Companies Home Search Profile

How Google Does Machine Learning

Focused View

Google Cloud

3:21:05

29 View
  • 01 - Specialization Agenda.mp4
    05:47
  • 02 - Why Google.mp4
    01:39
  • 03 - Why Google Cloud.mp4
    02:10
  • 04 - What it means to be AI first.mp4
    00:58
  • 05 - Two stages of ML.mp4
    03:44
  • 06 - ML in Google products.mp4
    05:14
  • 07 - Google Photos.mp4
    01:22
  • 08 - Google Translate.mp4
    01:42
  • 09 - Replacing heuristics.mp4
    05:20
  • 10 - Its all about data.mp4
    03:25
  • 11 - Lab-Framing an ML problem.mp4
    01:38
  • 12 - Lab debrief.mp4
    04:14
  • 13 - ML in Applications.mp4
    02:45
  • 14 - Pre-trained models.mp4
    03:18
  • 15 - The ML marketplace is evolving.mp4
    02:28
  • 16 - A data strategy.mp4
    05:33
  • 17 - Training-serving skew.mp4
    05:46
  • 18 - A ML strategy.mp4
    01:47
  • 19 - Transform your business.mp4
    02:12
  • 20 - Lab Intro - Non-traditional ML use case.mp4
    00:26
  • 21 - Introduction.mp4
    00:52
  • 22 - ML Surprise.mp4
    04:53
  • 23 - The secret sauce.mp4
    08:49
  • 24 - ML and Business Processes.mp4
    06:21
  • 25 - The Path to ML.mp4
    10:54
  • 26 - End of phases deep dive.mp4
    04:19
  • 27 - Introduction.mp4
    02:11
  • 28 - Machine Learning and Human Bias.mp4
    02:32
  • 29 - Evaluating Metrics for Inclusion.mp4
    03:51
  • 30 - Statistical Measurements and acceptable tradeoffs.mp4
    04:01
  • 31 - Equality of Opportunity.mp4
    06:14
  • 32 - Simulating Decisions.mp4
    03:09
  • 33 - Finding Errors in your dataset using Facets.mp4
    04:54
  • 34 - Module Introduction.mp4
    01:57
  • 35 - Cloud Datalab.mp4
    01:01
  • 36 - Demo- Cloud Datalab.mp4
    03:03
  • 37 - Development process.mp4
    02:12
  • 38 - Computation and storage.mp4
    04:58
  • 39 - Intro to Qwiklabs from Lak.mp4
    05:07
  • 40 - [ML on GCP C1] Rent-a-VM to process earthquake data.mp4
    00:10
  • 41 - Lab debrief.mp4
    11:14
  • 42 - Cloud shell.mp4
    02:07
  • 43 - Third Wave of Cloud 3.mp4
    01:33
  • 44 - Third Wave of Cloud 3.mp4
    02:08
  • 45 - Third Wave of Cloud 4.mp4
    00:52
  • 46 - Lab Intro.mp4
    01:12
  • 47 - [ML on GCP C1] Analyzing data using Datalab and BigQuery.mp4
    00:10
  • 48 - Lab debrief.mp4
    07:26
  • 49 - ML - not rules.mp4
    02:31
  • 50 - Cloud Vision API.mp4
    03:56
  • 51 - Video intelligence API.mp4
    03:34
  • 52 - Cloud Speech API.mp4
    03:07
  • 53 - Translation and NL.mp4
    04:59
  • 54 - Lab- Pretrained ML APIs Intro.mp4
    00:43
  • 55 - Lab Solution.mp4
    07:48
  • 56 - [ML on GCP C1] Invoking Machine Learning APIs.mp4
    00:10
  • 57 - Summary-ML Strategy.mp4
    04:39
  • Description


    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.

    What You'll Learn?


      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 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.

    More details


    User Reviews
    Rating
    0
    0
    0
    0
    0
    average 0
    Total votes0
    Focused display
    Google Cloud
    Google Cloud
    Instructor's Courses
    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, 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.
    • language english
    • Training sessions 57
    • duration 3:21:05
    • level average
    • Release Date 2023/10/11