“ðŸ”ĨMicrosoft AI Engineer Program – https://www.simplilearn.com/ai-engineer-course?utm_campaign=ukzFI9rgwfU&utm_medium=DescriptionFF&utm_source=Youtube
ðŸ”ĨIIT Kanpur – Professional Certificate Course in Generative AI and Machine Learning – https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=ukzFI9rgwfU&utm_medium=DescriptionFF&utm_source=Youtube
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ðŸ”ĨIITM Pravartak – Professional Certificate in Generative AI Machine Learning and Intelligent Control Systems – https://www.simplilearn.com/generative-ai-ml-intelligent-control-systems-course?utm_campaign=ukzFI9rgwfU&utm_medium=DescriptionFF&utm_source=Youtube
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This Machine Learning basics video will help you understand what Machine Learning is, what are the types of Machine Learning – supervised, unsupervised & reinforcement learning, how Machine Learning works with simple examples, and will also explain how Machine Learning is being used in various industries. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into self-learning mode without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results.

The below topics are explained in this Machine Learning basics video:
1. What is Machine Learning? ( 00:21 )
2. Types of Machine Learning ( 02:43 )
2. What is Supervised Learning? ( 02:53 )
3. What is Unsupervised Learning? ( 03:46 )
4. What is Reinforcement Learning? ( 04:37 )
5. Machine Learning applications ( 06:25 )

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning and follow the path toward your dream career- https://bit.ly/3eLuTUo

Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

#MachineLearning #WhatIsMachineLearning #MachineLearningTutorial #MachineLearningBasics #MachineLearningTutorialForBeginners #Simplilearn

➡ïļ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features
– Add the IBM Advantage to your Learning
– 25 Industry-relevant Projects and Integrated labs
– Immersive Learning Experience
– Simplilearn’s JobAssist helps you get noticed by top hiring companies

✅ Tools Covered
– ChatGPT
– Flask
– Matplotlib
– django
– Python
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👉Learn More at: https://www.simplilearn.com/professional-aiml-program?utm_campaign=MachineLearningscribe&utm_medium=DescriptionFirstFold&utm_source=youtube
ðŸ”ĨML Engineer Career Roadmap Guide: https://www.simplilearn.com/career-roadmap/machine-learning-engineer?utm_campaign=CareerRoadamp&utm_medium=Description&utm_source=youtube

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50 Comments

@SimplilearnOfficial · November 13, 2026 at 12:31 pm

ðŸ”ĨMicrosoft AI Engineer Program – https://www.simplilearn.com/ai-engineer-course?utm_campaign=ukzFI9rgwfU&utm_medium=Comments&utm_source=Youtube
ðŸ”ĨIIT Kanpur – Professional Certificate Course in Generative AI and Machine Learning – https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=ukzFI9rgwfU&utm_medium=Comments&utm_source=Youtube
ðŸ”ĨMichigan Engineering Professional Certificate in AI and Machine Learning – https://www.simplilearn.com/professional-aiml-program?utm_campaign=ukzFI9rgwfU&utm_medium=Comments&utm_source=Youtube
ðŸ”ĨIITM Pravartak – Professional Certificate in Generative AI Machine Learning and Intelligent Control Systems – https://www.simplilearn.com/generative-ai-ml-intelligent-control-systems-course?utm_campaign=ukzFI9rgwfU&utm_medium=Comments&utm_source=Youtube
ðŸ”ĨIIT BHU – Post Graduate Certificate Program in Artificial Intelligence & Machine Learning – https://www.simplilearn.com/pgp-generative-ai-machine-learning-agentic-ai?utm_campaign=ukzFI9rgwfU&utm_medium=Comments&utm_source=Youtube

@GADICOGatla · November 13, 2026 at 12:31 pm

scenario – 1
= supervised learning
scenario – 2
= unsupervised learning
scenario – 3
=unsupervised learning

@SarthakMalpure7 · November 13, 2026 at 12:31 pm

Wow âĪ😊🎉

@swarnimapal6237 · November 13, 2026 at 12:31 pm

I am a kid but i understood all the things

@ContentInfo-y2q · November 13, 2026 at 12:31 pm

same lesson from back 8 years, will it work as effectively as it would then?

@AnandKumar-n2u4r · November 13, 2026 at 12:31 pm

Scenario 1 – Supervised
Scenario 2 – Supervised
Scenario 3 – Unsupervised

@shannugamer2425 · November 13, 2026 at 12:31 pm

Scenario 1: Facebook recognizes your friend in a picture from an album of tagged photographs

Explanation: It is supervised learning. Here Facebook is using tagged photos to recognize the person. Therefore, the tagged photos become the labels of the pictures and we know that when the machine is learning from labelled data, it is supervised learning.

Scenario 2: Recommending new songs based on someone’s past music choices

Explanation: It is supervised learning. The model is training a classifier on pre-existing labels (genres of songs).

This is what Netflix, Pandora, and Spotify do all the time, they collect the songs/movies that you like already, evaluate the features based on your likes/dislikes and then recommend new movies/songs based on similar features.

Scenario 3: Analyze bank data for suspicious looking transactions and flag the fraud transactions

Explanation: It is unsupervised learning. In this case, the suspicious transactions are not defined, hence there are no labels of ""fraud"" and ""not fraud"". The model tries to identify outliers by looking at anomalous transactions and flags them as 'fraud'."

@thebham24 · November 13, 2026 at 12:31 pm

What software do you use to create these whiteboard animation videos? any recommendations?

@oseflisa · November 13, 2026 at 12:31 pm

So ,Matchine learning, is a branch of artificial intelligence that is focused on building models that learn from data to make predictions without being explicitly programmed with handcoded rule. Is that right?

@fiitglobal · November 13, 2026 at 12:31 pm

You gave me the solution to what i need to know in machine learning

@adhammohey-p4g · November 13, 2026 at 12:31 pm

I Will Be The Smartest Ai Engineer In The World âĪ👍

@gauravtargetair1145 · November 13, 2026 at 12:31 pm

1) supervised 2) unsupervised 3) reinforcement

@devnull0x01 · November 13, 2026 at 12:31 pm

I love listening to her!

@labs_square · November 13, 2026 at 12:31 pm

These videos are really informative and useful for both students and working professionals…..

@FarazAdil-k3j · November 13, 2026 at 12:31 pm

In an ATM we give input of how many Notes of 500 Rupees should obtained x=y*500 where y is number of notes.

@benjosesebastian1402 · November 13, 2026 at 12:31 pm

A: supervised

@aaminanaeem4698 · November 13, 2026 at 12:31 pm

Instagram suggestions of videos and reels we watched

@GidgetLopeman · November 13, 2026 at 12:31 pm

This video goes straight to my favorites!

@AllyJaha-u6s · November 13, 2026 at 12:31 pm

please make a series of this by partition a long video of 6 or more hours

@AllyJaha-u6s · November 13, 2026 at 12:31 pm

please make a series of this by partition a long video of 6 or more hours

@AsamoahDarkwah · November 13, 2026 at 12:31 pm

Machine learning focuses on creating machines that can learn from data rather than being programmed explicitly for every single task.

@Unfiltered_Harish · November 13, 2026 at 12:31 pm

S1 – Supervised (Beacause you need data for it), S2 – Unsupervised, S3 – Supervised. @Simplilearn

@HWL_tech_mods · November 13, 2026 at 12:31 pm

Really interesting video, the explanation was clear and easy to follow 👍

@AbdullahA-x1p · November 13, 2026 at 12:31 pm

Before this video: confusion. After this video: unstoppable.

@NuthanDrshivu-e6d · November 13, 2026 at 12:31 pm

Anyone in 2026🎉🎉

@KarenAngwi · November 13, 2026 at 12:31 pm

2-reinforced learning 5:48

@ShahidAkhter-x2v · November 13, 2026 at 12:31 pm

machine learning should be named teaching machine!

@raghurajsinghshekhawat8454 · November 13, 2026 at 12:31 pm

Great😊

@Fathimahaha · November 13, 2026 at 12:31 pm

Ssu

@laughriotcentral1 · November 13, 2026 at 12:31 pm

1. facebook recognition- supervised learning
2. netflix recommendations- unsupervised learning
3. fraud detection- supervised learning

@CaeyuFaryi · November 13, 2026 at 12:31 pm

I didn’t just learn, I evolved.

@piyushagarwal6271 · November 13, 2026 at 12:31 pm

zomato , blinkit also uses machine learning

@AbhiKumar-p4d1y · November 13, 2026 at 12:31 pm

My brain just leveled up like a video game character.

@SaleemRaza-d4p · November 13, 2026 at 12:31 pm

I’m in awe of how clearly you explained this!

@CaowmsuehNaowmsus · November 13, 2026 at 12:31 pm

Absolutely standout quality, so impressive!

@āļŠāļēāļ„āļĢāļšāļąāļ§āļ—āļ­āļ‡āđ€āļĢāļ·āļ­āļ‡-āļ2āļˆ · November 13, 2026 at 12:31 pm

I clicked this expecting chaos, but got clarity instead. Plot twist.

@RIDWANOWOLABI-c8d · November 13, 2026 at 12:31 pm

Absolute perfection, what a tutorial!

@Avobas-g2f · November 13, 2026 at 12:31 pm

This channel just became my new favorite!

@AlbertoFarrow-k8d · November 13, 2026 at 12:31 pm

You’re a total rockstar for making this video!

@AlbertoFarrow-k8d · November 13, 2026 at 12:31 pm

I’m convinced this video is powered by sorcery.

@JujuSani-y6n · November 13, 2026 at 12:31 pm

This completely changed the game for me!

@HilarioAnibal · November 13, 2026 at 12:31 pm

This was unbelievably satisfying to watch!

@MeabhuoRafulez · November 13, 2026 at 12:31 pm

thank you! i appreciate this so much

@AbdAziz-h2s · November 13, 2026 at 12:31 pm

thanks for the great explanation!

@āļĄāļ°āļŠāļļāļāļĢāļĩāļāļđāļ™āļīāļ‡-āļĻ8āļŸ · November 13, 2026 at 12:31 pm

This video goes straight to my favorites!

@isrraelvelasquez44 · November 13, 2026 at 12:31 pm

I’m fired up after watching this, so good!

@SaeedJabir-x2m · November 13, 2026 at 12:31 pm

I’m dangerously confident now. Thanks a lot.

@mdalmamun2963 · November 13, 2026 at 12:31 pm

I can’t believe how clearly you explained this!

@ajeetrajput9778 · November 13, 2026 at 12:31 pm

My confusion just packed its bags and left.

@AlexMx-c3f · November 13, 2026 at 12:31 pm

This was unbelievably satisfying to watch!

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