Stone River Elearning – Machine Learning Terminology and process for beginners

$27.00 $149.00 Sale

Stone River Elearning – Machine Learning Terminology and process for beginners

Learn Machine Learning Terminology & Process and gain solid understanding along with hand-on labs. Master 5 Steps of ML

In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data – Learn Machine Learning Terminology & Process For Beginners step-by-step while gaining solid understanding hands-on – Bringing you the latest technologies with up-to-date knowledge.

Are you new to machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS certifications? Look no further – learn and acquire new skills with this Machine Learning Terminology & Process For Beginners course.

Welcome to Machine Learning Terminology & Process For Beginners – A one of its kind course! It is not only a comprehensive course, you will not find a course similar to this.

Note: AWS Machine learning is not free. Please note that you may incur additional costs from AWS.

In this course, you’ll learn and practice:

  1. Basic machine learning terminology and process
  2. Learn how to frame a machine learning problem and when to use machine learning
  3. Prepare and develop data sets
  4. Gain solid understanding of feature engineering and data visualizations
  5. Work with model training and evaluation
  6. Learn about business goal evaluation
  7. See machine learning prediction, and much more….

Course Curriculum

Introduction
  • Course Introduction (3:43)
  • Course Agenda (5:32)
  • What Will I Learn (4:44)
  • When Do You Use Machine Learning (4:28)
  • AWS Machine Learning Stack & AI (12:28)
  • AWS Machine Learning Stack & AI Quiz
Machine Learning Problem Framing
  • Business Vs ML Problem (9:37)
  • The Business and ML Problem Quiz
  • Types of Machine Learning (9:52)
  • Types of Machine Learning Quiz
  • Machine Learning Algorithms (15:30)
  • Machine Learning Algorithms Quiz
Working With DataSets
  • Different Types of Data (4:38)
  • Different Types of Data Quiz
  • Data Collection Integration (6:48)
  • Data Collection and Integration Quiz
  • Data Cleaning (5:44)
  • Data Cleaning Quiz
  • Data Splitting Shuffling (7:29)
  • Data Splitting and Shuffling Quiz
Data Visualization & Feature Engineering
  • What Are Features (3:56)
  • What are Features Quiz
  • Visualization Types (5:12)
  • Visualization Types Quiz
  • What Is Feature Engineering (6:06)
  • What Is Feature Engineering Quiz
  • Numeric Value Binning (6:55)
  • Numeric Value Binning Quiz
Model Training & Evaluation
  • Parameter Tuning (5:12)
  • Parameter Tuning Quiz
  • Overfitting Vs Underfitting (7:19)
  • Overfitting and Underfitting Quiz
Business Goal Evaluation
  • Goal Evaluation (4:15)
  • Goal Evaluation Quiz
  • Augmenting Your Data (5:31)
  • Augmenting Your Data Quiz
  • Predictions (4:58)
  • Predictions Quiz
Hands-On Machine Learning Using AWS Rekognition & Python
  • Complete ML Run through Project (18:23)
  • Banking Data Set Upload (8:41)
  • Create & Training Data Model (10:27)
  • Creating Predictions (7:55)
Conclusion
  • Machine Learning in Azure (4:48)
  • AWS Preparing Data Set and Model (3:33)
  • Creating Data Source in AWS (7:01)

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