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

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560 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

MB

Jul 24, 2023

A great course for anyone who wants to dive into the world of Machine Learning. The steps are easy to follow and the lectures and lengthy enough to give a complete idea of the topic.

DV

Jun 16, 2023

Really nice course that I came across The Nuts and Bolts of Machine Learning, I learnt a lot. Gained Advanced concepts like Hyper parameter tuning. Nicely curated course.

筛选依据：

76 - The Nuts and Bolts of Machine Learning 的 96 个评论（共 96 个）

创建者 Justin H

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Nov 28, 2023

Brutal

创建者 parvati B

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Nov 7, 2024

Great

创建者 vrushabh G

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Sep 3, 2024

great

创建者 Wassim R

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Mar 28, 2024

great

创建者 Maiymona S

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Jun 20, 2025

nice

创建者 Harsh C

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Aug 23, 2024

n nm

创建者 Inam U

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Aug 10, 2024

good

创建者 Huy D V

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Apr 3, 2024

nice

创建者 Tetiana B

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Jul 12, 2025

+

创建者 Zeng Y

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Aug 8, 2023

.

创建者 Evgeniy K

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Nov 22, 2024

Being an experienced programmer with math background but with rather outdated knowledge of ML, in order to refresh and expand my knowledge, I decided to take a series of ML courses from Andrew Ng, and then "The Nuts and Bolts..." (TN&B). TN&B pleasantly surprised me with an abundance of theory combined with a developer's perspective. Some topics, especially K-means, in my opinion, are explained even better than in the course from Andrew Ng. The labs and activities in Python seemed interesting to me at first, but by the end they were reduced to the monotonous creation of Tree Forests or XGBs. The final project was quite boring and, frankly, by the end I could not stand it and wrote part of the code using lots of copy-paste techniques. It seems to me that the authors of the course should have paid more attention to the issues of analyzing various scores and confusion matrices, since these are rather sophisticated topics. Based on the results, I can say that after the course there is practically no chance of becoming an ML programmer or getting a corresponding job if you were counting only on this course or specialization. But if you already have programming experience and some basic knowledge of ML, then the course is well suited to update your knowledge and get the big picture.

创建者 Jim S

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Dec 28, 2024

Interesting information but probably the least useful of the courses. K-Means was a valuable concept that I will use later in research and at work.

创建者 RM T

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Jun 19, 2024

Good To Boost our skills

创建者 pitipark J

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Jul 2, 2023

THE QUIZ IS SO HARD

创建者 Laddu S

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May 3, 2025

Clear Explanation

创建者 Aditya K

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Aug 25, 2024

very interesting

创建者 Dodda B R

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Jun 23, 2025

good

创建者 Maryam A

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May 27, 2025

Good

创建者 Ayush A

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Apr 18, 2025

na

创建者 Hamza T

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Sep 19, 2025

The course is fine , It can be reviewed by two main points: 1. It needs further explanation covering some concepts, I didn't understand that much 2. The Labs are good

创建者 Yash G

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Aug 13, 2025

very less visuals and much of oral teaching for these type of topics, infact youtube channels such as 'StatQuest with Josh Starmer' have the outstanding content for learning such topics! Am very upset with it and the only thing i like in previous two courses is the lab otherwise the method of teaching is not good.