50% of Indian Data Scientists (including Me) are made after watching your TH-cam videos about Data Science , Python , AI ML , DL & now Gen AI as well as.. 🎉🙌 # Inspiration 😍 Sir
Recently, I’ve uninstalled all the social media apps from my mobile. Mostly I’m spending my time on your channel. Because your teaching skills and explanation technique made me addicted to your channel. Hand down, the best channel on TH-cam! 🙌🏻
we gained almost 90% syllabus of All Data Science field. you should make more detailed video related to Gen AI lecture series. we are waiting for your GEN AI series. Thanks Krish sir.
Krish it would be wholesome for us those who are seeking jobs that to learn what we will be able to apply what kind of jobs like ML engineers , AI engineer, data science, NLP engineers like these
For every hardworking students ur roaming god. Thanks a lot Krish Naik sir u taught me a lot still I'm learning from ur contents . U boosting me everytime whenever I watch ur videos...
1. AI- to build APPLICATIONS that can perform it's own task without human intervention. It can perform entire task without HUMAN INTERVENTION. Eg NETFLIX, SELF-DRIVING CAR, AI ENGINEERS, 2. ML- its a subset ot Ai.. -It's main aim is to provide you with start tools to perform various tasks such as statical analysis, visualization, prediction and forecasting. Generally to provide you with start tools for complete life cycle of data science that is specifically required.. so that we understand about data. 3. DL - its built to mimic human brain.. machines(AI) to perform like we humans perform and learn . It's categorized in 3 parts..that is :- ANN ,CNN, RNN And its Variants. ANN- used like in machine learning is trained CNN- & Object detection..Used for computer vision RNN- used for text related or time series cases.. Among others LTM,GRU, ENCORDER DECODER, TRANSFORMERS AND BOARDS. 4. GENERATIVE AI..is a subset of deep learning too. There are two types models :- DISCRIMINATIVE and GENERATIVE.. -These are two models that helps in generating new content based on what it has been trained on. -Discriminative :- they are trained on LABELLED dataset .. task like classification, prediction, regression . -Generative AI tasks :-it generates New data. Has been trained on HUGE DATA Set. Eg. 1.Large language models (LLM) specifically to text creator. Examples of LLM Models.. companies like OPEN AI- Gpt 4 , META- LLama 2, GOOGLE-Gemini and Gemma , ANTHROPIC- Cloudy 3. All these are called as Foundation models or Pre - trained models..they have been trained on huge internet data. These models also used in DOMAIN SPECIFIC use also and FINE TUNNING, open source models. 2. Large Image models (LIM) specifically for image and videos..can convert text to image and videos.. Main race now is to create best foundation models in form of pre- trained models or fine tune with some own custom data set .
❤ great man you are doing very nice work, your all work is open for all ..here in my country some TH-camrs making people fool and selling Thier 3rd class books, keep it up brother love from Pakistan ❤ ❤❤❤
Hello, Krish, you have done outstanding to create data science, ai/ML concepts videos and projects contents. Could you tell me where SciML fits in ai vs. ML vs. DL vs. Gen ai. I have recently graduated from mechanical engineering background. I want to explore machine learning integrated with my discipline. It will be very helpful for me if you give some suggestions/roadmap with free contents just like you are serving ❤.
Hello bhai, Today I met an AI researcher He was saying that right now there are no high paying jobs in AI, which means that the market of AI is vacant right now and he was saying that if I suggest you, don't come to AI right now, as fresher. Was saying to focus on backend
I am farhan fayaz your student. I am facing the problem about chosing the data set for heart disease. I want to detect more than one disease of heart using machine learning but I can't find the such type of data set. Can you guide me how I get this type of dataset. I read the research paper and also check many online repository. Example. As I detect three things about patient which is healthy, cardiovascular or coronary artery detection .. But i am not getting such type of data set
Great Content ! Can you please help to know the starting point to learn AI and ML and DL & Gen-AI. Which series should i follow and in which order. This seems great videos, but looks like I need to know starting point and which playlist to start with. I'm new to AL/ML world, so please help. Thanks a lot !
sir will it be a right decision to learn ML,DS. i still thinks its jjust a hhype like web3/bitcoin. these big companies just rolled out their products inthe market & due to huge investments cuz of fomo created in market, now all r just souting AI IS HERE, AI IS HERE. i'm still thinking this as another propaganda by these pbc's!
50% of Indian Data Scientists (including Me) are made after watching your TH-cam videos about Data Science , Python , AI ML , DL & now Gen AI as well as.. 🎉🙌 # Inspiration 😍 Sir
from which clg u done your btech??
@@hk_creations Heritage Institute of Technology, Kolkata. Why so ?
@@shariqueseraj4473 i m asking bcz is clg really matters during placements??
You are run bro
Hi I am a complete fresher and want to go into AI but confused whether to learn AI or generative Ai which is better can u please help
Recently, I’ve uninstalled all the social media apps from my mobile. Mostly I’m spending my time on your channel. Because your teaching skills and explanation technique made me addicted to your channel. Hand down, the best channel on TH-cam! 🙌🏻
Thanks!
we gained almost 90% syllabus of All Data Science field. you should make more detailed video related to Gen AI lecture series. we are waiting for your GEN AI series. Thanks Krish sir.
Krish it would be wholesome for us those who are seeking jobs that to learn what we will be able to apply what kind of jobs like ML engineers , AI engineer, data science, NLP engineers like these
have u applying??now r u a developer
Finally with pride.. i have found the best teacher to step in the next era of IT
For every hardworking students ur roaming god.
Thanks a lot Krish Naik sir u taught me a lot still I'm learning from ur contents . U boosting me everytime whenever I watch ur videos...
1. AI- to build APPLICATIONS that can perform it's own task without human intervention. It can perform entire task without HUMAN INTERVENTION. Eg NETFLIX, SELF-DRIVING CAR, AI ENGINEERS,
2. ML- its a subset ot Ai..
-It's main aim is to provide you with start tools to perform various tasks such as statical analysis, visualization, prediction and forecasting. Generally to provide you with start tools for complete life cycle of data science that is specifically required.. so that we understand about data.
3. DL - its built to mimic human brain.. machines(AI) to perform like we humans perform and learn . It's categorized in 3 parts..that is :- ANN ,CNN, RNN And its Variants.
ANN- used like in machine learning is trained
CNN- & Object detection..Used for computer vision
RNN- used for text related or time series cases..
Among others LTM,GRU, ENCORDER DECODER, TRANSFORMERS AND BOARDS.
4. GENERATIVE AI..is a subset of deep learning too.
There are two types models :- DISCRIMINATIVE and GENERATIVE..
-These are two models that helps in generating new content based on what it has been trained on.
-Discriminative :- they are trained on LABELLED dataset ..
task like classification, prediction, regression .
-Generative AI tasks :-it generates New data.
Has been trained on HUGE DATA Set. Eg. 1.Large language models (LLM) specifically to text creator.
Examples of LLM Models.. companies like OPEN AI- Gpt 4 , META- LLama 2, GOOGLE-Gemini and Gemma , ANTHROPIC- Cloudy 3.
All these are called as Foundation models or Pre - trained models..they have been trained on huge internet data. These models also used in DOMAIN SPECIFIC use also and FINE TUNNING, open source models.
2. Large Image models (LIM) specifically for image and videos..can convert text to image and videos..
Main race now is to create best foundation models in form of pre- trained models or fine tune with some own custom data set .
One of the best AI video I have watched so far
I rewatch your 4 years ago video about Al vs Ml vs etc
Consistency level 🔥🔥
With the your inspiration we are in data science ❤
❤ great man you are doing very nice work, your all work is open for all ..here in my country some TH-camrs making people fool and selling Thier 3rd class books, keep it up brother love from Pakistan ❤ ❤❤❤
As usual.. Very well explained... Crisp and short
Nice information, Krish Sir can you please tell me which software and pentab are you using to write on the screen? Please
Great video as usual 🎉
May I know the name of the drawing software you had used in this session?
Standing in last for best content, since all are already into your channel . I am late here
Hello, Krish, you have done outstanding to create data science, ai/ML concepts videos and projects contents. Could you tell me where SciML fits in ai vs. ML vs. DL vs. Gen ai. I have recently graduated from mechanical engineering background. I want to explore machine learning integrated with my discipline. It will be very helpful for me if you give some suggestions/roadmap with free contents just like you are serving ❤.
@krish - Which tool you use for Annotation?
thanks for the video
Hello bhai, Today I met an AI researcher He was saying that right now there are no high paying jobs in AI, which means that the market of AI is vacant right now and he was saying that if I suggest you, don't come to AI right now, as fresher. Was saying to focus on backend
Bro really 😶
Awesome explanation ❤
Awesome compilation! Thanks for creating such a nice video.
Just curious to know which drawing software you are using along with XP-pen?
I am farhan fayaz your student.
I am facing the problem about chosing the data set for heart disease.
I want to detect more than one disease of heart using machine learning but I can't find the such type of data set.
Can you guide me how I get this type of dataset.
I read the research paper and also check many online repository.
Example.
As I detect three things about patient which is healthy, cardiovascular or coronary artery detection ..
But i am not getting such type of data set
Hy Farhan, that is multi-classification I did a project similar to that
I have written my Deep Learning semester paper just last Friday, I would have gotten outiff marks if I used this stuff - Simesh Panchal, Pune.
Best explanation and very knowledgeable
Great Content ! Can you please help to know the starting point to learn AI and ML and DL & Gen-AI. Which series should i follow and in which order. This seems great videos, but looks like I need to know starting point and which playlist to start with. I'm new to AL/ML world, so please help. Thanks a lot !
Very nice brother 🎉
Bro, please do share which app you are using to write with the digital pencil ? Is it a paid app ?
sir will it be a right decision to learn ML,DS. i still thinks its jjust a hhype like web3/bitcoin. these big companies just rolled out their products inthe market & due to huge investments cuz of fomo created in market, now all r just souting AI IS HERE, AI IS HERE.
i'm still thinking this as another propaganda by these pbc's!
Sir can you please make a model on Synthetic Data Generation using GenAI and the trust level of that data using GenAI models
which software do you use for video ???
Sir make a course on fine tuning of the foundation model.
Can anyone tell me what software is used for writing?
Scribble
Windows or MAC app? can't find it indeed!
Which text editor is this ?
sir it was a nice video , and can you please do a short video on how the data's are actually trained ?
What drawing or note taking software is this
Amazing plz make video on fine-tuning
Thank you for sharing valuable content 🙏
hello krishh please make a video on Spacy library.
Thank you
Is DS relevance
The real AI G.O.A.T!!!
You're great ❤
Do more videos useful for interviews sir 😇
1st ❤
❤🎉❤🎉❤🎉❤
184th view. Since we are all typing 😏
First view ❤
Great share bro❤
If I want to become an ai engineer, full stack ai engineer as it's called nowadays... What should I get into, ML or AI .. ? No idea !
Me too no idea !!
All
First ❤ view
🙂🙏
great video
sir please share this pdf
Just now i finished it and jumped here 😅😅
You would have coveerd nlp a vital part
This is all redundant as we speak. We can ask GenAI what is GenAI and there is no need for these videos here.
Claude-E, Jemin-E :D,
Hello krish can I get your email id
I'm not on any social media platform
I hve a doubt
🙏🙂