Python AI – All you need to know about Machine Learning and Deep Learning

MoscowPython

Alejandro Saucedo (Founder @ Exponential Technologies) and Donald Whyte (Software Engineer @ Engineers Gate) @ Moscow Python Conf 2017
“There is a lot of hype about deep learning and everything AI, however behind all the noise there is a set of solid concepts and algorithms that have massive potential if used in the right way and with the right data. In this talk we will provide you with the key concepts you will need to build a solid understanding around the core of Machine Learning. We will also cover key Deep Learning concepts and examples using Tensorflow that will help you understand the real potential of Deep Learning in practical applications. This talk will provide a theoretical overview that will then be put in practice in the Deep Learning workshop”.
Slides: https://conf.python.ru/python-ai-all-you-need-know-about-machine-learning-and-deep-learning/

Note: On 7.37 – 7.47 Alejandro says: “The hard part is how do we learn the hyperparameters of the function itself m and c, that is what ML is about. Learning these weights themselves”. He actually meant that the model learns the weights and biases – the hyperparameters are static (number/size of layers, etc).

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