02:01 AI vs ML vs DL - Understanding the Differences 04:02 AI is currently focused on pattern recognition and lacks capabilities like creativity and emotional intelligence. 06:03 Expert systems were left behind due to their limited applicability in fuzzy logic problems. 08:04 Machine learning is a better approach than symbolic AI because it learns patterns from data instead of relying on predefined rules 10:05 Deep learning is a class of algorithms inspired by biological neurons. 12:06 Deep learning is popular because it can automatically detect features without manual specification. 14:07 Deep learning automatically extracts features and improves efficiency with more layers 16:02 Deep Learning and Machine Learning are both important for building AI.
i am an excel expert... chartered Accountant least interested in taxes... i am starting toay to learn this.... God be with me... and thank you sir ...without u i would not have dreamt of this
🎯 Key Takeaways for quick navigation: 00:00 🚀 *Introduction to "100 Days of Machine Learning"* - Introduction to the "100 Days of Machine Learning" playlist. - Audience demand for a comprehensive end-to-end machine learning playlist. - Creation of a structured curriculum for 100 days, covering the Machine Learning Life Cycle. 01:06 📚 *Importance of Understanding Machine Learning Life Cycle* - Emphasis on the importance of understanding the end-to-end Machine Learning Life Cycle. - Distinction between focusing solely on algorithms and incorporating the Machine Learning Life Cycle. - Announcement of covering challenges in Machine Learning projects during the 100-day series. 02:36 🔄 *Focus Areas in the "100 Days of Machine Learning"* - Exclusion of algorithm coverage in the playlist. - In-depth coverage of techniques, flow, deployment, imputation, pre-processing, analysis, model selection, and more. - Addressing essential concepts like Bias-Variance Trade Off to differentiate ordinary and extraordinary Machine Learning engineers. 04:15 🎯 *Target Audience and Benefits of the Playlist* - Playlist intended for beginners and intermediate learners in Machine Learning. - Resource for both students and professionals to deepen understanding. - Encouragement for audience engagement by suggesting topics for coverage. 05:18 🤖 *What is Machine Learning?* - Formal definition and explanation of Machine Learning. - Contrast with explicit programming and introduction to learning from data. - Insightful flow diagram illustrating the difference between conventional programming and Machine Learning. 08:25 🧠 *Scenarios Where Machine Learning Excels Over Programming* - Inability to write programs for every scenario leads to the use of Machine Learning. - Real-life example of e-mail spam classification demonstrating the limitations of explicit programming. - Complex cases like image classification and data mining where conventional programming falls short. 13:43 🕰️ *History and Growth of Machine Learning* - Historical overview of Machine Learning's existence. - Comparison with the career trajectory of actor Nawazuddin Siddiqui. - Factors contributing to the recent surge in Machine Learning, including data availability and improved hardware. 17:02 💼 *Economics of Machine Learning Jobs* - Parallel drawn between the growth of Java and current trends in Machine Learning. - Prediction of increasing salaries due to a shortage of skilled professionals. - Forewarning about the potential normalization of salaries as more people enter the field. 19:25 🌐 *Future Outlook and Closing Remarks* - Acknowledgment of the initial growth phase in Machine Learning. - Encouragement to seize the current opportunity for success in the field. - Announcement of the next video topic, "Difference Between AI, ML, and DL." Made with HARPA AI
wow Nitish you excel at this skill of explaining things. I've completed the first 2 videos and I've decided to complete this playlist. Will keep liking the videos and commenting for reach. Will share the playlist with peers as well. Thank you friend. :)
There are lots of content available out there but I always prefer to watch your videos because of your way of explaining complex topics in an easy and understanding way
A senior of mine suggested me this playlist and i am so glad i asked her , thankyou so so much sir for this playlist, one suggestion : you should make the thumbnail more ai ml vali matlb thora ese robot vagera dal ke, kyuki baki playlist me thumbnail ke vjh se bht views hai aur me chahti hu aapki video sab dekhe .
@@ParadoxicalShubh yaar machine learning is not in my syllabus i am studying it just to gain a skill for my resume , so I can't really tell you about the sem exams thing
I have a question- You explained that DEEP automatically creates features and this is a main benefits but in unsupervised ML algos also we don't need to define features. Then, how it is comparable with unsupervised ML w.r.t. feature creation?
Sir please reply , Kya ye playlist enough ha for placement(2024) , me final year student hu kahi kuch nhi ho rha sir please boliyega mera question ka answer . Me wait krunga apka reply ka
Sir... Aapka naam kya hai... The reason why am asking this is ki...jo insaan mujhe kuch sikha paata hai..main hamesha unko respect karti hun or naam janna to zaruri hota hai na guru ji ka🙏🙏🙏
02:01 AI vs ML vs DL - Understanding the Differences
04:02 AI is currently focused on pattern recognition and lacks capabilities like creativity and emotional intelligence.
06:03 Expert systems were left behind due to their limited applicability in fuzzy logic problems.
08:04 Machine learning is a better approach than symbolic AI because it learns patterns from data instead of relying on predefined rules
10:05 Deep learning is a class of algorithms inspired by biological neurons.
12:06 Deep learning is popular because it can automatically detect features without manual specification.
14:07 Deep learning automatically extracts features and improves efficiency with more layers
16:02 Deep Learning and Machine Learning are both important for building AI.
ye enough ha dost placement ke liye (playlist)
The talent to explain concepts in a simple and lucid language using real-life examples without unnecessary jargon is so underrated
You have the gift of explaining things in simpler terms and I cannot thank you enough. You have my respect.
I think this is one of the best ML playlist
For me, this is probably the best tutorial available on UA-cam for the Hindi region.
hiii
2nd day Of My 100 Days Machine learning journey 😊
i am an excel expert... chartered Accountant least interested in taxes... i am starting toay to learn this.... God be with me...
and thank you sir ...without u i would not have dreamt of this
finally I am got a playlist which give me final selection . thank u so much
🎯 Key Takeaways for quick navigation:
00:00 🚀 *Introduction to "100 Days of Machine Learning"*
- Introduction to the "100 Days of Machine Learning" playlist.
- Audience demand for a comprehensive end-to-end machine learning playlist.
- Creation of a structured curriculum for 100 days, covering the Machine Learning Life Cycle.
01:06 📚 *Importance of Understanding Machine Learning Life Cycle*
- Emphasis on the importance of understanding the end-to-end Machine Learning Life Cycle.
- Distinction between focusing solely on algorithms and incorporating the Machine Learning Life Cycle.
- Announcement of covering challenges in Machine Learning projects during the 100-day series.
02:36 🔄 *Focus Areas in the "100 Days of Machine Learning"*
- Exclusion of algorithm coverage in the playlist.
- In-depth coverage of techniques, flow, deployment, imputation, pre-processing, analysis, model selection, and more.
- Addressing essential concepts like Bias-Variance Trade Off to differentiate ordinary and extraordinary Machine Learning engineers.
04:15 🎯 *Target Audience and Benefits of the Playlist*
- Playlist intended for beginners and intermediate learners in Machine Learning.
- Resource for both students and professionals to deepen understanding.
- Encouragement for audience engagement by suggesting topics for coverage.
05:18 🤖 *What is Machine Learning?*
- Formal definition and explanation of Machine Learning.
- Contrast with explicit programming and introduction to learning from data.
- Insightful flow diagram illustrating the difference between conventional programming and Machine Learning.
08:25 🧠 *Scenarios Where Machine Learning Excels Over Programming*
- Inability to write programs for every scenario leads to the use of Machine Learning.
- Real-life example of e-mail spam classification demonstrating the limitations of explicit programming.
- Complex cases like image classification and data mining where conventional programming falls short.
13:43 🕰️ *History and Growth of Machine Learning*
- Historical overview of Machine Learning's existence.
- Comparison with the career trajectory of actor Nawazuddin Siddiqui.
- Factors contributing to the recent surge in Machine Learning, including data availability and improved hardware.
17:02 💼 *Economics of Machine Learning Jobs*
- Parallel drawn between the growth of Java and current trends in Machine Learning.
- Prediction of increasing salaries due to a shortage of skilled professionals.
- Forewarning about the potential normalization of salaries as more people enter the field.
19:25 🌐 *Future Outlook and Closing Remarks*
- Acknowledgment of the initial growth phase in Machine Learning.
- Encouragement to seize the current opportunity for success in the field.
- Announcement of the next video topic, "Difference Between AI, ML, and DL."
Made with HARPA AI
You have the gift of explaining things in simpler terms and I cannot thank you enough. You have my respect.thank you so much sir...
Thankyou sir ,nobody taught me this good difference in between these topics.
wow Nitish you excel at this skill of explaining things. I've completed the first 2 videos and I've decided to complete this playlist. Will keep liking the videos and commenting for reach. Will share the playlist with peers as well. Thank you friend. :)
Thanks!
There are lots of content available out there but I always prefer to watch your videos because of your way of explaining complex topics in an easy and understanding way
A senior of mine suggested me this playlist and i am so glad i asked her , thankyou so so much sir for this playlist,
one suggestion : you should make the thumbnail more ai ml vali matlb thora ese robot vagera dal ke, kyuki baki playlist me thumbnail ke vjh se bht views hai aur me chahti hu aapki video sab dekhe .
begiiner rightttt????
@@Asadneon yes
@@deeksha-cm8kq is the playlist complete? enough for sem exams?
@@ParadoxicalShubh yaar machine learning is not in my syllabus i am studying it just to gain a skill for my resume , so I can't really tell you about the sem exams thing
@@deeksha-cm8kq ohh okay , so u want to be an data engineer i guess?
Simply Awesome, such a great explanation
Really good, first time I can totally differentiate between Ai Ml and dl
very clear and neat explanation ..hats off for your effort
wonderful, you have mentioned these things in amazingly simpler terms .. great !!
Really informative. Clear difference in between the systems. Loved it. Thankyou!
Sir you have very wonderful knowledge. You are very conceptually sound.
Sir, Thanks a lot for This Amazing Lecture 🙂
Lecture - 2 Completed ✅
Got one of the best playlist✨
Thank uh so mch 👍👍
Best video I have ever seen on that topic sir
From today onward I am going to start the #100daysmahcinelearning course by Nitish Singh sir.
Yo did you complete it??
👀👀@@ConiferousWaffle
This is too good 🔥🔥👏
11:30 Project Idea
Thanks for making this tutorials. I will be dropping comment [such as "seen"] as bookmarker to keep a track of my learning.
Good one! thank you and keep making this kind of stuff!
Well structed, well explained and totally interesting ❤
You are my favourite teacher Sir,
You are my inspiration 🥰
Great introduction as you always best in delivering content 🥳
You are doing great work..All the best..
thoko thaali... thoko like... mast explanation... :)
I have a question-
You explained that DEEP automatically creates features and this is a main benefits but in unsupervised ML algos also we don't need to define features. Then, how it is comparable with unsupervised ML w.r.t. feature creation?
In unsupervised also features are there but there are no output labels present
@@Himanshu-hq8og can you plz elaborate it more.... I am not able to get that
Course Started : ML
Lecture-01: 14/08/2024
Lecture-02: 14/08/2024
i started on 16
sir you are great such a nice information...
Thank You, great content.
Sir please reply , Kya ye playlist enough ha for placement(2024) , me final year student hu kahi kuch nhi ho rha sir please boliyega mera question ka answer . Me wait krunga apka reply ka
Best playlist of machine learning but the major drawback is contents of the topics is'nt provided😢
@CampusX sir but u said ml doesnt need explicit programming before, but now your saying ml works on predefined rules? Explain
On a mission to complete this playlist and grow your channel
Great explanation,Sir!!!
Great Explanation Sir.
Really wondering that machine learning is a huger field now but accoss a lot of platforms I did not even got any complete course of ML sadly!!!!
Can we also improve performance using machine learning instead of using deep learning
UNDERSTOOD SIR
2nd video completed ❤
Thanks so much Nitish
Keep making such videos ❤️
done, thanks!
Hello sir, pls ish questions ko batane kese karenge
Python main develop a program to build rules for classification
Very nice sir
Can we improve performance using machine learning
Hi sir would you plz make a complete playlist on flask for machine learning?
You are best❤
please add english subtitles to the video. It will be very helpful
Thank you so much
bohat khob bhai bohat acha
Thank you Sir 🙂
How can i get this with english captions?😢
Question is how machine performs the pattern recognition
Bro can you explain how you created that resume system
Amazing video
Is this good for university exam
Kya machine learning sikhne se pahle AI padna jaruri hai.
No
Thanks a lot sir
Nicely explained
Sports analytics company konsi h sir
analyticsindiamag.com/scoring-analytics-top-sports-analytics-companies-india/
Sir i want to learn machine learning practical how can you help me?
AI Vs ML vs DL for Beginners in Hindi
Sir cnn is a topic of deep learning or not
Yes it is
Lecture -2 Day 1
(15/09/24)
*********************************
sir Master kis me krna chae AI me ya machine learning me 🥺🥺🥺????
*********************************
Data science
what about explainable AI sir
Completed once
Bro iam from South. I didn't understand hindi. Will you add english subtitles to the all the videos of ML.
Let him explain in hindi. There are plenty of contents available in English.
@@raahi2138 we are South indians bro. Hindi is not our mother tongue. We didn't even use hindi in our conversations.
thanks sir
Sir... Aapka naam kya hai... The reason why am asking this is ki...jo insaan mujhe kuch sikha paata hai..main hamesha unko respect karti hun or naam janna to zaruri hota hai na guru ji ka🙏🙏🙏
Hi Anindita. My name is Nitish. You can get more info about me on my LinkedIn profile, here is the link www.linkedin.com/in/nitish-singh-03412789
Day 2 done
English version needed....
Sir opencv ke videos upload karo please
Yes pls
finished watching
My journey is start 100 days 🛣
All the best :)
Day 1
I am a public sector teacher from Punjab Pakistan want to learn skills which are most demanding in future
3.3 lakhs views 😢 competitors badh rahe hai salary decrement hone wala hai mtlb 😂
Is time kn kn ye series dekh raha ?
14:22 😂😂😂
zero presentations Sir i would be goood if you add some presentations sir
Day 1: 04/07/2024
Today is my day one and I have completed 2 videos.
Hey... Have you been consistent till now? All the best for your ML journey. 🎉 Today is my day - 1. Wish me good luck...😊
🔥🔥🔥🔥
Bhai sound toh sahi rakh leta aawaz tak nahi aa rai
🔥 🔥
pyaar ka equation 😂😂😂😂😂🤣
Day 1: 11/10/24
👌👌👌👌
record keeping #day001
done