Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI | December 2021
- Learned best practices for using TensorFlow, and how to use convolutions to improve a neural network
- Built a basic neural network in TensorFlow
- Trained a neural network for a computer vision application
Machine Learning Certificate
Stanford University | December 2021
- Data mining and statistical pattern recognition.
- Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks), unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning), and best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
- Leaner regression, Logistic Regression, Neural Network, SVMs
- K-means, PCA, Anomaly Detection
- Conducted numerous case studies (MATLAB) and applications developing my skills to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, and database mining.
MSc Advanced Computer Science
Keele University, Staffordshire | December 2019
- Achieved a scholarship worth £1500 and fee-waiver.
- Completed a fast-track programming and systems design course through advanced data analysis and the use of private cloud hardware. I excelled in many techniques, including manipulating large amounts of data, designing and building large applications, leveraging and provisioning cloud services and developing autonomous systems.
- Developed the robust skills needed to become a technology consultant by applying my learning to real-world problems with real clients, using my analysis and design skills.
- Developed applications to control intelligent systems in a distributed and collaborative context using Java, including the programming of robots or intelligent home appliances.
- Gained knowledge of database operations and a variety of tools and statistical techniques to make sense of the exponential growth of big data. I learn to understand big data issues, advanced analytics and statistical modelling techniques and evaluate their applicability for different types of problems.
- Developed a good understanding of Python, R(dplyr and sqldf) with algorithms, data structures, data storage and manipulation and user interfaces.
- Successfully completed my dissertation “Time-series neural network controller for prostheses for amputee patients with upper limb impairments”, conducting analysis with MATLAB.
- Achieved a Merit award for my degree.
bachelor's Degree in Mathematics
Karadeniz Technical University, Turkey | January 2016
- Pure Mathematics, considered comparable to British Bachelor (Honours) degree standard by UK-NARIC