Unsupervised Machine Learning Diploma | Arabic

Unlock the Power of Unsupervised Learning with Python: A Professional Journey into Unsupervised ML Algorithms

4.70 (26 reviews)
Udemy
platform
العربية
language
Other
category
instructor
Unsupervised Machine Learning Diploma | Arabic
4,079
students
11.5 hours
content
Sep 2023
last update
$19.99
regular price

What you will learn

Intro to Unsupervised Machine Learning

Linear and nonlinear Dimensionality Reduction

PCA | SVD | Random Projection

Principle Component Analysis (PCA)

Singular Value Decomposition (SVD)

Isomap | LLE | t-SNE

Isometric mapping (Isomap)

Locally Linear Embedding (LLE)

t-Distributed Stochastic Neighbor Embedding (t-SNE)

Anomaly Detection

Clustering

K-Means

K-Means for preprocessing

K-Means for semi-supervised Learning

K-means for Image Segmentation

DBSCAN

Hierarchical Clustering

Gaussian Mixture Models (GMM)

Group Segmentation

Description

Diploma in Unsupervised Machine Learning Using Python. It is a unique diploma that enriches Arabic content in the field of artificial intelligence. It is a comprehensive training course based on interaction, application, detailed explanation, and a thorough breakdown of algorithms from scratch to an excellent understanding of the algorithm. The course emphasizes practical application in coding and building a strong model used in real-life scenarios. Suitable for beginners, professionals, and anyone interested in data science, data analysis, machine learning, and artificial intelligence, including Data Analysts, Data Scientists, Machine Learning Engineers, and AI Engineers.

The diploma qualifies you to master unsupervised machine learning and data science not only through coding but also through a solid understanding of the mathematics related to algorithms, with detailed explanations from both theoretical and practical perspectives.

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What You Will Learn:

  • Introduction to the Course:

  • Introduction to Unsupervised Machine Learning

  • Understanding the fundamentals of unsupervised machine learning.

  • Linear and Nonlinear Dimensionality Reduction

  • Principal Component Analysis (PCA)

  • Incremental Principal Component Analysis (IPCA)

  • Kernel Principal Component Analysis (Kernel PCA)

  • Singular Value Decomposition (SVD)

  • Gaussian & Sparse Random Projection

  • Isomap Algorithm

  • Locally Linear Embedding (LLE)

  • t-SNE Algorithm

  • Practical Project on Anomaly Detection Using Dimensionality Reduction Methods

  • Introduction to Clustering

  • K-Means Algorithm

  • Use Cases of K-Means

  • Image Segmentation using K-Means

  • Data Preprocessing using K-Means

  • Semi-supervised ML using K-Means

  • DBSCAN Algorithm

  • Hierarchical Clustering Algorithm

  • Gaussian Mixture Models (GMM) Algorithm

  • Practical Project on Group Segmentation Using Different Techniques of Clustering

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Whether you're an AI enthusiast, developer, or data scientist, this course will empower you with the knowledge and practical skills necessary to excel in unsupervised Machine Learning and its applications in real life of AI.

Join us now and embark on an enriching learning journey that will set you on the path to mastering Unsupervised Machine Learning for cutting-edge AI projects.

Content

Introduction to Course

Introduction to Course

Intro to Unsupervised ML | مقدمة لتعلم الآلة بدون إشراف

Intro to Unsupervised ML | مقدمة لتعلم الآلة بدون إشراف

Linear Algebra for Machine Learning l الجبر الخطي

Linear Algebra - part 1
Linear Algebra - part 2
Linear Algebra - part 3

Dimensionality Reduction | تخفيض الأبعاد

Dimensionality Reduction Approaches
Principle Component Analysis (PCA)
Singular Value Decomposition (SVD)
Must be watched after SVD
Random Projection
Manifold (nonlinear) Learning

Anomaly Detection | practical project

Anomaly Detection - part 1
Anomaly Detection - part 2

Clustering | التجميع

Intro to Clustering

K-Means Algorithm

K-Means | theory
K-Means | practice
K-Means for Image Segmentation
K-Means for Preprocessing
K-Means for Semi-Supervised Learning
Limits of K-Means

DBSCAN Algorithm

DBSCAN l theory
DBSCAN l practice

Hierarchical Clustering

Hierarchical Clustering l theory
Hierarchical Clustering l practice

Gaussian Mixture Models (GMM)

GMM | theory
GMM l Example
GMM | practice

Reviews

Yehia
September 13, 2022
أظن أن بعض ما قُدِّم في الفيديو لم يكن وقته أو أنك استفضت فيه، لا أدري، ربما كان عليك أن تختصر لأنها مقدمة.
Mohamed
August 10, 2022
one of the most outstanding courses in unsupervised machine learning I recommend it to anyone who wants to learn unsupervised machine learning in depth
Mahmoud
August 3, 2022
الكورس حقيقي مميز ومناسب لجميع المستويات سواء المتخصصين في علوم البيانات و الذكاء الاصطناعي إضافة للمشاريع والتطبيق العملي الذي يساعد على ترسيخ المعلومة والمحاضر له أسلوب مميز ويساعد على الفهم واشكرك جدا مهند محمد عجور

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4800268
udemy ID
7/26/2022
course created date
8/3/2022
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