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Subalalitha C N
India
Приєднався 2 жов 2011
I am Dr.Subalalitha C.N, Founder and Director of FirstLanguage Technologies. www.firstlanguage.in/. We provide Natural Language Processing based APIs and also build language applications such as summary generation, Machine translation, Chatbots using state of the art AI techniques. Please drop me a mail @ subalalitha@firstlanguage.in for business queries. I am also working as Associate Professor in SRM Institute of Science and Technology, India. In this channel, you can find my lectures on Machine Learning, Deep learning , Natural Language Processing and Design and Analysis of Algorithms. Wishing you a happy learning.
Deep Learning Series - Lecture #2
In this video we will have a quick intro about how to train a neural network using back propagation .
Reference : Alexander Amini and Ava Soleimany, MIT 6.S191: Introduction to Deep Learning -IntroToDeepLearning.com
If you are interested in building cool Natural Language Processing Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
Reference : Alexander Amini and Ava Soleimany, MIT 6.S191: Introduction to Deep Learning -IntroToDeepLearning.com
If you are interested in building cool Natural Language Processing Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
Переглядів: 245
Відео
Deep Learning Series - Lecture #1
Переглядів 2472 роки тому
In this video we will have a quick intro about Deep Learning and it's building blocks . Reference : Alexander Amini and Ava Soleimany, MIT 6.S191: Introduction to Deep Learning -IntroToDeepLearning.com If you are interested in building cool Natural Language Processing Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us ...
Policy Iteration algorithm (with worked out example) -Reinforcement Learning Lecture #2
Переглядів 9 тис.3 роки тому
This video is about the Policy Iteration Algorithm in Reinforcement Learning that helps to find the optimal policy. The example problem is referred from towardsdatascience.com/policy-iteration-in-rl-an-illustration-6d58bdcb87a7. If you are interested in building cool Natural Language Processing Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultati...
Markov Decision process (MDP)- Introduction to Reinforcement Learning Master - RL Lecture #1
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This video is about the Markov Decision Process and this is an introductory video on Reinforcement Learning. If you are interested in building cool Natural Language Processing Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
Multiple Linear Regression Using Gradient Descent
Переглядів 8 тис.4 роки тому
This video is about multiple linear regression using gradient descent. If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
0 1 Knapsack using Branch and Bound
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This video is about 0 1 Knapsack using Branch and Bound
Breadth First Search
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This video is about Breadth First Search traversal of graphs
Travelling Salesman problem Using Branch and Bound
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This video is about Travelling Salesman problem Using Branch and Bound. If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
Randomized Quick Sort
Переглядів 22 тис.4 роки тому
This video is about Randomized quick sort algorithm. If you are interested in building cool Natural Language Processing Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
Rabin Karp Pattern Matching Algorithm
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This algorithm is about Rabin Karp Pattern Matching Algorithm. If you are interested in building cool Natural Language Processing Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
Introduction to How Google Search Works , How Information Retrieval System works
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This video is an Introduction to How Google Search Works , How Information Retrieval System works. If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
Word Sense Disambiguation Using Naive bayes Classifier
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Word Sense Disambiguation Using Naive bayes Classifier
Representation of Semantics Using First Order Logic
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Representation of Semantics Using First Order Logic
Word Embedding- Meaning Representation of Text
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Word Embedding- Meaning Representation of Text
Lecture 22- K Nearest Neighbor (KNN) Algorithm
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Lecture 22- K Nearest Neighbor (KNN) Algorithm
Lecture 21-Bayesian Belief Networks using Solved Example
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Lecture 21-Bayesian Belief Networks using Solved Example
Lecture 20- Linear Discriminant Analysis ( LDA) (with Solved Example)
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Lecture 20- Linear Discriminant Analysis ( LDA) (with Solved Example)
Lecture 16- Eigen Vector Calculation for a Given Matrix
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Lecture 16- Eigen Vector Calculation for a Given Matrix
Lecture 15-Bayesian Hierarchical Clustering
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Lecture 15-Bayesian Hierarchical Clustering
Lecture 14-Hierarchical Agglomerative Clustering (HAC)
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Lecture 14-Hierarchical Agglomerative Clustering (HAC)
Lecture 13-Naive Bayes Classifier (Audio and Video Sync Fixed Version)
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Lecture 13-Naive Bayes Classifier (Audio and Video Sync Fixed Version)
wow... great video🙌🙌
covarience 1/n or 1/(n-1)
Same doubt
how to find eigen values for 7x7 matrix
I also have the same doubt
@@msk_1609 Nakku
All videos I see are similar but nobody is explaining with a proper numeric example
Hi thank you for your video it explained everything in small detail, i just wonder, when we do the policy evaluation should we take the best action for example when north is 1.8 and south is 1.2 we should do 0 + 1.8 instead of 0 +1.8 + 1.2, i assume this is what max mean in the v funvtion, thanks
From where did you take these notes mam??
😢😢 hereafter ,try to explain without lagging in speech please. I can't able to understand anything
You deserve more
7:35 how did you made that matrix? I don't get it 😭, can someone plz explain quickly, I have exam tomorrow 😱😱
Can we write for Data Mining
Jhant padhai hai
focker explain clearly
b) Calculate Probability of work holiday and wet grass, if no wind, not cloudy, but rain. please provide answer for this
how to calculate the Martix graph?
i mean what is Martix graph and how to make one.
P(Not Rain) can be computed easily as 1 - P (Rain)
Really wonderful! Thank you 🙏
Best explanation mam❤
in S_1 2.6 should be 2.64
maam we can directly calculate the probability of not rain by subtracting 1-P(rain)
Why your Sw^-1 is different in the final formula and computation?
she has taken wrong sw-1 in first formula
There is absolutely no explanation in this video. This madam here has basically copied a solution from textbook and showed zero solving wasted my 30 min understanding this 13 min video. On top of it in the LDA video, she has asked to watch this video to understand eigen vectors and eigen values.
Helpful ❤❤
mam you have amistake in inverse formula
nice and concise explanation, thanks for sharing
Stumbled upon this video, felt nice to learn from Ma'am after so long
Best explanation with numbers instead of just formulas and math. First we need to understand conceptually before we work on forumlas
Guys do check this video, If you are looking for a good machine learning series with basics to advanced topics covered. ua-cam.com/video/YLSuxw_mLIE/v-deo.html
very Nice Explanation,Mam.Needs More tutorial From You.
Thanks for such a nice explanation mam ❤ saved my phone exam prep tonight
Low voice
super explanation maam....
Why square is using?
Hello Maam, at 9:17 HOW you calculated the value [-0.91 -0.39] ^T. would you elobrate this maam
Very good explanation mam. Love from Türkiye <3
Really good vedio
It understood in an easiest way
Couldn't understand
Thank you so much for this amazing and clear explanation!
Thank you, Madam. I solved the following problem. X = [20, 25, 30, 35] Y = [625, 730, 850, 1075] Sum of x = 110 and mean of x is 27.5 Sum of y = 3280 and mean of y is 820 Sum of (x - Mean of x) pow 2 is 125 Sum of (x - Mean of x) × Sum of (y- Mean of y) is 3675 B0 is 99.7 B1 is 29.4 Sum of (cap y - y) pow is 2 Getting standard error of estimate is 93.70 Is my SE estimation correct?
At 7:00 , the ų1-ų2 is incorrect, it should be [-5.4 1]
Neka poturuka answer tha podanum illa athu thappa please tell akka
Values multiple pane patha vera answer varuthu akka
amazing explanation
May ALLAH bless you
Mam I am doing project on anaphora resolution. I find your video very helpful and informative.
Thank you so much mam, it was very helpful.
Can you please link a PDF of your notes in this video?
Great video, thanks!
best lectures on ML Thank u so much maam for u r efforts