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تعلم الآلة بالعربي مع الجوهري
#1 What is Machine Learning

#1 What is Machine Learning

تعلم الآلة بالعربي مع الجوهري

الدرس التالي

محتوى الكورس

جميع الدروس
47 درس
06:01 #1 What is Machine Learning
16:06 Machine Learning || Supervised Learning
07:18 Machine Learning || Unsupervised Learning
07:44 Simple Linear Regression Model
08:22 Machine Learning || Linear Regression || Cost Function
19:35 Machine Learning || Linear Regression || Cost Function for One Parameter
14:08 Machine Learning || Linear Regression || Cost Function for Two Parameters
08:08 Machine Learning || Linear Regression || Gradient Descent Overview
12:05 Machine Learning || Linear Regression || Gradient Descent Mathematically
15:46 Machine Learning || Gradient Descent for Linear Regression
09:45 Machine Learning || Multiple Linear Regression Model
13:18 Machine Learning || Multiple Linear Regression Model || Feature Scaling
09:02 Machine Learning || Checking Gradient Descent for Conversions || Choosing the learning rate
07:26 Machine Learning || Feature Engineering || Polynomial Regression
06:25 Machine Learning || Linear Regression vs. Classification
07:23 Machine Learning || Logistic Regression
08:16 Machine Learning || Decision Boundary
17:29 Machine Learning || Cost Function for Logistic Regression
08:47 Machine Learning || Overfitting and Underfitting
09:29 Machine Learning || How to prevent Overfiting
11:31 Machine Learning || Cost Function with Regularization
08:33 Machine Learning || Gradient Descent with Regularization
10:07 Machine Learning || Introduction to Neural Networks
14:42 Machine Learning || Neural Networks in details
14:55 Machine Learning || Neural Networks || Activation Functions
17:09 Multi-class Classification || softmax Regression || Multi-Lable Classification
06:10 Machine Learning || Advanced Optimization || Adam algorithm
14:13 Machine Learning || Machine Learning Diagnostic || Evaluating The Model
12:17 Machine Learning || Model Selection
10:24 Machine Learning || Bias and Variance
08:14 Machine Learning || Regularization with Bias and Variance
16:00 Machine Learning || A Baseline Level of Performance || Learning Curves
12:43 Machine Learning || Improving The Learning Algorithm
08:21 Machine Learning || Introduction to Decision Trees
11:23 Machine Learning || Decision Tree Learning Process
17:53 Machine Learning || Decision Tree || Measuring Purity || Entropy || Information Gain
08:08 Machine Learning || Building a Decision Tree Model
05:58 #38 Machine Learning || Decision Tree || Using one hot encoding of categorical features
12:28 #39 Machine Learning || Decision Tree || Continuous Valued Features
09:11 #40 Machine Learning || Decision Tree || Regression Trees
15:09 #41 Machine Learning || Decision Tree || Sampling with replacement || Random Forest Algo. || XGBoost
03:01 #42 Machine Learning || Decision Trees vs Neural Networks
11:09 #43 Unsupervised Learning || Clustering || K-means Intuition
10:08 #44 Unsupervised Learning || Anomaly Detection || Finding Unusual Events
07:37 #45 Unsupervised Learning || Principle Component Analysis PCA
07:52 #46 Machine Learning || Introduction to The Reinforcement Learning
42:49 الأساسيات النظرية لتعلم الآلة كاملة في فيديو واحد || Machine Learning Complete Course