#41 Maximum Likelihood & Least Squared Error Hypothesis |ML|
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- Опубликовано: 11 сен 2024
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Thank you so much , I have completed my 4-1 Machine learning exam today, I followed only your videos for the exam, your content is amazing mam. Helped me 100%. Thank you once again🥺🥶
Best teaching skills ever , specially for all categories students,🎊
u are explaining ML very effectively i always try to understand i am not data minning side so feeling difficult
UNIT - III
Bayesian learning - Introduction, Bayes theorem, Bayes theorem and concept learning, Maximum
Likelihood and least squared error hypotheses, maximum likelihood hypotheses for predicting
probabilities, minimum description length principle, Bayes optimal classifier, Gibs algorithm, Naïve
Bayes classifier, an example: learning to classify text, Bayesian belief networks, the EM algorithm.
Computational learning theory - Introduction, probably learning an approximately correct hypothesis,
sample complexity for finite hypothesis space, sample complexity for infinite hypothesis spaces, the
mistake bound model of learning.
Instance-Based Learning- Introduction, k-nearest neighbour algorithm, locally weighted regression,
radial basis functions, case-based reasoning, remarks on lazy and eager learning.
Mam please complete video series soon and also post important questions of ml mam please
Wonder ful explanation really worth watching ur video till end... without skipping..am in final year!!
You defined p(d/h) is p(di/h)
But when we look into hmap it is p(h/d) right
Mam
Software testing methodologies exam on aug 26 pls make videos on stm subject ......
Ur explanation is super mam🤗
please make videos before 26 aug.
Excellent explanation mam...can't thankyou enough
Very good teaching my dear sister.All the best for your bright future 😊
Thank you mam.. For Helping a poor students❤
we appreciate your efforts ma'am
Mam can we know which text book are you following, because there is only one textbook mentioned in our jntuh syallbus and content is little bit different from yours
Mam please answer me back.
Very clearly explained, thank you so much, u have helped me a lot😊
Please make a video on Maximum likelihood hypothesis for predicting probabilities. Exams are approaching. Please make it fast.
appreciate your efforts mam thank you so much for nice explanation and presentation
Thankyou so much mam really your teaching is extraordinary and easily understood
all i can say is thanks a lot for saving my sem exam mam !! thank you sooo muchhhh
Mam i request you to explain one question that is, Discuss how multilayer network learns using a gradient descent algorithm, what is solution for this question is gradient descent using delta rule
Mam give the explanation for this particular question
@@touseefkinkera4470 yeah.. Mee too searching for that topic...
@@shafanashahreen7296 then how, what should do now
Thank you for making our life simple❤
Very informative
Very helpful thanks a lot❤️
Thank you very much for your Content !
TQ u so muchuuu❤
thank you ma'am . love your teaching 😍
Maam u have written the hmax formula wrong it's p(D/h) not p(h/D)
at 5:12 wont it be h(di) rather than h(xi) we havent defined xi, when we change di in place of x, so should μ be changed to h(di). correct me if wrong!....
Mam can u explain ids jntuh my exams at March 4th plz help
Understood perfectly
Hello could you please
Explain the maximum likelihood hypothesis for predicting the probabilities in machine learning
Yes please
Marri Laxman reddy government collage Dundigal
Really great job 👍
Useful
Hlo mam, please make a video on maximum likelihood hypothesis for predicting probabilities..
Reply me as soon as possible..
How I am asking how how did you saying so fastly I am just wondering and also I am so jealous about your speed😢
subject is introduction to data science my college is jntuh sem exams starts on march 4th pls make a playlist on introduction to data science r18 regulation jntuh syllabus
Ma'am please make videos for Predictive Analysis according to JNTUH syllabus.
Thank you so much..it was very helpful
after this topic there is another topic MAXIMUM LIKELIHOOD HYPOTHESES FOR PREDICTING
PROBABILITIES but the video is not there
Make the videos on natural language processing
Please make a video on the MAP Hypotheses and Consistent Learners
YOU ARE GOD❤
It will be helpful to your and channel and our students also
There is some misinformation in the video Maximum likelihood estimation = argmax(D/h) and not h/d . good playlist but please include real life examples while solving
Text book name please
July 26
Sri indu college
maximum likelyhood and maximum posterior are not same!!!, why bother assigning different names if they are same?
Maam here your Hmap = argmax(p(D/h) but you are writing wrong value i think
Nice mam good explaination
Good morning mam.Maximum likelihood hypothesis for predicting probabilities topic video not available mam.if posiible explain that topic
Sphoorthy Engineering College need all machine learning syallabus of jntuh
Can u explain maximum likelihood hypothesis for predicting probabilities we have 3-2 exams on July 10 th onwords
Thank you very much mam❤
Please make a video on cryptography
Thank you much akka it's useful for me
Ciet may
Is this answer for relationship of least square method and mimum likelihood
mam can you make videos on software testing methodologies, syllabus as par JNTUH, exam on 26 august prepare videos before 26 plese.
Can u explain Naive bayes algorithm mam we have exam on Monday
Good akka
I think this is not the correct explanation of least squared error method in last minute of the video.
@1:48 hMAP is same as hML but it is different ...I would like to know how these two are same.
Mam do we have problems in Maximum likelihood
mam explain computaional learning theory concepts mam.
Mam please do DAA Videos
thanks akka
mam where i get this notes
ML University of Hyderabad
Can u upload the videos as fast as possible as there is less time for our exams
Yes ma'am
Software testing teach us
Mam compiler design
Jntuchceh
Exam on 6th of September
Mam compiler design videos
Jntuhceh r18 regulation
Exam date 6th September
hMAP is different from hML.
Compiler design
Explain the knn algorithm mam pls
information retrieval system
We nees videos of STM
Mam we need cse r18 btech 3rd year network programming subject it's very urgent mam please can you make this
Mam pls upload the next videos
do network programming of jntuh
Mothaniki exam Ipoindi
Aaayennnnn???
august 16th 2024
hech
🤣🤣🤣
Mam ...Maximum likelihood hypotheses for predicting probabilities
Please explain this topic...
Please pronounce "H" correctly... its irritating to hear wrong pronunciation of "H" all the time...!