Description
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:
- Basic machine learning terminology and process
- Learn how to frame a machine learning problem and when to use machine learning
- Prepare and develop data sets
- Gain solid understanding of feature engineering and data visualizations
- Work with model training and evaluation
- Learn about business goal evaluation
- See machine learning prediction, and much more….
Course Curriculum
- 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
- 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
- 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
- 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
- Parameter Tuning (5:12)
- Parameter Tuning Quiz
- Overfitting Vs Underfitting (7:19)
- Overfitting and Underfitting Quiz
- Goal Evaluation (4:15)
- Goal Evaluation Quiz
- Augmenting Your Data (5:31)
- Augmenting Your Data Quiz
- Predictions (4:58)
- Predictions Quiz
- Complete ML Run through Project (18:23)
- Banking Data Set Upload (8:41)
- Create & Training Data Model (10:27)
- Creating Predictions (7:55)
- Machine Learning in Azure (4:48)
- AWS Preparing Data Set and Model (3:33)
- Creating Data Source in AWS (7:01)
Sale Page: https://stoneriverelearning.com/p/machine-learning-terminology-and-process-for-beginners
Archive: https://archive.ph/wip/QcgRn
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