transform: Walsh Transform, Increasing sign change, Exercises on 1D, 2D, WHT

10:24

Part 3: Image Transform: Walsh Transform, Increasing sign change, Exercises on 1D, 2D, WHT

4 ай бұрын

Part 2: Image Transform, Walsh Hadamard Transform ,1D signal, 2D Signal, Recursive generation

14:55

Part 2: Image Transform, Walsh Hadamard Transform ,1D signal, 2D Signal, Recursive generation

4 ай бұрын

Part 1: Image Transform, Introduction, Unitary Transform, Orthogonal Transform, Kronecker Product

15:41

Part 1: Image Transform, Introduction, Unitary Transform, Orthogonal Transform, Kronecker Product

4 ай бұрын

Пікірлер

@PriyankaS-ny3jf

@PriyankaS-ny3jf Күн бұрын

D has highest priority because in the given transaction E, A, D, B d came first and then b

@varshasengineeringstuff4621

@varshasengineeringstuff4621 Күн бұрын

B and D have same support count i.e. 6

@korigamik 2 күн бұрын

Please share presentation pdfs

@rohanjadhav7143

@rohanjadhav7143 4 күн бұрын

This was really well explained!! you explained in simple terms and examples. Much appreciated 👏

@varshasengineeringstuff4621

@varshasengineeringstuff4621 4 күн бұрын

You're very welcome!

@dinushachathuranga7657

@dinushachathuranga7657 8 күн бұрын

Thanks a lot for the clear explanation❤❤

@varshasengineeringstuff4621

@varshasengineeringstuff4621 7 күн бұрын

Thank you

@troubledtom5250

@troubledtom5250 18 күн бұрын

nice video thanks

@varshasengineeringstuff4621

@varshasengineeringstuff4621 18 күн бұрын

Thanks

@User-student-404

@User-student-404 18 күн бұрын

Mam can we follow this playlist for sppu university examination?

@varshasengineeringstuff4621

@varshasengineeringstuff4621 18 күн бұрын

I dont know syllabus of SPPU. This is for Mumbai University

@R.SarathKumar-u4j

@R.SarathKumar-u4j 19 күн бұрын

One of best explanation and well detailed 🎉🎉❤

@varshasengineeringstuff4621

@varshasengineeringstuff4621 19 күн бұрын

Thanks a lot 😊

@ahmadjaradat3011

@ahmadjaradat3011 20 күн бұрын

Too good.

@varshasengineeringstuff4621

@varshasengineeringstuff4621 20 күн бұрын

Thanks a lot 😊

@jhs1164 24 күн бұрын

kya padha hai wawa

@varshasengineeringstuff4621

@varshasengineeringstuff4621 24 күн бұрын

thank you. From which university

@naveenpandey2907

@naveenpandey2907 Ай бұрын

as you teach through document, please show calculation (handwritten) for every instance from given examples which makes it easier to understand. otherwise great work

@KanaOrange-o3x

@KanaOrange-o3x Ай бұрын

It will good if you explain this in Hindi

@christineadhiambo2896

@christineadhiambo2896 Ай бұрын

hi,how did you get the fraction 9/350

@foxleaderneon4920

@foxleaderneon4920 Ай бұрын

👏👏

@rithvikshetty8052

@rithvikshetty8052 Ай бұрын

Hi Vinay

@parthkeskar8354

@parthkeskar8354 Ай бұрын

😶‍🌫

@Sai_Rajzz Ай бұрын

Thanks a lot 🙏

@varshasengineeringstuff4621

@varshasengineeringstuff4621 Ай бұрын

You're most welcome

@Sabik47 2 ай бұрын

90 minutes of content covered in 12 minutes. thanks!

@varshasengineeringstuff4621

@varshasengineeringstuff4621 2 ай бұрын

So sweet of you dear. Thank you so much for such nice compliments.

@anantasmapan6131

@anantasmapan6131 2 ай бұрын

Hello, i found your video is so helpful for my research. Can you give me some recommendations to determine relevant documents to be used as references to calculate the effectiveness and recall of my suggested method? is it possible to create relevant documents without experts? if yes what method can i use? Thanks.

@varshasengineeringstuff4621

@varshasengineeringstuff4621 2 ай бұрын

Glad it was helpful!!!. To ceate relevant documents without expert, you can methods like Crowdsourcing, Automated Relevance Feedback,,Pseudo-Relevance Feedback, Content-Based Filtering

@anantasmapan6131

@anantasmapan6131 2 ай бұрын

Hello, i found your video is so helpful for my research. Can you give me some recommendations to determine relevant documents to be used as references to calculate the effectiveness and recall of my suggested method? is it possible to create relevant documents without experts? if yes what method can i use? Thanks.

@anantasmapan6131

@anantasmapan6131 2 ай бұрын

Hello, i found your video is so helpful for my research. Can you give me some recommendations to determine relevant documents to be used as references to calculate the effectiveness and recall of my suggested method? is it possible to create relevant documents without experts? if yes what method can i use? Thanks.

@anantasmapan6131

@anantasmapan6131 2 ай бұрын

Hello, i found your video is so helpful for my research. Can you give me some recommendations to determine relevant documents to be used as references to calculate the effectiveness and recall of my suggested method? is it possible to create relevant documents without experts? if yes what method can i use? Thanks.

@anantasmapan6131

@anantasmapan6131 2 ай бұрын

Hello, i found your video is so helpful for my research. Can you give me some recommendations to determine relevant documents to be used as references to calculate the effectiveness and recall of my suggested method? is it possible to create relevant documents without experts? if yes what method can i use? Thanks.

@anantasmapan6131

@anantasmapan6131 2 ай бұрын

Hello, i found your video is so helpful for my research. Can you give me some recommendations to determine relevant documents to be used as references to calculate the effectiveness and recall of my suggested method? is it possible to create relevant documents without experts? if yes what method can i use? Thanks.

@danianiazi8229

@danianiazi8229 2 ай бұрын

hi where can I get yout slides?

@binary_110 2 ай бұрын

Share the PPT please

@rukmanikhandhan

@rukmanikhandhan 2 ай бұрын

Mam, Can you post "Features and Unification Features and Unification - Structures - Unification of Structure - Features and Structures in Grammar - Implementing Unification - Parsing with Unification Constraints - Probabilistic CFG - Probabilistic Lexicalize CFG - Dependency Grammar."

@varshasengineeringstuff4621

@varshasengineeringstuff4621 2 ай бұрын

For which university syllabus

@Noor_Sayed_98 2 ай бұрын

It was very helpful & easy to understand, thank you!.

@varshasengineeringstuff4621

@varshasengineeringstuff4621 2 ай бұрын

You are welcome!

@gyansujan1464 2 ай бұрын

Easy explanation thank you

@varshasengineeringstuff4621

@varshasengineeringstuff4621 2 ай бұрын

You are welcome

@deebigadevi 2 ай бұрын

Mam it comes under which routing protocols mam

@varshasengineeringstuff4621

@varshasengineeringstuff4621 2 ай бұрын

Dear, it is density based clustering to cluster similar items

@makkenamaryelizbeth3286

@makkenamaryelizbeth3286 2 ай бұрын

Thank you

@varshasengineeringstuff4621

@varshasengineeringstuff4621 2 ай бұрын

Thanks dear

@achyutcreations961

@achyutcreations961 2 ай бұрын

Need more explanation

@varshasengineeringstuff4621

@varshasengineeringstuff4621 2 ай бұрын

It is made only to show drawbacks of cyk can be overcome. Next part is not in our university syllabus.

@Ikaachandubattula

@Ikaachandubattula 3 ай бұрын

At 12:24 why you are not applying formula used at 5:26 i e chain rule?

@mahakal1541 3 ай бұрын

best ever explanation. Mai toh mam ki explanation ka divaana ho gya.

@varshasengineeringstuff4621

@varshasengineeringstuff4621 3 ай бұрын

Thank you so much, dear for such wonderful compliments. Do subscribe my channel and share with your friends

@madhavannaikar1874

@madhavannaikar1874 3 ай бұрын

very much helpful for sem 7 students!

@varshasengineeringstuff4621

@varshasengineeringstuff4621 3 ай бұрын

Thank you dear

@praveenkumarg-vz4pi

@praveenkumarg-vz4pi 3 ай бұрын

Thank you

@varshasengineeringstuff4621

@varshasengineeringstuff4621 3 ай бұрын

Thanks for comment

@jenithaagnesj4956

@jenithaagnesj4956 3 ай бұрын

👌Clear explanation for Decision tree

@varshasengineeringstuff4621

@varshasengineeringstuff4621 3 ай бұрын

Thanks for compliment. Plz share in your friend groups

@jenithaagnesj4956

@jenithaagnesj4956 3 ай бұрын

Perfect 👍

@varshasengineeringstuff4621

@varshasengineeringstuff4621 3 ай бұрын

Thank you! Cheers!

@jenithaagnesj4956

@jenithaagnesj4956 3 ай бұрын

Very clear contents

@varshasengineeringstuff4621

@varshasengineeringstuff4621 3 ай бұрын

Keep watching

@nishanthnishanth8185

@nishanthnishanth8185 3 ай бұрын

super video aunty

@azverndias913 3 ай бұрын

Thank you so much

@varshasengineeringstuff4621

@varshasengineeringstuff4621 3 ай бұрын

You're most welcome

@riboy2133 4 ай бұрын

Try to speak louder. Your voice is very low. Try to understand with more examples step by step

@varshasengineeringstuff4621

@varshasengineeringstuff4621 4 ай бұрын

ok

@riboy2133 4 ай бұрын

@@varshasengineeringstuff4621 But Your notes are really helpful mam

@user-qp9so1by1j

@user-qp9so1by1j 4 ай бұрын

Thank you

@varshasengineeringstuff4621

@varshasengineeringstuff4621 4 ай бұрын

You're welcome

@YashBurad-cq9rj

@YashBurad-cq9rj 4 ай бұрын

Any one from SPIT college?

@aalindshukla3894

@aalindshukla3894 4 ай бұрын

Thank you so much

@varshasengineeringstuff4621

@varshasengineeringstuff4621 4 ай бұрын

You're most welcome

@gyansujan1464 4 ай бұрын

Very good explanation

@varshasengineeringstuff4621

@varshasengineeringstuff4621 4 ай бұрын

Thanks for liking

@gyansujan1464 4 ай бұрын

Great explanation

@varshasengineeringstuff4621

@varshasengineeringstuff4621 4 ай бұрын

Glad you liked it

@jyoti18518 4 ай бұрын

Thank you ma'am ❤

@varshasengineeringstuff4621

@varshasengineeringstuff4621 4 ай бұрын

Most welcome 😊

@shivamkumar-du1jo

@shivamkumar-du1jo 4 ай бұрын

You great

@varshasengineeringstuff4621

@varshasengineeringstuff4621 4 ай бұрын

Thank you

@muhammadilyas-bo6nr

@muhammadilyas-bo6nr 5 ай бұрын

Overall a good explanation but try to use marker for clarification on screen that what you are exactly reading and teaching to students.

@varshasengineeringstuff4621

@varshasengineeringstuff4621 5 ай бұрын

sure

@chiragsingh8323

@chiragsingh8323 5 ай бұрын

Thanks a lot mam! u were my only hope

@varshasengineeringstuff4621

@varshasengineeringstuff4621 5 ай бұрын

My pleasure 😊

@aayup4 5 ай бұрын

How we can decide that we have to consider 8 features???

@varshasengineeringstuff4621

@varshasengineeringstuff4621 5 ай бұрын

Its not compulsory to take eight features. IN HMM we take only current previous case. Depending on language, we can decide features such that prediction for POS tagging will be accuracte