In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization: • Exploring and Preparing your Data • Storing and Visualizing your Data • Architecture and Performance >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
이 강좌는 From Data to Insights with Google Cloud Platform 전문 분야의 일부입니다.
Applying Machine Learning to your Data with GCP
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About this Course
최근 조회 14,137회
Course을(를) 수강하는 학습자
- Data Scientists
- Data Engineers
- Data Analysts
- Technical Solutions Engineers
- Account Managers
귀하가 습득할 기술
BigqueryMachine LearningGoogle Cloud PlatformCloud Computing
강의 계획 - 이 강좌에서 배울 내용
주
1완료하는 데 6분 필요
Introduction
Welcome to the last course in the Data Insights specialization. In this module we will overview the course topics and the labs platform you will be using.
2개 동영상 (총 6분)
완료하는 데 21분 필요
Introduction to Machine Learning
In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels.
6개 동영상 (총 21분), 1 quiz
6개의 동영상
Demo: Google Photos2m
What is deep learning?41
ML Applications for Business3m
ML Terms: Instances, Features, Labels3m
The Spectrum of ML Tools3m
1개 연습문제
Introduction to Machine Learning
완료하는 데 2시간 필요
Pre-trained ML APIs
In this module we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.
9개 동영상 (총 52분), 2 quizzes
9개의 동영상
Demo: Cloud Translate and Vision APIs5m
Demo: Natural Language Processing API3m
Collaborative Notebooks in the Cloud5m
Demo: Cloud Datalab with BigQuery and Google Analytics7m
Accessing BigQuery datasets from Cloud Datalab15m
Visualizing Datasets in Charts1m
Lab Overview28
Lab Walkthrough10m
1개 연습문제
Notebooks in the Cloud10m
주
2완료하는 데 2시간 필요
Creating ML Datasets in BigQuery
8개 동영상 (총 35분), 2 quizzes
8개의 동영상
Choosing good features8m
Exploring and Preprocessing Data1m
Demo: Exploring and Preprocessing Data6m
Other Tools for Creating Data Pipelines50
Knowing the Unknowable4m
Creating Repeatable Dataset Splits2m
Lab Solution: Creating Repeatable Dataset Splits9m
1개 연습문제
Intro to Machine Learning10m
완료하는 데 4시간 필요
Creating ML Models in BigQuery
In this module, you will learn how to create machine learning models directly inside of BigQuery. You will learn the new syntax and work through the phases of building, evaluating, and testing an ML model.
6개 동영상 (총 54분), 1 reading, 3 quizzes
6개의 동영상
Phases of Model Building2m
Demo: Predicting Taxi Cab Fare10m
Demo: Creating a Classification Model12m
Lab Intro: Predicting Visitor Return Purchases with BigQuery2m
Lab Solution: Predicting Visitor Return Purchases in BigQuery20m
1개의 읽기 자료
BigQuery ML Resources10m
1개 연습문제
BigQuery ML
완료하는 데 3분 필요
End of Course Recap
You've made it to the end! Let's review the lessons learned in the course and what resources are available for continued learning.
1개 동영상 (총 3분)
1개의 동영상
4.7
35개의 리뷰67%
이 강좌를 수료한 후 새로운 경력 시작하기
60%
이 강좌를 통해 확실한 경력상 이점 얻기
14%
급여 인상 또는 승진하기
Applying Machine Learning to your Data with GCP의 최상위 리뷰
Enjoyed. I would add more in-depth ML part for BigQuery and different scenario. it also good to explain metric how and how to choose right features etc
The instructor Evan is super great to rolling out machine learning in an easy /understandable way. hope he can tech more in-depth of machine learning.
Google 클라우드 정보
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.
From Data to Insights with Google Cloud Platform 전문 분야 정보
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!
This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.
This specialization is intended for the following participants:
● Data Analysts, Business Analysts, Business Intelligence professionals
● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform
To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.
>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
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