Erdal G. Profile

MENJELAJAH

5.0

(1 ulasan)

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E-mel berjaya disahkan.

$23 USD / jam

fethiye,

turkey

$23 USD / jam

Sekarang jam 8:16 PTG di sini

Menyertai Mei 6, 2021

0 Syor

Erdal G.

@erdalgenc

5.0

(1 ulasan)

1.5

100%

$23 USD / jam

fethiye,

turkey

$23 USD / jam

100%

Pekerjaan Disiapkan

100%

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N/A

Tepat Pada Masa

N/A

Kadar Upah Semula

PhD Candidate in Machine Learning

I am an AI enthusiast who holds a master’s degree in Electronics Engineering main Deep Learning in Computer Vision, (thesis title: Performance Enhancement of CNN+LSTM for Human Activity Recognition). Currently I am pursuing my PhD in Machine Learning for Digital Health Lab in University of Potsdam (Germany). I have completed a year of studying and lost my PhD funding due to Corona. Therefore I am looking for more opportunities. For my research, I am working on two projects parallelly one is classification of Chest X-ray Images as well as its radiology reports, and EEG Data analysis and its visualization.

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Tapis ulasan mengikut:

5.0

€50.00 EUR

Statistical Analysis, Deep Learning, Machine Learning. Financial Data, CSV Dataset is given

Erdal delivered the work much faster than i expected. He is eager to understand the core of the task and outmatched the expected result.He is well versed in the space of data science and forecasting. I'll work with him again.

Statistics

Machine Learning (ML)

Data Mining

Statistical Analysis

SPSS Statistics

Christian B.

@ChristianGer

•

3 tahun yang lalu

Pendidikan

Machine Learning for Digital Health - PhD

Universität Potsdam,

Germany

2020 - 2021

(1 tahun)

Computer Vision - Masters

Kyungsung University,

Korea, Republic of

2018 - 2020

(2 tahun)

Biomedical Engineering - Bachelor

Bahçesehir Üniversitesi,

Turkey

2013 - 2018

(5 tahun)

Kelayakan

British Council

2019

English proficiency exam

Penerbitan

HAR using inter-joint feature fusion with SVD

ICIC Express Letters, Part B: Applications

- Focused on human activity recognition and pose estimation. I have developed a new model to improve the performance of Human Activity Classification (mainly two datasets) by using Keras Tensorflow.