Chevron Left
返回到 Launching into Machine Learning

学生对 Google 云端平台 提供的 Launching into Machine Learning 的评价和反馈

4.6
2,798 个评分
322 个审阅

课程概述

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...

热门审阅

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.

筛选依据:

26 - Launching into Machine Learning 的 50 个评论(共 320 个)

创建者 Patrick M A

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.

创建者 samuel v

Aug 05, 2018

First module had very, very difficult material that was hard to grasp.

创建者 Prasant S

Aug 06, 2018

Thanku google for this course.

创建者 SANJAY K

Aug 12, 2018

Learning tips and tricks for practical machine learning problems.

创建者 Zakir U S

Aug 10, 2018

Worth Learning..

创建者 Joanne F

Aug 11, 2018

Great course. Excellent examples.

创建者 Santanu B

Aug 14, 2018

Excellent points discussed.

创建者 NAVEEN K

Jul 22, 2018

User friendly

创建者 Enrico A

Sep 01, 2018

This course builds on the previous one. Although use is still made of Google cloud, the course becomes more interesting, since the teachers provide their practical insight in the preparation of data for machine learning without focusing too much on Google. The history of machine learning is very interesting and the labs very useful in understanding the main pitfalls associated with the preprocessing step.

创建者 Lovi R G

Sep 03, 2018

Well designed and evenly delivered

创建者 Ruaan V

Sep 01, 2018

really good intro in ML worl

创建者 Bello G

Sep 04, 2018

Great course!! Learnt alot about neural networks and tensor flow playground

创建者 Benjamin B

Sep 05, 2018

Good course with a nice balance between general overview and the more granular aspects of ML. Looking forward to the next one in the series.

创建者 pravin b

Sep 08, 2018

A good introduction to the process. Well structured. In particular I liked the section on loss functions.

创建者 KUN N

Oct 12, 2018

Lab is well designed

创建者 Marcelo f

Oct 20, 2018

Leads you through the right path to learn ML

创建者 Yusuf T T

Sep 13, 2018

Nice course. Starting from basics showing concepts clearly. I really liked it.

创建者 Jay M

Aug 20, 2018

Overall Course was awesome

创建者 Mikkel B

Aug 19, 2018

Great overview of ML essentials

创建者 Harold L M M

Sep 15, 2018

A very good introduction to ML and to important tools to use on the creating and tuning and optimization of ML models.

Thank you.

创建者 Liang-Yao W

Sep 14, 2018

Fluent flow of introduction using examples. Gives an overview of the ML process concepts and tips. Detailed concepts are only mentioned quickly, so to fully benefit from the course would probably require some prior experience in ML. Valuable insights and summary from experienced ML engineer are provided in this course.

创建者 Devendra S

Sep 20, 2018

Very nice intro to ML model evolution.

创建者 ARIJIT P

Sep 22, 2018

very good

创建者 Leon W

Sep 23, 2018

The course is practical and thought-provoking.

创建者 Joydeep G

Sep 25, 2018

Very good.