الذكاء الاصطناعي

محتويات دورة الذكاء الاصطناعي 

Artificial Intelligence and Machine Learning

دورة الذكاء الاصطناعي وتعلم الآلة باستخدام لغة البرمجة بايثون هي من لغات وتطبيقات البرمجة الحديثة للحاسوب، ويتم فيها تعليم الطالب طرق البرمجة لبناء برامج وأنظمة ذكية باستخدام الحاسوب، وهي تشمل المواضيع الأساسية التالية:

Supervised Learning in python

Classification

Regression

Fine-tuning your model

Preprocessing and pipelines

Unsupervised Learning in python

Clustering for dataset exploration

Visualization with hierarchical clustering and t-SNE

Decorrelating your data and dimension reduction

Discovering interpretable features

Linear Classifiers in Python

Applying logistic regression and SVM

Loss functions

Logistic regression

Support Vector Machines

Machine Learning with Tree-Based Models in Python

Classification and Regression Trees

The Bias-Variance Tradeoff

Bagging and Random Forests

Boosting

Model Tuning

Preprocessing for Machine Learning in Python

Introduction to Data Preprocessing

Standardizing Data

Feature Engineering

Selecting features for modeling

Putting it all together

Model Validation in Python

Basic Modeling in scikit-learn

Validation Basics

Cross Validation

Selecting the best model with Hyperparameter tuning

Cluster Analysis in Python

Introduction to Clustering

Hierarchical Clustering

K-Means Clustering

Clustering in Real World