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.
이 강좌는 From Data to Insights with Google Cloud Platform 전문 분야의 일부입니다.
Applying Machine Learning to your Data with GCP
제공자:
About this Course
최근 조회 12,776회
학습자 경력 결과
67%
이 강좌를 수료한 후 새로운 경력 시작하기
55%
이 강좌를 통해 확실한 경력상 이점 얻기
12%
급여 인상 또는 승진하기
귀하가 습득할 기술
BigqueryMachine LearningGoogle Cloud PlatformCloud Computing
학습자 경력 결과
67%
이 강좌를 수료한 후 새로운 경력 시작하기
55%
이 강좌를 통해 확실한 경력상 이점 얻기
12%
급여 인상 또는 승진하기
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 4개 강좌 중 4번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 8시간 필요
권장: 1 week of study, 5-7 hours/week
영어
자막: 영어, 일본어
제공자:
Google 클라우드
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 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.
완료하는 데 6분 필요
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.
완료하는 데 21분 필요
6개 동영상 (총 21분)
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.
완료하는 데 2시간 필요
9개 동영상 (총 52분)
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
완료하는 데 2시간 필요
Creating ML Datasets in BigQuery
완료하는 데 2시간 필요
8개 동영상 (총 35분)
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.
완료하는 데 4시간 필요
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.
완료하는 데 3분 필요
1개 동영상 (총 3분)
1개의 동영상
검토
4.7
APPLYING MACHINE LEARNING TO YOUR DATA WITH GCP의 최상위 리뷰
MM 제공Mar 11, 2020
This course is pretty interesting. The most interesting of the whole specialization. The labs are cool, but it's all copy & paste. It'd have been nice to have to come up with some solutions myself.
MB 제공Jan 21, 2019
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
LL 제공Aug 10, 2018
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.
AT 제공Aug 19, 2019
Loved Evan Jones!! He is an excellent teacher he is so relaxed, well spoken and he can relay the info easily. Hope he has more courses in future!! <3
SM 제공Apr 9, 2018
This was a great course in going beyond the lecture to applying the concepts of creating, training, testing and deploying a machine learning model
HM 제공Feb 17, 2018
This was a great course on Machine Learning with BigQuery and Cloud Datalab. The exploration was very good for starters.\n\nThank you.
CC 제공Sep 13, 2018
It would be nice if the labs had additional/different code then the one explained over the videos.
DN 제공Feb 15, 2020
Fantastic class taught by an exceptionally passionate and an incredible subject matter expert!
SK 제공Aug 25, 2019
Excellent way to introduce to Google Big Query and Machine Learning Applications!
AK 제공Sep 3, 2019
Good Course to Understand the basics of Big query and running ML using Big query
CC 제공Feb 28, 2018
Good introduction to ml for me given i had no previous knowledge on the basics.
MI 제공Oct 19, 2018
Really amazing instructor and very helpful course, highly recommended.
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 <<<
자주 묻는 질문
등록 전에 강좌를 미리 볼 수 있나요?
예. 등록하기 전에 첫 번째 비디오를 미리 보고 강의 계획을 검토할 수 있습니다. 미리 보기에 포함되지 않은 콘텐츠를 이용하려면 강좌를 구매해야 합니다.
강의 및 과제를 언제 이용할 수 있게 되나요?
세션 시작일 전에 강좌에 등록하면 해당 강좌의 모든 강의 비디오 및 읽기 자료에 접근할 수 있습니다. 수업이 시작되면 과제를 제출할 수 있습니다.
등록하면 무엇을 이용할 수 있나요?
등록 후 세션이 시작되면 읽기 자료 항목 및 강좌 토론 포럼을 포함하여 모든 비디오와 기타 리소스를 이용할 수 있습니다. 연습 평가를 보고 제출하며 필요한 성적 평가 과제를 완료하여 성적을 받고 강좌 수료증을 취득할 수 있습니다.
강좌 수료증을 언제 받게 되나요?
강좌를 성공적으로 수료하면 전자 강좌 수료증이 성취도 페이지에 추가됩니다. 해당 페이지에서 강좌 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다.
이 강좌를 청강할 수 없는 이유는 무엇인가요?
이 강좌는 현재 Coursera에서 수업료를 결제했거나 재정 지원(해당하는 경우)을 받은 학습자만 이용할 수 있는 강좌입니다.
환불 규정은 어떻게 되나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.