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Launching into Machine Learning, Google Cloud

4.6
2,218 calificaciones
265 revisiones

Acerca de este Curso

Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation. Course Objectives: Identify why deep learning is currently popular Optimize and evaluate models using loss functions and performance metrics Mitigate common problems that arise in machine learning Create repeatable and scalable training, evaluation, and test datasets...

Principales revisiones

por PT

Dec 02, 2018

This is an awesome module. It will open up so much inside story of ML process which is core of the topic with such a simplicity. It greatly increases my interest into this topic and this course :)

por PA

Aug 04, 2018

Good course, covering all the basics about machine learning and most importantly, everything that surrounds an ml project and you need to take into account to make your ml project successful.

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264 revisiones

por Feng Ni

May 14, 2019

Good tutorial with insights to real implementation of ML.

por Paripol Toopiroh

May 13, 2019

Very nice to understand ML Concept

por Ramees AR

May 12, 2019

nice

por Fathima jabbar

May 11, 2019

wonderful

por Minjae Kim

May 08, 2019

It was so easy than I thought. I would like to recommend to my friends.

por JoowonLee

May 08, 2019

good but it was so hard...

por Gary Thomas

May 06, 2019

Amazing Course, among the top 3 Best available.

por Hunter

May 06, 2019

This course is very helpful to understand the machine learning concepts of various modals, splitting of the data and even training the model for benchmark.

por Rahul Kumar

May 03, 2019

Phew ... that take a time to sink in but a good approach from google : )

por 지정수

May 02, 2019

bu