Data Sciences and Machine Learning have caught the attention of the global IT industry for some time now! Gradually, the skills required to collect data, analyze it, and model it to predict future trends are becoming a necessity to any successful company. In this TechTalk, we’ll present the basic concepts of Machine Learning alongside some simple -yet extremely powerful- tools to implement machine learning models.
Event Keywords: machine learning | python | scikit-learn | supervised learning | classification
➀ Intro to supervised learning
By Sinan Taifour - Senior Google Engineer & CTO of CashBasha.com (http://cashbasha.com/)
In this session, Sinan will introduce Supervised Learning, help you build an intuition about it, and walk you through an example with Python using scikit-learn. You'll see it is pretty straightforward, and you might find room to apply Supervised Learning in your current or next project!
➁ Machine Learning in Practice - Hussein Al-Natsheh
By Hussein Natsheh - Data Mining entrepreneur, scholar, and founder of Ciapple
This session will talk about how to define a problem as a machine learning one. What are the steps toward reaching a satisfying solution from data preparation, feature engineering, evaluating suitable algorithms until releasing the model and putting it in practice. We will present a case study and go through some algorithms mostly implemented in Python.