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.
提供方
Google 云端平台課程信息
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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）
字幕：英語（English）
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）
字幕：英語（English）
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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 1 分鐘
Introduction
This module provides an overview of the course and its objectives.
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
完成時間為 3 小時
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.
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
完成時間為 3 小時
Training AutoML Models Using Vertex AI
In this module, we will introduce 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
完成時間為 3 小時
BigQuery Machine Learning: Develop ML Models Where Your Data Lives
In this module, we will introduce BigQuery ML and its capabilities.
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
完成時間為 1 小時
Optimization
In this module we will walk you through how to optimize your ML models.
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
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
This module is a summary of the Launching into Machine Learning course
完成時間為 2 小時
4 個閱讀材料
審閱
- 5 stars69.33%
- 4 stars23.79%
- 3 stars5%
- 2 stars1.22%
- 1 star0.64%
來自LAUNCHING INTO MACHINE LEARNING的熱門評論
由 SK 提供2019年5月5日
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.
由 SS 提供2020年4月8日
I highly recommend this course to learners who need an exposure on handling huge datasets using google big query SQL and data splitting strategies.
由 AM 提供2018年7月13日
Great presenter. High energy engaging. The material is more difficult and to develop intuition of why the sampling needs to result in constant RMSE didn't come across.
由 PT 提供2018年12月1日
This is an awesome module. It will open up so much inside story of ML process which is core of the topic with such a simplicity. It greatly increases my interest into this topic and this course :)
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