Machine Learning for Business Professionals

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Google Cloud

5:23:25

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01 - Introduction

01 - Introduction.mp4

05:22

02 - Getting started with GCP and Qwiklabs.mp4

03:48

02 - What is Machine Learning

03 - Standard Use Cases and Algorithms.mp4

06:55

04 - Characteristics of Data.mp4

07:57

05 - ML vs. Artificial Intelligence.mp4

03:32

06 - Predictive Insights and Repeated Decisions.mp4

04:57

07 - Real life Use Cases.mp4

05:18

08 - Create a pizza-ordering chatbot with Dialogflow.mp4

00:10

09 - Building a Chatbot Lab Review.mp4

16:22

10 - Why ML Now Part 1.mp4

04:07

11 - Why ML Now Part 2.mp4

08:18

12 - Understanding Images with Google Cloud.mp4

00:10

13 - Understanding Images Lab Review.mp4

10:50

14 - Using AI Responsibly.mp4

02:53

03 - Employing ML

15 - Introduction.mp4

05:16

16 - ML Terminology in Context.mp4

05:53

17 - Acquiring Labeled Data Part 1.mp4

04:36

18 - Acquiring Labeled Data Part 2.mp4

05:41

19 - Labeling Service Demo.mp4

05:12

20 - Model Training Part 1.mp4

05:35

21 - Model Training Part 2.mp4

04:55

22 - Model Evaluating.mp4

05:56

23 - General Best Practices.mp4

04:07

24 - Human Bias in ML Part 1.mp4

05:38

25 - Human Bias in ML Part 2.mp4

05:51

26 - Human Bias in ML Part 3.mp4

03:17

27 - Activity -Understanding Learned Relationships using the Embedding Projector Review.mp4

07:35

28 - Fairness in ML Part 1.mp4

05:33

29 - Fairness in ML Part 2.mp4

03:04

30 - Activity -Applying Fairness Concerns with the What-If tool Review.mp4

15:30

04 - Discovering ML Use Cases

31 - Introduction.mp4

04:01

32 - Simplifying Rule-based Systems Part 1.mp4

04:42

33 - Simplifying Rule-based Systems Part 2.mp4

03:56

34 - Simplifying Rule-based Systems Part 3.mp4

04:18

35 - Streamlining Business Processes.mp4

05:18

36 - Understanding Unstructured Data.mp4

04:45

37 - Personalizing Experiences.mp4

04:59

38 - Recommender Systems Part 1.mp4

04:04

39 - Recommender Systems Part 2.mp4

04:36

40 - Inspiring ML use cases.mp4

05:06

41 - When to use ML.mp4

06:56

42 - Activity -Generating Novel Rhythms with Machine Learning Review.mp4

04:02

43 - ML in Series.mp4

08:16

44 - Summary.mp4

02:12

05 - How to be successful at ML

45 - Introduction.mp4

03:36

46 - Data Strategy Part 1.mp4

08:51

47 - Data Strategy Part 2.mp4

04:58

48 - Data Strategy Part 3.mp4

06:09

49 - Predicting visitor purchases with BQML model (ML for Business Professionals).mp4

00:10

50 - Predicting visitor purchases with BQML model.mp4

18:02

51 - Data Governance Part 1.mp4

07:51

52 - Data Masking Demo.mp4

02:01

53 - Data Governance Part 2.mp4

04:59

54 - Data Governance Part 3.mp4

08:56

55 - Creating a Culture of Innovation Part 1.mp4

05:52

56 - Creating a Culture of Innovation Part 2.mp4

06:45

06 - Summary

57 - Summary.mp4

03:46

Description

If you're wondering what the machine learning hype is about or want to know what it can do for your enterprise, without the technical jargon, this course is for you.

What You'll Learn?

If you're wondering what the machine learning hype is about or want to know what it can do for your enterprise, without the technical jargon, this course is for you. In this class, learn what machine learning is, how to translate business problems into machine learning use cases, how to vet those use cases for feasibility and impact, how to discover unexpected use cases, how to carry a machine learning project through its various phases, and how to pursue machine learning and artificial intelligence responsibly and ethically.

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Google Cloud

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Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.