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Launching into Machine Learning

Launching into Machine Learning

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8.0/10 (Our Score)
Product is rated as #262 in category Machine Learning

Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation. Course Objectives: Identify why deep learning is currently popular Optimize and evaluate models using loss functions and performance metrics Mitigate common problems that arise in machine learning Create repeatable and scalable training, evaluation, and test datasets 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

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps 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.

Specification: Launching into Machine Learning

Duration

7 hours

Year

2018

Level

Intermediate

Certificate

Yes

Quizzes

No

47 reviews for Launching into Machine Learning

4.7 out of 5
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  1. Richik G

    very valuable

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  2. Shawn W

    A bit difficult when introducing the ML history

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  3. Pratik S

    nice

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  4. Nils W

    The course is good, but I missed the hands on part. You really do not need to code. That should be changed.

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  5. Vladimir P

    Great course.

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  6. Luftwaffe

    Thanks to team of Google Cloud Platform for giving such dramatic and interesting course for me to acquire critically fundamental knowledge of conducting ML! It leads to all the places I’ve never thought of, and now I’m prepared to accept the challenge to bring ML into solving real life problems, in the hope of making the world more sense!

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  7. Shivam K

    Lesson Learnt: Best model might not be a good model in real world! Generalization is important! The labs had issue of disconnection. My jupylab notebooks were frequently disconnecting from the server and I had to manually reconnect them to kernel.

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  8. Mahendra S C

    High level of Machine learning algo and its implementation in cloud using Bigquery. simple but required in upcoming courses.

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  9. Jitendra k m

    Very interesting course

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  10. Sebastian R

    Weak: Long on telling you how great google is, short on technical skills.

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  11. Hsin W C

    Today is my day Learning GCP AI platform have a fun time discovering data pre processing with Big Queries, deploy TensorFlow notebook and play with Benchmark model. The fun time is having a chance to take a look at the Google Cloud AI platform and have a fun time with it:) ! Thank you Google and Coursera give us the scholarship to read and have a fun time with These labs:)! You light my day! We love you

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  12. Taewoon S

    overall very useful to get into ML world. But in the lab, couldn’t run the re coded set as instructed. Thank you!

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  13. KimYongWan

    very good!!

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  14. Naqash B

    Very informative course. Enjoyed it end to end. Loved the way Evan explained everything. He is a super instructor. kudos!

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  15. jong h c

    Good

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  16. Super intelligent S o t C B

    Good course. Teaches some basics of machine learning. Thank you to Google for putting it together, and to Coursera for making it available.

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  17. YuMin C

    I love the course

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  18. Nigar A

    Great course with balanced strain of theory and practice

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  19. Anvesh M

    great data insight and hands on practice with scaled up data

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  20. Bruno E S B

    TOP

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  21. Balaji R

    Excellent course, really liked the way effort was taken to have the code snippets and the VM set.

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  22. Anupam S

    I could only sustain it because I have completed basic ML courses earlier. Too many tech concepts & jargons overloaded in a very short time.

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  23. serdar b

    A good course on ML principles

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  24. Akshay M

    I loved the course and the methods of teaching, thanks to coursera and google cloud.

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  25. Adeola L

    Thanks Coursera, it was an amazing learning process

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  26. Imoleayomide M A

    I enjoyed every bit of the lecture

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  27. Boluwatife A

    Thanks so much

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  28. Cesar R L S

    Very good course

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  29. Mohan C

    Good One

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  30. franco g

    Overall is a good course. I’ll suggest to improve the algorithms description, also go slow in code deployed.

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  31. Punith R

    excellent platform to learn

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  32. GAURAV K M

    awesome

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  33. Gregor L

    Good to get an Overview of what is needed for ML and where to use it

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  34. Prashant M

    It was great and I learned many new things .

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  35. RAVI R K

    Nice course for getting started with Data Classification and High level knowledge on different models.

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  36. ChangYong J

    Great to learn the ML !!

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  37. Burak P

    Real Wordl Applications

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  38. 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.

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  39. Yefry J L N

    A great introduction course to Machine Learning!

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  40. Paha S

    Great

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  41. Abhishek K

    enjoying the course…:)

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  42. Esther B

    Practical and good explanations.

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  43. Manikant K

    this course was highly enjoyable to learn ml on GCP

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  44. Fedric

    Excellent

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  45. Carlos H G

    Very clear

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  46. Lam C V D

    Mixed results as need SQL knowledge to do

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  47. Marcos V

    Good explanations in dynamic and direct and intersting way

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