Whizrobo

Machine Learning With Google

Categories: BotBuilders
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About Course

Importance of Machine Learning:

  1. Automation: Machine learning automates decision-making processes based on data.
  2. Predictive Analysis: Predict future events and values based on historical data.
  3. Personalization: Offer personalized experiences to users, such as recommendation systems.
  4. Adaptability: ML models can learn and adapt to changes in data over time.
  5. Data Insights: Discover patterns and insights in vast amounts of data that might not be visible to human analysts.
  6. Efficiency: Optimize processes and resources, making operations more efficient.
  7. Innovation: Drives innovation in fields like healthcare, finance, and entertainment.
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What Will You Learn?

  • Hello World
  • Visualizing a Decision Tree
  • What Makes a Good Feature?
  • Let’s Write a Pipeline
  • Writing Our First Classifier
  • Train an Image Classifier with TensorFlow for Poets
  • Classifying Handwritten Digits with TF.Learn
  • Let’s Make a Movie
  • Intro to Neural Nets
  • Classify Structured Data with Neural Networks

Course Content

Introduction To Machine Learning

  • Introduction
    06:52
  • Visualisation
    06:42
  • What Makes a Good Feature
    05:41
  • Writing Pipelines
    07:54
  • Writing A Classifier
    08:44
  • Classifying Handwritten digits
    07:01
  • Train Image With Classifier
    07:07
  • Decision Tree Classifier From Scratch
    09:53
  • Feature Engineering with tensor Flow
    07:38
  • Getting Started with Weka
    09:24
  • Test