Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
Overview of logistic regression, a statistical classification technique.
From playlist Machine Learning
Statistical Learning: 12.1 Principal Components
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Statistical Learning: 2.4 Classification
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Statistical Learning: 2.1 Introduction to Regression Models
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Statistical Learning: 2.3 Model Selection and Bias Variance Tradeoff
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Statistical Learning: 3.3 Multiple Linear Regression
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Complete Roadmap to become a Data Scientist | Data Scientist Career | Learn Data Science | Edureka
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐ ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐: https://www.edureka.co/data-science-python-certification-course (Use code ๐๐๐๐๐๐๐๐๐ for a flat 20%off on all trainings) This video on 'Data Scientist Roadmap' will help you understand who is a Data Scientist, Data Scientist Roles and
From playlist Data Science Training Videos
Statistical Learning: 1.2 Examples and Framework
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Hypothesis Testing In Statistics | Hypothesis Testing Explained With Example | Simplilearn
In this video, you are going to learn about Hypothesis Testing in Statistics. We will discuss the null hypothesis, the alternate hypothesis, the statistical significance of a hypothesis test, and more. This video breaks down these concepts into easy-to-understand chunks so you can grasp th
Confidence Interval And Hypothesis Testing | Statistics Tutorial For Beginners | Simplilearn
๐ฅ Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=ConfidenceIntervalAndHypothesisTesting-QD6CZBFEog0&utm_medium=Descriptionff&utm_source=youtube ๐ฅ Data Science Bootcamp (US Only): https://www.simplilearn
From playlist Data Science Course | Simplilearn ๐ฅ[2022 Updated]
Noรฉmie Combe - How many Frobenius manifolds are there?
In this talk an overview of my recent results is presented. In a joint work with Yu. Manin (2020) we discovered that an object central to information geometry: statistical manifolds (related to exponential families) have an F-manifold structure. This algebraic structure is a more general v
From playlist Research Spotlight
Live-2 | Job Skill Mapping for Data Science | Data Scientists Role | Data Science Training | Edureka
๐ฅEdureka Data Scientist Masters Program: https://www.edureka.co/masters-program/data-scientist-certification This video will provide you with a piece of detailed and comprehensive knowledge of Data Science skill set mapping along with roles and responsibilities. It will also cover the var
From playlist Edureka Live Classes 2020
Mathematics of Machine Learning and the Ising Model (Clement Hongler) | Ep. 9
Clement Hongler is a professor of mathematics at EPFL in Switzerland. His research is in lattice models and conformal field theory, and also in neural networks. We discuss how he came to investigate these two different areas, and then talk about some problems in these fields. Clement's we
From playlist Daniel Rubin Show, Full episodes
Danilo Bzdok: "Algorithmic Analytics towards Precision Psychiatry"
Computational Psychiatry 2020 "Algorithmic Analytics towards Precision Psychiatry" Danilo Bzdok - McGill University Abstract: Neuroscience datasets are constantly increasing in resolution, sample size, multi-modality, and meta-information complexity. This opens the brain imaging field to
From playlist Computational Psychiatry 2020
Statistical Learning: 7.4 Generalized Additive Models and Local Regression
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Kaggle Reading Group: Probing Neural Network Comprehension of Natural Language Arguments (Part 2)
BERT (which we read the paper for earlier) has had really impressive success on a number of NLP tasks... but how well is it really capturing the structures of natural language? This week we're continuing with "Probing Neural Network Comprehension of Natural Language Arguments" (Niven & K
From playlist Kaggle Reading Group | Kaggle
Introduction to Analytics - A Data Science Demo Class
This demo class on Data Science has been designed to provide you with the understanding of analytics and to initiate you to the basic tools that are used across the industry. We then deliver a little deep into the role of a data scientist and how the thought process flows including definin
Statistical Learning: 3.1 Simple linear regression
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Quentin Berthet - Trade-offs in Statistical Learning
I will explore the notion of constraints on learning procedures, and discuss the impact that they can have on statistical precision. This is inspired by real-life concerns such as limits on time for computation, on reliability of observations, or communication b
From playlist Schlumberger workshop - Computational and statistical trade-offs in learning