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Launching into Machine Learning

Machine Learning on Google Cloud,

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.
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Rating 4.4 based on 368 ratings
Length 4 weeks
Effort 5 - 7 hours per week
Starts Jun 26 (47 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming IT & Networking
Tags Data Science Machine Learning Cloud Computing Information Technology

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What people are saying

machine learning

Good information and content for getting stated with machine learning.

This course is about an overall strategy for the machine learning and a presentation of the TensorFlow.

I have got a new perspective on Machine Learning !!

Thank you for your in-depth teaching on machine learning.

good fun 따라하기가 어렵다 dadad 11 한국어 자막이 없어서 수행하는데 시간이 오래 걸렸습니다 T_T Little challenging than the first part of the specialization but thoroughly enjoyed deep diving into understanding basic concepts of Machine Learning without being overwhelmed.

Thanks Google :) It's good for machine learning My favourite course in the specialisation.

This course make me a step closer to my goals and will help me in my career building as a Machine Learning Engineer.

This course provides a great synopsis of different machine learning models and their nuances.

If you haven't seen machine learning before, you will probably need to go slowly and look up some of the concepts on your own.

Nice course, kind of introductory but necessary for someone who has no knowledge about Machine Learning basics and most relevant algorithms so far.

NA not enough practical content such as types of machine learning and different algorithms to be used etc A teacher's presentation skill needs to be improved.

This is not my first Machine Learning course, and it is helping me fill out many gaps I have in my understanding.

This course provides a great introduction to Machine Learning.

Barely learn anything I love the course introducing core concepts and practices in machine learning today as well as some historical development.

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google cloud

Perhaps that is why in the beginning it felt a bit like coming into something half way through, Overall then, interesting and useful, but would benefit from a bit of a clearer setup and explanation of how it fits into the overall Google cloud catalogue.

This course is more focused on technical side of using Google Cloud system.It would be better if students could do mini-projects so that we get used to handling GCS.

Although use is still made of Google cloud, the course becomes more interesting, since the teachers provide their practical insight in the preparation of data for machine learning without focusing too much on Google.

A very nice overview of ML history and introduction to ML on Google Cloud Platform!

Good One Very good course Thanks so much Thanks Coursera, it was an amazing learning process I enjoyed every bit of the lecture I loved the course and the methods of teaching, thanks to coursera and google cloud.

The fun time is having a chance to take a look at the Google Cloud AI platform and have a fun time with it? !

Thanks to team of Google Cloud Platform for giving such dramatic and interesting course for me to acquire critically fundamental knowledge of conducting ML!

Great demo on Google Cloud platform's python notebook with fruitful basic ML concept This course Help us learning Google Cloud platform and as well machine learning.

but it is just like an intro regarding how to use google cloud platform.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

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Rating 4.4 based on 368 ratings
Length 4 weeks
Effort 5 - 7 hours per week
Starts Jun 26 (47 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming IT & Networking
Tags Data Science Machine Learning Cloud Computing Information Technology

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