Imran Kocabiyik Personal Website: Art and Data Science


Device-based Models with TensorFlow Lite

June 20, 2020

Running machine learning models in mobile applications, reparing models for lower-powered, battery-operated devices, then execute models on Android & iOS platforms and microcontrollers.

Browser-based Models with TensorFlow.js

June 17, 2020

Techniques for building deep-learning applications without needing a web server

TensorFlow in Practice

June 15, 2020

The tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework

TensorFlow Developer Certificate

June 6, 2020

Proficiency in using TensorFlow to solve deep learning and ML problems.

Deep Learning Specialialization

April 14, 2020

Neural Networks, CNN, RNN

Getting and Cleaning the Data

March 1, 2018

Getting the data from various sources, data cleaning and making it ready for visualization or modelling.

Reproduciple Research

March 1, 2018

RMarkdown, Reproducibility Principles

Developing Data Products

March 1, 2018

Creating Interactive Documents and Web applications

Exploratory Data Analysis

June 1, 2016

Descriptive Statistics, Plotting systems in R

Data Scientist's Toolbox

Feb. 1, 2016

Learning tools like Git, GitHub, R, RStudio, Markdown

Statistical Inference

Jan. 1, 2016

Statistical Inference for Data Science

R Programming

Oct. 1, 2015

Introduction to R Programming