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.
제공자:
이 강좌에 대하여
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기배울 내용
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
귀하가 습득할 기술
- Tensorflow
- Bigquery
- Machine Learning
- Data Cleansing
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기제공자:
강의 계획표 - 이 강좌에서 배울 내용
Introduction
Get to Know Your Data: Improve Data through Exploratory Data Analysis
Machine Learning in Practice
Training AutoML Models Using Vertex AI
BigQuery Machine Learning: Develop ML Models Where Your Data Lives
Optimization
Generalization and Sampling
Summary
검토
- 5 stars69.42%
- 4 stars23.73%
- 3 stars4.99%
- 2 stars1.20%
- 1 star0.63%
LAUNCHING INTO MACHINE LEARNING의 최상위 리뷰
This course gave me a good overview of how to work with GCP for ML and also helped in covering a bit of knowledge gaps that I had when I learnt things on my own.
I got a whole idea on how to work on data from scratch. Model selection, generalization, splitting of data and performance metric were few things I learned from this course.
This course is very helpful to understand the machine learning concepts of various modals, splitting of the data and even training the model for benchmark.
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.
자주 묻는 질문
등록 전에 강좌를 미리 볼 수 있나요?
등록하면 무엇을 이용할 수 있나요?
강좌 수료증을 언제 받게 되나요?
이 강좌를 청강할 수 없는 이유는 무엇인가요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.