4.6
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4,223 個評分

Google Cloud Training

43,477 人已註冊

提供方

Google 云端平台

課程信息

27,620 次近期查看

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

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完成後獲得證書

100% 在線

立即開始，按照自己的計劃學習。

初級

完成時間大約為17 小時

英語（English）

對員工進行熱門技能培訓能否為您的公司帶來益處？

體驗 Coursera 企業版

您將學到的內容有

Describe how to improve data quality and perform exploratory data analysis
Build and train AutoML Models using Vertex AI and BigQuery ML
Optimize and evaluate models using loss functions and performance metrics
Create repeatable and scalable training, evaluation, and test datasets

您將獲得的技能

Tensorflow
Bigquery
Machine Learning
Data Cleansing

可靈活調整截止日期

根據您的日程表重置截止日期。

可分享的證書

完成後獲得證書

100% 在線

立即開始，按照自己的計劃學習。

初級

完成時間大約為17 小時

英語（English）

對員工進行熱門技能培訓能否為您的公司帶來益處？

體驗 Coursera 企業版

授課教師

授課教師評分

4.7/5 （258 個評分）

Google Cloud Training

1,884,548 個學生

1,023 門課程

提供方

Google 云端平台

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

了解頂級公司的員工如何掌握熱門技能

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授課大綱 - 您將從這門課程中學到什麼

內容評分90%（3,819 個評分）

週

週 1

完成時間為 1 分鐘

Introduction

完成時間為 1 分鐘

1 個視頻（總計 1 分鐘）

完成時間為 4 小時

Get to Know Your Data: Improve Data through Exploratory Data Analysis

In this module, we look at how to improve the quality of our data and how to explore our data by performing exploratory data analysis. We look at the importance of tidy data in Machine Learning and show how it impacts data quality. For example, missing values can skew our results. You will also learn the importance of exploring your data. Once we have the data tidy, you will then perform exploratory data analysis on the dataset.

完成時間為 4 小時

9 個視頻（總計 57 分鐘）, 1 個閱讀材料, 3 個測驗

9 個視頻

Introduction39

Improve Data Quality13分鐘

Getting Started with Google Cloud and Qwiklabs4分鐘

Lab intro: Improve the quality of your data1分鐘

Lab Demo: Improve the quality of your data22分鐘

What is exploratory data analysis4分鐘

How is EDA used in machine learning4分鐘

Data analysis and visualization3分鐘

Lab intro: Explore the data using Python and BigQuery46

1 個閱讀材料

Resources: Get to know your data: Improve data through Exploratory Data Analysis10分鐘

1 個練習

Get to know your data: Improve data through Exploratory Data Analysis10分鐘

完成時間為 3 小時

Machine Learning in Practice

完成時間為 3 小時

6 個視頻（總計 45 分鐘）, 1 個閱讀材料, 2 個測驗

週

週 2

完成時間為 3 小時

Training AutoML Models Using Vertex AI

完成時間為 3 小時

7 個視頻（總計 38 分鐘）, 1 個閱讀材料, 2 個測驗

7 個視頻

Introduction23

Machine learning vs. deep learning7分鐘

What is automated machine learning?1分鐘

AutoML regression model10分鐘

(Optional) Lab intro: Training an AutoML classification model (Structured data)28

(Optional) Lab Demo: Training an AutoML classification model (Structured data)7分鐘

Evaluate AutoML models10分鐘

1 個閱讀材料

Resources: Training AutoML Models Using Vertex AI10分鐘

1 個練習

Training AutoML Models Using Vertex AI18分鐘

完成時間為 3 小時

BigQuery Machine Learning: Develop ML Models Where Your Data Lives

完成時間為 3 小時

8 個視頻（總計 30 分鐘）, 1 個閱讀材料, 3 個測驗

8 個視頻

Introduction22

Training an ML model using BigQuery ML5分鐘

BigQuery Machine Learning supported models2分鐘

Lab intro: Using BigQuery ML to predict penguin weight (BigQuery ML & Explainable AI)29

Lab Demo: Using BigQuery ML to predict penguin weight (BigQuery ML & Explainable AI)11分鐘

BigQuery ML hyperparameter tuning3分鐘

(Optional) Lab intro: Using the BigQuery ML hyperparameter tuning to improve model performance28

How to build and deploy a recommendation system with BigQuery ML5分鐘

1 個閱讀材料

Resources: BigQuery Machine Learning: Develop ML Models Where Your Data Lives10分鐘

1 個練習

BigQuery Machine Learning: Develop ML Models Where Your Data Lives10分鐘

週

週 3

完成時間為 1 小時

Optimization

完成時間為 1 小時

12 個視頻（總計 58 分鐘）, 1 個閱讀材料, 1 個測驗

12 個視頻

Introduction26

Defining ML models4分鐘

Introducing the course dataset6分鐘

Introduction to loss functions6分鐘

Gradient descent5分鐘

Troubleshooting loss curves2分鐘

ML model pitfalls6分鐘

Lecture lab: Introducing the TensorFlow Playground6分鐘

Lecture lab: TensorFlow Playground - Advanced3分鐘

Lecture lab: Practicing with neural networks6分鐘

Performance metrics3分鐘

Confusion matrix5分鐘

1 個閱讀材料

Resources: Optimization10分鐘

1 個練習

Optimization10分鐘

完成時間為 1 小時

Generalization and Sampling

Now it’s time to answer a rather weird question: when is the most accurate ML model not the right one to pick? As we hinted at in the last module on Optimization -- simply because a model has a loss metric of 0 for your training dataset does not mean it will perform well on new data in the real world. You will learn how to create repeatable training, evaluation, and test datasets and establish performance benchmarks.

完成時間為 1 小時

5 個視頻（總計 28 分鐘）, 1 個閱讀材料, 1 個測驗

完成時間為 2 小時

Summary

完成時間為 2 小時

4 個閱讀材料

審閱

4.6

479 條評論

5 stars
69.41%
4 stars
23.72%
3 stars
5.01%
2 stars
1.20%
1 star
0.63%

來自LAUNCHING INTO MACHINE LEARNING的熱門評論

由 NK 提供2020年6月24日

Very informative and well-prepared course, the only downside is, other than quizzes, there is no user input involved. Highly recommended nonetheless.

由 FR 提供2019年4月7日

Tensorflow Playground is awesome to understand some of the theory of Deep Neural Nets !

Theory on creating/managing models was good too.

The labs with BigQuery were not that interesting too

由 KT 提供2019年4月8日

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.

由 OD 提供2020年5月30日

Amazing course. For a beginner like me, it was a shot in the arm. Excellent presentation very lively and engaging. Hope to see the instructor soon in a another course. Thanks so much. I learned a lot.

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