Machine Learning Course for Beginners - Theory

Welcome to the Fun and Easy machine learning course in 3 hours Updated for 2021, where you will be learning popular theoretical topics in :
➜Machine Learning,
➜Neural Networks, and
➜Computer Vision.

⭐==Enroll in AI Courses==
YOLOR Object Detection Course - https://augmentedstartups.info/YOLORPROCourse

This course is designed to be simple and fun without all of complex math and boring explanations. Each theoretical lecture is crafted using whiteboard animations like this one which maximizes concentration, and knowledge retention making you feel like a Machine Learning expert once you have completed this free training.

==Curriculum==
0:00 - Introduction
9:56 - Decision Tree
18:10 - Random Forests
25:17 - Logistic Regression
32:26 - K-Nearest Neighbors (KNN)
37:44 - Support Vector Machines (SVM)
44:41 - Naïve Bayes
56:00 - K-Means Clustering
1:04:18 - Hierarchical Clustering
1:13:22 - Principal Component Analysis
1:25:51 - Linear Discriminant Analysis
1:32:59 - Apriori
1:45:07 - Eclat
1:50:23 - Artificial Neural Networks
2:08:25 - Convolutional Neural Networks
2:17:34 - Recurrent Neural Networks
2:19:20 - YOLO v1- v3 (You Only Look Once)
2:31:47 - YOLOv4 Object Detection
2:43:12 - Mask RCNN
2:52:58 - Pose Estimation - OpenPose
3:03:39 - DeepSORT Object Tracking

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Видео Machine Learning Course for Beginners - Theory канала Augmented AI