Courses

This section outlines all the courses I have taken during my Computer Science Postgraduate Studies at Istanbul Technical University, and online personal courses I enrolled in to fortify my knowledge in diverse technological domains.

Graduate Courses.

1. Probability and Stochastic Processes
2. Image Analysis
3. Discrete Mathematics
4. Advanced Topics in Computer Vision
5. Data Science
6. Optimization Methods in Informatics.

MOOC Courses

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Machine Learning | Standford University Online Coursera

Skills Gained: Logistic Regression, Artificial Neural Network, Machine Learning Algorithms.

Syllabus:

• Week 1: Linear Regression with One Variable, Linear Algebra Review
• Week 2: Linear Regression with Multiple Variables , Matlab/Octave Tutorial
• Week 3: Logistic Regression, Regularization
• Week 4: Neural Networks: Representation
• Week 5: Neural Networks: Learning.
• Week 6: Advice for Applying Machine Learning, Machine Learning System Design
• Week 7:Support Vector Machines
• Week 8: Unsupervised Learning, Dimensionality Reduction
• Week 9: Anomaly Detection, Recommender Systems
• Week 10: Large Scale Machine Learning
• Week 11: Application Example: Photo OCR

Machine Learning Certificate

Check out my article summarizing the entire course in just 25 minutes

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Deep Learning Specialization | Deeplearning.ai

Tools: Jupyter Notebook , Python, Tensorflow

Skill Gained: Tensorflow, Convolutional Neural Network, Artificial Neural Network, Deep Learning ,Backpropagation,Python Programming, Hyperparameter, Hyperparameter Optimization, Machine Learning, Inductive Transfer, Multi-Task Learning, Facial Recognition System

General Specialization Outline:

Course 1: Deep Learning and Neural Networks

Syllabus:

• Week 1: Introduction to Deep Learning
• Week 2: Neural Networks Basics
• Week 3: Shallow Neural Networks
• Week 4: Deep Neural Networks

Deep Learning and Neural Network Course Certificate

Course 2: Improving Deep Neural Networks: Hyperparameters tuning, Regularization and Optimization

Syllabus:

• Week 1: Practical aspects Deep Learning
• Week 2: Optimization algorithms
• Week 3: Hyperparameter tuning, Batch Normalization and Programming Frameworks

Improving Deep Neural Networks Course Certificate

Course 3: Structuring Machine Learning Projects.

Syllabus:

• Week 1: Machine Learning Strategy - Part 1
• Week 2: Machine Learning Strategy - Part 2

Structuring Machine Learning Projects Course Certificate (- Currently Enrolled)

Course 4: Convolutional Neural Networks

Syllabus:

• Week 1: Foundations of Convolutional Neural Networks
• Week 2: Deep convolutional models: case studies
• Week 3: Object detection
• Week 4: Special applications: Face recognition & Neural style transfer

Convolutional Neural Networks Course Certificate (- Incomplete)

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AWS Machine Learning Foundations Course

Syllabus:

• Software Engineering Practices Part 1 and 2
• Introduction to Object-Oriented Programming
• Machine Learning with AWS DeepComposer
• Diving Deeper into Machine Learning

AWS Machine Learning Foundation Course Certificate (- Currently Enrolled)

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Introduction to Computer Science and Programming in Python | MIT OpenCourseware

Syllabus:

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AWS Machine Learning Foundations Course

Syllabus:

• Software Engineering Practices Part 1 and 2
• Introduction to Object-Oriented Programming
• Machine Learning with AWS DeepComposer
• Diving Deeper into Machine Learning

AWS Machine Learning Foundation Course Certificate (- Currently Enrolled)