Mastering Probability for ML: Joint | Marginal | Conditional Probability and Bayes' Theorem

Dive into the fascinating world of probabilities with this comprehensive guide. This video takes an in-depth look at crucial concepts like Joint Probability, Marginal Probability, Conditional Probability, and Bayes' Theorem, which form the bedrock of advanced statistical analysis and machine learning.

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⌚Time Stamps⌚

00:00:00 - Session start
00:01:29 - Recap of the previous class
00:03:35 - Venn Diagrams in Probability
00:12:12 - Contingency tables in Probability
00:17:49 - Joint Probability
00:27:44 - Marginal Probability
00:35:46 - Conditional Probability
00:56:10 - Intuition of Conditional Probability Formula
01:00:14 - Independent vs. Dependent vs. Mutually Exclusive Events
01:08:04 - Bayes Theorem

✨ Hashtags✨
#ProbabilityForML #EasyLearning #BayesTheoremExplained #MachineLearningBasics #ProbabilitySimplified

[saurabhkulkarni]

You're PRO. who taught us probability where our 10-12th math's teacher failed...!!!

[shashankbangera]

best video ever on probability hands down, cleared a lot of doubts i had on fundamentals of probability

[satyavathibadeti]

प्रिय सर,

सबसे पहले धन्यवाद इस वीडियो के लिए। मैं वर्तमान में अच्छे सांख्यिकी और प्रायिकता सीखने के स्रोत की खोज कर रहा हूँ। मैंने इस विषय में इंटरनेट पर गहन खोज की, लेकिन इस वीडियो से मेरे लिए बेहतर समझ कोई और स्रोत नहीं दे सका।

मुझे लगता है कि आप इस सामग्री को और बेहतर बना सकते हैं, और अतिरिक्त अभ्यास सेट्स को एक और वीडियो के रूप में प्रदान करके। हमारी इच्छाओं को समझने का प्रयास करें, और साथ ही साथ सांख्यिकी के लिए इसी तरह की सामग्री प्रदान करें। यदि आप वास्तविक जीवन के अभ्यास सेट के साथ स्पष्ट सामग्री प्रदान करते हैं, तो मुझे पूर्ण विश्वास है कि आपकी सामग्री दूसरों से अधिक मूल्यवान होगी। आपके योगदान के लिए धन्यवाद।

[SambitSatapathy-eb]

Great explanation! Now, I understand application of Bayes theorem in ML intuitively. Thank you.

[rajeevkumar-cifz]

Hi, please complete Deep learning playlist also

[_Lord_Puneet]

Sir please complete DSA, jo bache hue topics hai.
Sir mujhe pata nhi ki aap ek great coder hai ya nhi.
But aap ek good teacher jarur hain, aap content ko achhe se deliver karna jante ho. Aap logo ko sikha sakte ho.
YouTube pe bahut se content hai but unhone uss chij deliver nhi Kara hai jo aap kar rahe ho.
If aapke channel pe koi specific content n ho to v aap hame vo dhundh ke lakar dete ho like "thaali me paros kr dena".
Thank u sir

[satyavathibadeti]

Dear Sir,

I wanted to express my gratitude for your video, which I found extremely helpful. I have been diligently searching the internet for good resources on statistics and probability learning, but none have provided me with a better understanding than your video.

I believe you could enhance the content even further by including additional practice sets in the form of other videos. Understanding what we need and providing content on statistics in a similar manner would be greatly appreciated. you offer clear explanations with real-world practice sets, I am certain your content will be highly valued above Thank you so much for your efforts.

Best regards,
sai krishna

[shashankshekharsingh]

please have my respect sir 🙏🙏, no one can teach like you

[volcanimator]

Am confident in probability thank you sir Love From Pakistan

[NickMaverick]

Awesome.. all concepts clear... Last line was funny.. yeh maar jayega because he's a male😂

[akshaythakor]

I can't express about this video because I gain a lot of knowledge of probability❤❤

[pacito]

sir, please share the notes of the lecture .

[karandone]

Thankyou, statistics explainh in depth part .. and it is very useful for me .. if you remove subscribtion part in anova and chi square that part i also complete .. only two topic pending in statistics that is paid subscription..

[arpanpal]

sir please share the PDF notes of this lecture

[EbenHaEzer-do]

sir, can you share PDF notes of this lecture

[melroypereira]

Sir, please continue deep learning playlist

[rupeshverma]

Hi Sir - nice video again - i have one question - in the last section in Bayes theorem - we are solving the problem like p(0/M) - if a new data point occur and it is male then what is the chances of p of dying given male -- why we are not using conditional probability to solve this problem - it looks similar - please clear my doubt

[virajkunjir]

Sir @CampusX can please you provide pdf to this video.
Both videos where super nice and in detail, thank you for your effort.

[saurabhkulkarni]

Can you pls provide notes for the 2nd part Probability?

[deeprajmazumder]

What happened to the data science mentorship program guys? why is it not updating? did I miss any update about the course or is it postponed?