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Though I am late to the party, you did covered all the aspects of a Chatbot very well

isn't 2d a data type of cnn the others data types are 1d and 3d

He cheated rbr

great explanation!!

On what basis we select the root node (split the dataset) ?

Logistic Regression is just that, a regression method. Its predicted value is interval type - the probability of being the 1 case, which can take on any value over the interval [0,1]. It is, in fact, the mean 0/1 value that you expect for a given x. Logistic Classification is the classification method that uses the predicted probability from Logistic Regression and a cutoff - often, but not always 0.5 - to predict the class of a new data point. There are plenty of times where you are not interested in predicting the class of a particular new data point, but rather need to know the expected payoff overall. For example, if you have 100 customers with a particular x value and you estimate the probability of someone with that x buying your product to be 0.6, then you don't want to just classify all 100 as 1's (buyers). That would make you think that you'll make far more money than you likely will. Instead, you would want to know that, on average, 60 of them will be buyers and 40 will not (100 Bernoulli trials with p = 0.6.) If your margin is $20, then you expect to make $1,200, not $2,000.

Worst ever course. I enrolled just by trusting RBR sir. But this guy didn't teach even a single concept in simple way. He makes things as difficult as possible. My entire money(I paid 20000) has gone waste. First thing I felt like RBR lied

Where is your next video regarding this topic?

The one needed the most explanation (transposed convolution) was explained briefly and very badly!

You tried to distinguish between two stage object detectors like R-CNN and single stage object detectors like YOLO at 9:50 saying the earlier is a machine learning technique and later one is of deep learning. But both of them involve incorporating CNNs for the task of recognition. Thus both are deep learning techniques indeed.

Thank you so much!!!!! i was having trouble understanding the purity of a split and Gini index. If I'm not wrong we want to split at an attribute with the least gini index to get the highest purity in split as possible right?

Sir where is the next video?

If teaching is all about reading from a presentation/PDF we can do it ourselves. What a lazy teacher are you? Such concepts are better explained via youtube channels like statquest. sorry to say, but what a terrible way of explaining stuff. Seems like you are studying yourself from the e-document.

hello sir currently i am pursuing b tech final year..I want very badly to do projects on ml . Can u plzz give me the project ideas.

Hello, I am from India and i am currently in class 12th. Now i have this very big doubt on weather i should take B.Tec in CSE or AI. I want to persue my career in AI and i will doing till PhD. What my parents thinks that i should take CSE for B.Tec, coz if i don't like AI then i would not be left with more options, and what my side is, that i just love AI, like i literally love it. So nowaday there are some colleges which offer a B.Tec course in AI. So i have compared the curriculums of Both AI and CSE and what i found is if yoh are clear that you want to do AI then definitely you should take AI in B.Tec. So i have this confusion of what to do in my B.Tec, can you please help me through this. It would be really a great help to me. My only consern is that if i take CSE then the topics like ML, AI, digital fabrication, AI and Humanity, DBMS, Computer networks, robotics, etc. I will miss this all as strong base, as direct in master i will be having less time, if i opt for AI then i have a preety good amount of time, and other side it's a wide spectrum open to me if i take CSE, so this is what my prospective is so what should i choose?

Hello, I am from India and i am currently in class 12th. Now i have this very big doubt on weather i should take B.Tec in CSE or AI. I want to persue my career in AI and i will doing till PhD. What my parents thinks that i should take CSE for B.Tec, coz if i don't like AI then i would not be left with more options, and what my side is, that i just love AI, like i literally love it. So nowaday there are some colleges which offer a B.Tec course in AI. So i have compared the curriculums of Both AI and CSE and what i found is if yoh are clear that you want to do AI then definitely you should take AI in B.Tec. So i have this confusion of what to do in my B.Tec, can you please help me through this. It would be really a great help to me. My only consern is that if i take CSE then the topics like ML, AI, digital fabrication, AI and Humanity, DBMS, Computer networks, robotics, etc. I will miss this all as strong base, as direct in master i will be having less time, if i opt for AI then i have a preety good amount of time, and other side it's a wide spectrum open to me if i take CSE, so this is what my prospective is so what should i choose?

Not atrous, atross convolution : à trous convolution (from french, à trous meaning with holes !) Pronounce à trou (like hou hou)

Thank you so much for great explaination!!

Very Nice Explanation! Great

Sir you are the best ... I was about to drop learning DS and python as I don't just love maths ...

sir please share the ppt down here it would be very helpful for me or else i have to make every single note of it

Good one ....

In Spatially Separable kernel I don't understand how the actual number of multiplications are reduced. Lets say we have a 3x3 kernel and a 3x3 input. The first vector will perform convolution with the 3 rows of the input, right? 1 convolution involves 3 multiplication and 3 convolutions will require 3x3 = 9 multiplications. I feel that the reduction will happen only if there were matrix multiplication taking place. But in convolutions we are doing element-wise multiplication and hence we can't see reduction in cost, unless you are taking into account things like parallelization or broadcasting.

🙈🙈🙈

sir dogma soft ID is not work. ID is active from bank since 4 days but not work.

Explanation is very good and please continue with next video sir

I am based in US. How do to register for your course?

Hello sir, how is Business Analytics different from Management information system?

Next parts ????

Sir where can I get the continuation video of this

At last, got something to grab the algorithm. Thank you very much .

What qualifications and skills do I need to start learning DA please? Thank you for the video🙏

stop moving!!

you talk many things , which you don't write on board , so plz tell me how to make notes.

sir if i join your course will you provide notes for your classes? plz tell

What would be the model applied to count the number of rights Manish says in this video

Good Video but a question. Will the intermediate image incurs memory in the separable convolution?

Well explained. Thanks, sir!💚

What's is the price..and complete procedure.to buy it...????

Tq sir

Gone are the days when only the rich could afford to have personal assistants and you had to hire a person to do all the small tasks that you feel kill your time. Now the AI is taking over the world with chatbots and virtual assistants. Here are a few templates to show you how chatbots can automate your daily tasks - s.engati.com/bk8

Your way of presentation is good. Some suggestions : 1. If the diagram is enlarged it would be much more better. 2. Avoid walking because the diagram is small and we can't able to see properly. Other than this the quality of content is good.

Very helpful I now undersstand

ok? vs alright. How about that branching based on repeats?

Over and above the points mentioned here, haven't seen any deep learning approach to causal analysis. But machines that can reason is the holy grail of AI. Hence we'll still need to explore other methods.

Good Content 👌

deeplearning is ml. wrong title

great video

Excellent explanation.

Tqsm sir 😊it was so useful