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Avis et commentaires pour l'étudiant pour Launching into Machine Learning par Google Cloud

4.6
2,741 notes
317 avis

À propos du cours

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...

Meilleurs avis

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 :)

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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151 - 175 sur 316 Examens pour Launching into Machine Learning

par giwoo k

Apr 28, 2019

지reat!

par 지하린

Apr 28, 2019

Great

par 엄윤식

Apr 28, 2019

good

par Kim H G

Apr 28, 2019

I was very satisfied.

par Dong H S

Apr 14, 2019

I can start to handle some part of ML after listening this course.

Thank you.

par 이동규

Apr 14, 2019

good

par shin, d

Apr 29, 2019

good

par 최태원

Apr 29, 2019

Thank you for google :)

par Fathima j

May 11, 2019

wonderful

par Ramees A

May 12, 2019

nice

par Paripol T

May 13, 2019

Very nice to understand ML Concept

par Tan C M

Mar 24, 2019

Mainly covering the principles of data selection and bucketing for training, validation and test sets.

par Kiana T

Apr 09, 2019

My favourite course in the specialisation. I think it's a great idea to use historic time-frame to explain the advances in ML and why there is so much hype around deep learning.

par Mohammad S

Apr 10, 2019

It was great.......... Thanks Google :)

par Akash G

Apr 10, 2019

knowledgeable

par 오승주

Apr 11, 2019

최고입니다

par Bill F

Apr 12, 2019

This course provides a solid foundation for data science.

par Feng N

May 14, 2019

Good tutorial with insights to real implementation of ML.

par Nayanajith P

May 26, 2019

It's Nice

par William A R B

Jun 09, 2019

Muy bueno para aprender lo básico del Machine Learning para antes de llegar a programar

par sheikzaidh

Jun 30, 2019

good exprience with gcp

par Nhan T N

Jun 30, 2019

Nice course for first imagination of TensorFlow and how to process dataset. Thanks!

par Emily T

Jul 05, 2019

Excellent course for people who are completely new to ML, GCP, and TF.

par Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand