Probability Introduction | Distribution Types

Course link : https://www.edx.org/course/probability-and-statistics-in-data-science-using-p?index=product&queryID=be4a27075f3be4bd05573d08798a1004&position=1 About this course The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning. In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks. Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL. What you'll learn Skip What you'll learn The mathematical foundations for machine learning Statistics literacy: understand the meaning of statements such as "at a 99% confidence level" Welcome to Probability and Statistics in Data Science using Python. In this course you will learn the following topics (some may be added or dropped) from both a theoretical viewpoint and using the Python programming language: sets and counting discrete probability general discrete probability spaces random variables pairs of random variables common distributions central limit theorem hypothesis testing PCA and regression entropy and compression Please Subscribe and Active bell /channel/UCutqZrmK3T8p-BU0cAuIRiA?view_as=subscriber To translate any video on YouTube to any language you want And download any video from YouTube: https://savesubs.com/ar Support me financially on Patreon : https://www.patreon.com/Mohamed_Elbana You must use this site to save your money while shopping : https://dubli.com/RAF311CB if you need any help, contact me at the following email. : galaxyofscience2@gmail.com my WhatsApp : +1 (423) 243-2274 If you want to learn anything in the best way at all, and from the top universities in the world , and from the best teachers, trainers, and learners in the world, learn from the following websites EDX : https://www.edx.org/ Udacity : https://www.udacity.com/ Coursera : https://www.coursera.org/ Udemy : https://www.udemy.com/ google digital garage : https://learndigital.withgoogle.com/digitalgarage skill share : https://www.skillshare.com/ future learn : https://www.futurelearn.com/ Alison : https://alison.com/ Lynda : https://www.lynda.com/ Evanto Tuts+ : https://tutsplus.com/ open culture : http://www.openculture.com/ TED : https://www.ted.com/ Open learn : https://www.open.edu/openlearn/ Linked in learning : https://bit.ly/3fDIy00 or shorturl.at/cLM25 youtube : / University of the people : https://www.uopeople.edu/ Facebook blueprint : https://www.facebookblueprint.com/student/catalog Saylor : https://www.saylor.org/ Microsoft Learn : https://docs.microsoft.com/en-us/learn/browse/ GitHub Learning Lab : https://lab.github.com/ khan academy : https://www.khanacademy.org/ Zad academy : https://www.zad-academy.com/ To know any information or anything from the following link : https://www.google.com/ Cambly : https://www.cambly.com/english?lang=en&lang=en EF ENGLISH LIFE : https://englishlive.ef.com/ar-sa/ Z AMERICAN ENGLISH CHANNEL : /channel/UCHrD4qdeQc1BbpG6EPqDBcA Walid Issa channel to Learn electronics engineering : /user/wrmissa hsoub : https://www.hsoub.com/ edraak : https://www.edraak.org/ rwaq : https://www.rwaq.org/ nadrus : https://www.nadrus.com/ coursat : https://www.coursat.org/ IT courses pro : https://itcoursespro.com/ar/ alefstartup : https://www.alefstartup.com/ tamkeen : https://tamkeen-edu.org/ Nafham : https://www.nafham.com/ My other channels : The Holy Quran Channel : /channel/UC_Mwr_ZIolgjFubs_uC9Xzw?view_as=subscriber My Courses channel : /channel/UC63T5kvsyb9dGS-ArPWKcqw?view_as=subscriber My English channel : /channel/UCnLro8o8FoTI3KwMBsDSZOA Follow me on social media : My blogger: http://www.elbana1.com/ my Facebook account: https://www.facebook.com/profile.php?id=100039043025250 Channel page on Facebook : https://www.facebook.com/Mohamed.Elbana0 Channel group on Facebook : https://www.facebook.com/groups/475865859620805 Follow me on Instagram : https://www.instagram.com/superorange582/ Follow me on Twitter: https://twitter.com/GNIRALMOHAMED34 #Mohamed_Elbana GitHub of CS50 : https://cs50.me/cs50ai TO learn more about the CS50 offered by Harvard from the following link : https://bit.ly/3fJIfRd or shorturl.at/iEJTX

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