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Learner Reviews & Feedback for The Nuts and Bolts of Machine Learning by Google

4.8
stars
402 ratings

About the Course

This is the sixth of seven 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 seven 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...

Top reviews

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.

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1 - 25 of 59 Reviews for The Nuts and Bolts of Machine Learning

By Matthew B

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Jul 7, 2023

By far THE best course out of the standard Data Analytics course and Advanced version. The lecturer is passionate about what she is delivering and seems to be a master of decomposing a concept into bite-sized chunks which makes learning an already fascinating topic even more enjoyable.

To add, there's no waffling here, examples are fine-tuned to the scenario and easy to go along with, and I've noticed that each course is structured differently depending on the person who created it (I'm assuming it's the lecturer/presenter) - but, whoever it is, they have done a good job scaffolding this course effectively.

My take on the quality of courses within the Advanced version thus far is that all of them are good quality but Course 5 (Regression Modelling) needs a lot of work to even be considered to be on this or Course 4's (Statistics) level.

By Brent A

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Jun 16, 2023

The material is highly informational and the examples provided are exceptional. The follow-along guides have been my favorite part of this specialization because I understand topics much easier when they are presented in Python since my background is in programming. The end-of-course project was the most thorough so far and even included test comparisons from two different models. I feel much more comfortable now pursuing the subject further in other courses now that I have a good foundation of the basics.

By Prashant S

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Jun 12, 2023

The course was OK and it wasn't too much in detail I had to first read the book hands on machine learning and then watch lectures to get a good understanding however the labs were great

By Jim H

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Jul 22, 2023

Very nice program covering decision trees, random forest, bagging, boosting, and XG boost models. Helped strengthen python skills. Worth the time investment.

By S M G A N

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Aug 4, 2023

Upon successfully completing "The Nuts and Bolts of Machine Learning" on Coursera, I am elated to convey my utmost satisfaction with this extraordinary course. The meticulously curated content showcased a thoughtful organization, imparting a profound understanding of the core principles of machine learning. The instructors' unparalleled expertise and lucid explanations rendered intricate concepts easily accessible and utterly captivating. The hands-on exercises and real-world examples proved pivotal in reinforcing my learning, elevating my proficiency to confidently employ machine learning techniques. The peer-graded assignments fostered a strong sense of community, enabling invaluable feedback exchanges among learners. Overall, this course has been an invaluable learning odyssey, furnishing me with indispensable tools and knowledge to embark on thrilling machine learning endeavors with unwavering confidence.

By Manish S B

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Jul 25, 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.

By derik v

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Apr 3, 2023

The most fun part of the certificate. Building models is the meat of program, and you can begin playing with your own datasets after this section.

By Bhaskar P R O

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Jun 10, 2023

Great course. My favorite course from both the Google Data Analytics & Google Advanced Data Analytics courses.

Thanks for such a wonderful course.

By Andrea H

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Dec 14, 2022

Great intro to machine learning. The instructor did well in breaking down the concepts and explaining the python code.

By Lingyi Y

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Jul 27, 2023

A good introductory level course on some common ML models. It does teach students with little work experience how to communicate with fellow colleagues and stakeholders.

By Himansu D

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Oct 17, 2024

This course, The Nuts and Bolts of Machine Learning, has gone in great length to explain how a machine learning model works to solve a business problem. This course covered different types of classification techniques, machine learning models and few other important topics related to machine learning. The instructor of this course, Ms. Susheela, explained covered topics by providing good details and explaining these topics clearly. Also, another instructor who appeared at the end of course also provided good tips on portfolio projects which have been completed through out the course and how to discuss them to a hiring manager when interviewing for a data analytics/ data science employment opportunity. Thanks to Coursera platform for hosting this worderful course and to Google team who created this one of the most important course as part of the Google Advanced Data Analytics Professional Certificate program.

By Saeed V

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Dec 19, 2023

Course 6, 'The Nuts and Bolts of Machine Learning,' in the Advanced Data Analytics specialization by Google on Coursera has been an invaluable learning experience. The course effectively covered the different types of machine learning, the workflow for building complex models, unsupervised learning techniques, and tree-based supervised learning. The end-of-course project provided a practical opportunity to apply the newly acquired knowledge. I deeply appreciate the clear explanations, real-world examples, and hands-on exercises that made the learning experience both informative and engaging. This course has significantly enhanced my understanding of machine learning and its applications in data analysis. I highly recommend this course to anyone interested in gaining a comprehensive understanding of the fundamentals of machine learning in the context of data analytics.

By John E

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Apr 25, 2023

The materials and presentations are excellent, but I am not a fan of the busy work involved in the end of course PACE portfolio work. Professional presentation is certainly important, but you end up diluting the course by including so much of this material. Furthermore, having worked on many projects, I can tell you that the workflow process is so iterative that trying to "shoe horn" the process into a four letter acronym -- which is better than the six letter acronym in the previous specialization -- is both reductionistic and frankly artificial. My suggestions are as follows: remove this excess material and "re-factor" the PACE/portfolio material into one course, perhaps the capstone course. Otherwise, I learned quite a bit.

By Siva S P

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Jan 8, 2024

If you are a beginner and you wanna have a good foundation on Machine learning especially from Data Analysis point of view, I think this is the best place to start off as you put all your learning skills at the end of the course's data analytics project , which is a very thoughtful step by google to make their potentials learners equip their resumes with great critical thinking projects. Thanks to Google !!

By bryan m

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May 8, 2024

The instructor was very easy to follow. The reading materials are super good! greatly helped me to understand more about the topic. Lab projects are good too! but, the end-of-course projects made me think hard and do trial and error which I like.

By Wayne B

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Oct 16, 2024

This is excellent content. I really like how the course takes its time in going through all the planning aspects of machine learning models. As a developer eager to jump into the code, I've found this approach to be refreshing.

By Dharmik V

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Jun 17, 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.

By Claudet A M M S

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May 18, 2024

This course helped me take my ML skills to another level entirely, I would certainly recommend it to anyone looking for a breakthrough in data analytics.

By Hassan H

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Nov 27, 2023

An educating, eye opening and interesting course that was well delivered and articulated by highly proficient and professional tutors.

By Ilja H

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Jan 15, 2024

Very useful course! Concise overview of strengths and weaknesses of various cutting edge machine learning techniques.

By Trung N P

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Feb 7, 2024

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

By Ebrahim A

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Aug 22, 2023

It is a very well-designed course. If the instructor adds time series to the course, it could be very helpful

By Mehri M

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Feb 17, 2024

This course was the most technical course among the 7 courses. However, it was very enjoyable and exciting!

By Nazeem U B

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Feb 19, 2024

The best course in the certificate. This course was really helpful and the instructor was excellent!

By John S

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Oct 9, 2023

Wonderful course......THANK YOU to the instructors as they all were amazing and encouraging.