Saeed Aghabozorgi

Saeed Aghabozorgi, PhD is a Sr. Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.

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Aprendizaje Automático con Python (Coursera)

Nov 29th 2021
Aprendizaje Automático con Python (Coursera)
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Este curso se sumerge en los conceptos básicos del aprendizaje automático mediante un lenguaje de programación accesible y conocido, Python. En este curso, repasaremos dos componentes principales. Primero, aprenderá sobre el propósito del aprendizaje automático y dónde se aplica al mundo real.
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Machine Learning with Python (Coursera)

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will [...]
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Machine Learning with Python: A Practical Introduction (edX)

Self Paced
Machine Learning with Python: A Practical Introduction (edX)
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Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
6
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Deep Learning with Tensorflow (edX)

Self Paced
Deep Learning with Tensorflow (edX)
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Much of the world's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems. Traditional neural networks rely on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning [...]
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Using GPUs to Scale and Speed-up Deep Learning (edX)

Self Paced
Using GPUs to Scale and Speed-up Deep Learning (edX)
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Training complex deep learning models with large datasets takes a long time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning. Training a complex deep learning model with a very large dataset can take hours, days and occasionally [...]
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