Overview of logistic regression, a statistical classification technique.
From playlist Machine Learning
(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Machine Learning
(ML 11.8) Bayesian decision theory
Choosing an optimal decision rule under a Bayesian model. An informal discussion of Bayes rules, generalized Bayes rules, and the complete class theorems.
From playlist Machine Learning
(ML 10.2) Posterior for linear regression (part 1)
How to compute the posterior distribution for the weight vector w under a Bayesian model for linear regression.
From playlist Machine Learning
Lecture 07 Support Vector Machines
Machine Learning by Andrew Ng [Coursera] 0701 Optimization objective 0702 Large Margin Intuition 0703 The mathematics behind large margin classification (optional) 0704 Kernels I 0705 Kernels II 0706 Using an SVM
From playlist Machine Learning by Professor Andrew Ng
Randomized Greedy Algorithms for the Maximum Matching Problem with New Analysis - Mario Szegedy
Mario Szegedy Rutgers, The State University of New Jersey April 30, 2012 http://math.ias.edu/files/seminars/Szeg.pdf For more videos, visit http://video.ias.edu
From playlist Mathematics
Deep Learning Crash Course for Beginners
Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code. You'll learn about Neural Networks, Mach
From playlist Machine Learning
Machine Learning with Imbalanced Data - Part 2 (Cost-sensitive Learning)
In this video, we discuss the class imbalance problem and several strategies to address this problem. Existing methods can be divided into data-level preprocessing methods (resampling), cost-sensitive learning, and ensemble learning. The main focus of this video is cost-sensitive little wi
From playlist Machine Learning with Imbalanced Data - Dr. Data Science Series
REFERENCES [1] A Short Introduction to Boosting: https://cseweb.ucsd.edu/~yfreund/papers/IntroToBoosting.pdf [2] A Theory of the Learnable (Valiant, 1984): http://web.mit.edu/6.435/www/Valiant84.pdf. This introduced the PAC Learning model [3] PAC Learning Model: https://www.youtube.com/wa
From playlist Algorithms and Concepts
The Master Algorithm | Pedro Domingos | Talks at Google
Machine learning is the automation of discovery, and it is responsible for making our smartphones work, helping Netflix suggest movies for us to watch, and getting presidents elected. But there is a push to use machine learning to do even more—to cure cancer and AIDS and possibly solve ev
From playlist AI talks
Artificial Intelligence with Python | Artificial Intelligence Tutorial using Python | Edureka
🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai This Edureka video on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelli
From playlist Python Programming Tutorials | Edureka
What is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutorial | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=DeepLearning-FbxTVRfQFuI&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https://www.si
From playlist Deep Learning Tutorial Videos 🔥[2022 Updated] | Simplilearn
Deep Learning Interview Questions and Answers | AI & Deep Learning Interview Questions | Edureka
** AI and Deep-Learning with TensorFlow - https://www.edureka.co/ai-deep-learning-with-tensorflow ** This video covers most of the hottest deep learning interview questions and answers. It also provides you with an understanding process of Deep Learning and the various aspects of it. PG i
From playlist Deep Learning With TensorFlow Videos
Ensemble Learning | Ensemble Learning In Machine Learning | Machine Learning Tutorial | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=EnsembleLearning&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https://www.simplilear
Stochastic Gradient Descent: where optimization meets machine learning- Rachel Ward
2022 Program for Women and Mathematics: The Mathematics of Machine Learning Topic: Stochastic Gradient Descent: where optimization meets machine learning Speaker: Rachel Ward Affiliation: University of Texas, Austin Date: May 26, 2022 Stochastic Gradient Descent (SGD) is the de facto op
From playlist Mathematics
A* Algorithm In Artificial Intelligence | A* Algorithm Explained With Example | AI | Simplilearn
In this video, A* Algorithm in Artificial Intelligeance, you will learn everything you need to know about the A* Algorithm from scratch. Learn about the A* Algorithm and it's basic principle and learn to implement it with Python. To help you better understand, we have A* Algorithm Explaine