What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms of service <<< 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.
Instructor Details
Courses : 28
Specification: How Google does Machine Learning
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62 reviews for How Google does Machine Learning
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Roberto J D –
Se enfocan demasiado en decir que Google hace bien las cosas, pero explican bien poco el como se hace
Akshay M –
I really loved the course, content and the method of teaching. Thanks to Coursera and Google Cloud.
Belinda M –
Great learnings
Yasine G –
Tres bonne introduction au ML et a GPC
Grace A O –
Very insightful, and really such an amazing platform
Simon B –
Very good and clear overview
Deleted A –
Cool
Oscar H –
A great introduction to Google’s ML tools!
Om D –
Awesome Course !!! Got to know How Google Does Machine Learning. This course changed my perspective of looking the machine learning from a different perspective. I got to know about only building the model is not important but other stuff is also important. Thanks 🙂
Aruna –
Awesome
Alan P –
Very satisfied with this course
GAURAV K M –
g o o d
Ohiri E –
I am grateful to Google Cloud Africa for making this course free. I must say, I have learnt much. I never took BigQuery SQL course i had serious but now, am studying and practicing daily. Thank you to the team members for finding time to demystify this course.
ANIL K T –
Superb course designed by Google for ML I’ve learned somuch regarding ML and how Google does Machine Learning
Cesar R L S –
This is a very good course, I learned a lot.
Thursy R A S –
Clear presentation and good introduction of each machine learning and google cloud topics
Weihao Z –
great
franco g –
Nice course, i really like the way the google cloud stack was introduced.
nader k –
very cool
Wayne D –
A good intro to ML in the Google universe.
Kevin G –
Very good introduction on how to use Google Cloud Services to implement machine learning solutions, thanks
Devatanu B –
Good introduction to Google ML
Temilola A O –
It was a ride indeed. I enjoyed it
Khawab k –
this course shows the full potential of google cloud
Barry R –
Great Course. Enjoyed the Challenges.
mustapha b –
Neutral
Monsij B –
Prior to taking this course, I was completely unaware of how to get started using vast features developed by Google AI. This course has provided me a strong foundation to build upon. Highly recommended course!!.Thanks Coursera and of course Google :–)
Aniket G –
I actually learnt lot of good stuff regarding GCP and ML on cloud. This is the beginner course for anyone who wants to start off their career in GCP and ML. Thanks coursera and GCP for this course
Schmucke E –
Is greats !!!
ChangYong J –
Great to know the Google Machine Learning!
Jeannene S –
Great course and learned alot about the API.
RAVI R K –
Good
Gregor L –
Nice Course to get a better understanding of what makes ML work and how Google approaches ML
Bouchhioua M –
Thank you very much for this course
Amjad A T –
This is not a course! It is just an ad to Google services. One does not even have access to the rest of the courses in the specialization without paying. So You have to pay in order to learn how to pay for Google Cloud APIs.
Fazeel H U –
A must–take course for the young engineers, entrepreneurs to build their projects easily quite efficiently. Don’t waste time in training already built models just use them, make efforts in developing models which don’t exist. Thank you, Google for creating such an amazing, engaging course.
Ravichandran V –
Thank you Google for making ML accessible by all through high level abstraction
Manohar P –
The information which is potrayed very beautifully.Lecturers are quite clear and gave very isolated information.Finally it is one of my best course on online platform with a lot of basic knowledge on ML with clarifications.
Soumya K –
The course was fantastic, people might complain about the “labs” being easy but there was a lot to explore and learn and get the right feel to being the journey of GCP, THANK YOU SO MUCH!
Akash K –
Google has built a standard way of looking in to the Data Science Ocean.
Shahul H A –
Very insightful and clarified a lot of processes that I wanted to streamline
Manikant K –
This was a wonderful experience to get started with how google do ML
Justus I –
This course really simplifies how google does ML. It expatiates on Googles ML product and how to utilizes them in Production
Cooper C –
This course is just ok. It is not interactive and I don’t feel that I learned much when compared with other ML courses. I expected to work through the lab assignments rather than to simply click through them.
Paha S –
Awesome course.
Aryo P –
Excellent!
Abhishek K –
learn a lot! Thank you coursera and Google. 🙂
Nir P –
The materials transferred in simple and clear way. Thanks you :–)
Ronan O G –
Very good and practical content, this first course is an overview of different kinds of machine learning using Google Cloud apis.
Fedric –
Excellent
AJITSINH K S –
The course is full of information and excellent content. The trainers are very good. There are certain technical issue with the lab/assignment.
afonso o l –
Introducao ao jeito do Google pensar ML, Fluxo para uso de ML e como chamar as principais classes no jupyter Lab dentro do GCP para projetos de Machine Learning.O exercicio de conclusao e um exercicio com a classe FACE DETECTION, simples mas bem interessante.
Berke D B –
Was expecting more applied exercises on GCP. Machine Learning knowledge should be a prerequisite.
Bunty A S –
Nice fundamentals on GCP and ML , really liked the structure but only issue i found is sometimes GCP doesnt work in Labs
Danial A –
The course is packed with wonderful learning resources. However I think that the course should be further divided into subsequent weeks so that it is easy to keep the track of the course.
sk s a r –
awesome
Aapsi K –
the course is really great!!! It provides an introduction to the google cloud console and the APIs and also how google performs machine learning using cloud
Haris A –
Amazing Experience
Than V D –
Awesome!
Ritayan G –
Starts off in a very drab and boring manner, but the hands on labs were very interesting. The ML APIs introduced in the end were revolutionary.
Md. H R –
Course was helpful
THANH T N T –
Great