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Triplet Loss
42:26

Triplet Loss

Machine Learning Intro
31:48

Machine Learning Intro

Tutorial Jupyter / Google Colab
18:47

Tutorial Jupyter / Google Colab

Tutorial Python
15:26

Tutorial Python

Tutorial Numpy
11:39

Tutorial Numpy

On Numpy indexing
07:33

On Numpy indexing

Linear regression in numpy
46:11

Linear regression in numpy

Problem Statement in ML
10:16

Problem Statement in ML

Tutorial Scikit learn
11:52

Tutorial Scikit learn

Mihnea Paul - Developer at Haufe

This course has helped me understand the concepts of machine learning, concepts that seemed impossible to grasp alone. Everybody interested in ML will benefit greatly from this course.

Come back. For free. Forever.

Machine Learning is hard. This is why, once you enrol you can come back anytime you like on future sessions. Come back if you feel you need to attend lessons that you've missed or parts you didn't understand properly. This is for free, forever. 

Gallery

Meet our Speakers

CLungu

Cristian Lungu

Senior ML Consultant / Trainer

A prominent leader in the ML field, this Start-Up Founder is always seeking to break new ground and share his knowledge.

Past Sponsors

MetroSystems
connatix
tecknoworks
SDL @ RWS Group
Yonder
Micro Focus

Why join a machine learning course?

Connect. Learn. Grow.

The first Cluj-Napoca ML course is finally here. Take advantage of forward-thinking keynote speakers, networking with influential attendees, and much more. For more questions and answers, please refer to our FAQ.

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