Basic Statistics by Data Scientist 【Part 7 : Bayes' Theorem】

Basic Statistics Tutorial on Bayes' Theorem
📊 Welcome to our Statistics for Data Science tutorial!
This tutorial is designed for beginners in statistics aiming to enhance their understanding for data science and AI applications. In this session, we'll explore the concept of independence alongside Bayes' theorem.
This is the 7th tutorial in our "Basic Statistics Tutorial" series. Part 8 of the lecture will be released next Monday. Be sure to show your support by liking this video and subscribing to our channel, MetaCode!
🧾 Contents:
00:00:00 - Independence / Dependence
00:04:37 - Bayes' Theorem
#statistics #datascience #bayestheorem

[@metacodeMG]

🔥If you need to download course materials, please contact us via email at [e-mail]
📩 Please leave the link to the video you want to receive lecture materials for, and also leave your thoughts or feedback on our Meta Code lectures. After confirming, we will reply with the files.😊😊

[@metacodeMG]

We are an AI education platform with headquarters in California, producing AI-related content, including what you see uploaded on this channel. We initiated our business in Korea, actively running several AI communities through our Korean UA-cam channel and our website.
Starting this April, we decided to share the content we've been producing with global audiences. We believe that the fastest way to share our lectures with you is by recording an English voice-over for the original lectures, which were delivered in Korean, rather than re-recording the entire lectures.
This is our first time delivering lectures like this, and we understand that there may be some inconvenience while you are watching. However, we promise you that we will continue to improve the quality of the lectures we upload.
We work very hard to deliver reliable and informative content that is necessary for enhancing your knowledge in AI. We appreciate not only the subscriptions to our channel but also all the kind words you've shared in the comments. They have truly encouraged us and strengthened our belief that we are creating content that is beneficial to our global audience.
Currently, we are working on lectures covering calculus for machine learning, deep learning, and AWS certifications, in addition to statistics. We also have plans to conduct more lectures on NLP, Java, OpenAI API, and much more.
Thank you for supporting our channel, and we promise to continue creating high-quality content!
✨ If you are a professional or represent an institute in the tech field, we would love to collaborate with you! We are planning to launch a global AI education platform in October and are interested in your professional expertise. If you are passionate about sharing your experiences and helping others succeed in the tech field, please reach out to us via email at [e-mail]. We have extensive experience collaborating with global field experts and are excited about the opportunity to work with you! ✨

[@metacodeMG]

🔥Check out other parts of our statistics tutorial!
Full Lecture: ua-cam.com/video/maRJpOJHwdE/v-deo.html
Part 1: ua-cam.com/video/zSItFDTcAU8/v-deo.html
Part 2: ua-cam.com/video/agUSAQsbiLE/v-deo.html
Part 3: ua-cam.com/video/uR8PK9L8tno/v-deo.html
Part 4: ua-cam.com/video/ZJ_8bdfzGDY/v-deo.html
Part 5: ua-cam.com/video/sdQRrHze92w/v-deo.html
Part 6: ua-cam.com/video/ukBC1CB-dOg/v-deo.html
Part 7: ua-cam.com/video/6kWnKhe4hIE/v-deo.html
Part 8: ua-cam.com/video/Eh7GWIzNgms/v-deo.html
Part 9: ua-cam.com/video/0tn0M1YujP0/v-deo.html
🤖Check out our linear algebra tutorial!
Full Lecture: ua-cam.com/video/3Bf9oh7nkus/v-deo.html