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返回到 The Nuts and Bolts of Machine Learning

学生对 Google 提供的 The Nuts and Bolts of Machine Learning 的评价和反馈

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575 个评分

课程概述

This is the sixth of eight courses in the Google Advanced Data Analytics Certificate. In this course, you’ll learn about machine learning, which uses algorithms and statistics to teach computer systems to discover patterns in data. Data professionals use machine learning to help analyze large amounts of data, solve complex problems, and make accurate predictions. You’ll focus on the two main types of machine learning: supervised and unsupervised. You'll learn how to apply different machine learning models to business problems and become familiar with specific models such as Naive Bayes, decision tree, random forest, and more. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Apply feature engineering techniques using Python -Construct a Naive Bayes model -Describe how unsupervised learning differs from supervised learning -Code a K-means algorithm in Python -Evaluate and optimize the results of K-means model -Explore decision tree models, how they work, and their advantages over other types of supervised machine learning -Characterize bagging in machine learning, specifically for random forest models -Distinguish boosting in machine learning, specifically for XGBoost models -Explain tuning model parameters and how they affect performance and evaluation metrics...

热门审阅

TP

Feb 6, 2024

I’m so grateful for the excellence, well crafted and clearly delivered career-oriented course you have offered.

CA

Jan 31, 2025

great explanation on random forest & ensembles. Now I know what random forest and boosting means

筛选依据：

51 - The Nuts and Bolts of Machine Learning 的 75 个评论（共 99 个）

创建者 PRACHI S

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Oct 25, 2023

A very informative course to learn

创建者 Ghulam h K

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Jan 4, 2024

Thanks for your amazing teaching

创建者 Michał Z

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Sep 7, 2023

I enjoyed this course very much!

创建者 Mahmoud M

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Oct 5, 2024

wonderful and comprehensive

创建者 Maths f A

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Dec 15, 2024

Really excellent course.

创建者 LUIS A D H

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Aug 13, 2025

i liked jupyter labs

创建者 omar m

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Mar 16, 2024

This was well taught

创建者 José L L X

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Jul 9, 2025

Much Interesting!

创建者 Aysheshim. A

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Dec 14, 2024

waw is so amazing

创建者 Garib H

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Mar 26, 2024

Great instructor!

创建者 Katele L

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Aug 3, 2024

very good course

创建者 Samuel H

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May 31, 2024

Amazing course!

创建者 Миракбар М

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Jun 11, 2025

Amazing course

创建者 Lộ T Đ

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Dec 25, 2024

Great course!

创建者 Mahad M

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Mar 9, 2025

good contetn

创建者 Clement M

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Feb 3, 2025

Good explain

创建者 Ikhsan K

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Dec 5, 2024

I like this!

创建者 Munkh-Ireedui B

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Dec 29, 2023

excellent!!!

创建者 Costa “ A

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Jul 16, 2025

Excepcional

创建者 serigne d l

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Jan 21, 2024

EXCELLENT!

创建者 Eloy G

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Apr 15, 2025

Excellent

创建者 Samyar R

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Aug 18, 2024

great lab

创建者 Anurag S

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Sep 29, 2023

Excellent

创建者 STEALTH Z

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Jun 26, 2025

Exellent

创建者 Quoc A T

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Jul 15, 2024

Perfect