Machine Learning Terminology & Process For Beginners

ClayDesk

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• Introduction 15:02

  • 1: Introduction - Course Agenda Preview 05:38
  • 2: What Will I Learn ? Preview 04:50
  • 3: Why DO You Use Machine Lanaguage? Preview 04:34

• Machine Learning Problem Framing 35:18

  • 4: Business Vs ML Problem 09:44
  • 5: Types of Machine Learning 09:58
  • 6: Machine Learning Algorithms 15:36

• Working with Datasheets 25:03

  • 7: Different Types of Data 04:44
  • 8: Data Collection & Integration 06:54
  • 9: Data Cleaning 05:50
  • 10: Data Splitting & Shuffling 07:35

• Data Visualization & Feature Engineering 22:34

  • 11: What Are Features 04:03
  • 12: Visualization Types 05:18
  • 13: What Is Feature Engineering? 06:12
  • 14: Numeric Value Binning 07:01

• Model Training & Evaluation 12:43

  • 15: Parameter Tuning 05:18
  • 16: Overfitting Vs Underfitting 07:25

• Buisness Goal Evaluation 15:05

  • 17: Goal Evaluation 04:22
  • 18: Augmenting Your Data 05:38
  • 19: Predictions 05:05

• Hands On Machine Learning Using AWS Rekognition 10:34

  • 20: AWS Preparing Data Set and Model 03:33
  • 21: Creating Data Source in AWS 07:01

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

Course Description

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

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

In this course, you will also get complete resources, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything

So, if you would like to:

• Gain solid understanding of Machine Learning, this course is for you

• Gain marketable skills as an IT expert and professional, this course is for you

• This course is not designed for intermediate or advanced level students

This Machine Learning Terminology & Process For Beginners is exactly what you need, and more. You’ll even get a certification of completion

What out students say.

See what our students say “It is such a comprehensive course that I don’t need to take any other course but this one to learn all of Machine Learning processes and important terminology along with demos - Absolutely worth it” - Chavez

“This is such an awesome course. I loved every bit of it – Wonderful learning experience!” Jill Neumann.

Join thousands of other students and share valuable experience

Why take this course?

As a senior Project Manager & Web developer, managing and deploying enterprise level IT projects, along with a Microsoft Certified Systems Engineer & Trainer, my experience with Machine Learning projects has been phenomenally great. I am excited to share my knowledge and transfer skills to my students.

Enroll now in Machine Learning Terminology & Process For Beginners today and revolutionize your learning. Stay at the cutting edge of enterprise cloud computing and enjoy bigger, brighter opportunities.

See you in class

Syed & Team ClayDesk

• Beginner machine learning data engineers or data analysts
• Anyone who wants to learn and gain solid understanding of machine learning

• Basic statistic concept are desirable but not required

• AWS account for free tier requires a credit card

• Machine learning with AWS is not free. Watchful eye on billing alerts must be kept

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