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.
oferecido por
Google CloudInformações sobre o curso
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Prazos flexíveis
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 17 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
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
Habilidades que você terá
- Tensorflow
- Bigquery
- Machine Learning
- Data Cleansing
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 17 horas para completar
Inglês
Legendas: Inglês
oferecido por
Google Cloud
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.
Programa - O que você aprenderá com este curso
1 minuto para concluir
Introduction
This module provides an overview of the course and its objectives.
1 minuto para concluir
1 vídeo (Total 1 mín.)
4 horas para concluir
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.
4 horas para concluir
9 vídeos (Total 57 mín.), 1 leitura, 3 testes
3 horas para concluir
Machine Learning in Practice
In this module, we will introduce some of the main types of machine learning so that you can accelerate your growth as an ML practitioner.
3 horas para concluir
6 vídeos (Total 45 mín.), 1 leitura, 2 testes
3 horas para concluir
Training AutoML Models Using Vertex AI
In this module, we will introduce training AutoML Models using Vertex AI.
3 horas para concluir
7 vídeos (Total 38 mín.), 1 leitura, 2 testes
3 horas para concluir
BigQuery Machine Learning: Develop ML Models Where Your Data Lives
In this module, we will introduce BigQuery ML and its capabilities.
3 horas para concluir
8 vídeos (Total 30 mín.), 1 leitura, 3 testes
1 hora para concluir
Optimization
In this module we will walk you through how to optimize your ML models.
1 hora para concluir
12 vídeos (Total 58 mín.), 1 leitura, 1 teste
1 hora para concluir
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.
1 hora para concluir
5 vídeos (Total 28 mín.), 1 leitura, 1 teste
2 horas para concluir
Summary
This module is a summary of the Launching into Machine Learning course
2 horas para concluir
4 leituras
Avaliações
- 5 stars69,33%
- 4 stars23,80%
- 3 stars5,01%
- 2 stars1,19%
- 1 star0,64%
Principais avaliações do LAUNCHING INTO MACHINE LEARNING
por CR12 de ago de 2021
Interesting course, and the technical details during week 3 and 4 were highly appreicated. The labs could have been a bit better put together, but all round happy with this course!
por AK25 de ago de 2018
Very good course for beginners! -1 star because I find labs to be less informational and practical and course to be more theoretical that practical!
por KT8 de abr de 2019
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.
por AR16 de ago de 2019
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.
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