Machine Learning Terminology & Process For Beginners
Machine Learning Terminology & Process For Beginners, available at $44.99, has an average rating of 4.15, with 31 lectures, 17 quizzes, based on 34 reviews, and has 6097 subscribers.
You will learn about Fundamentals of Machine Learning Terminology & Processes Learn how to frame a machine learning problem and when to use machine learning Prepare and develop machine learning 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…. Use Python in AWS Rekognition with hands-on This course is ideal for individuals who are Beginner machine learning data engineers or data analysts or Anyone who wants to learn and gain solid understanding of machine learning It is particularly useful for Beginner machine learning data engineers or data analysts or Anyone who wants to learn and gain solid understanding of machine learning.
Enroll now: Machine Learning Terminology & Process For Beginners
Summary
Title: Machine Learning Terminology & Process For Beginners
Price: $44.99
Average Rating: 4.15
Number of Lectures: 31
Number of Quizzes: 17
Number of Published Lectures: 31
Number of Published Quizzes: 17
Number of Curriculum Items: 48
Number of Published Curriculum Objects: 48
Original Price: $64.99
Quality Status: approved
Status: Live
What You Will Learn
- Fundamentals of Machine Learning Terminology & Processes
- Learn how to frame a machine learning problem and when to use machine learning
- Prepare and develop machine learning 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….
- Use Python in AWS Rekognition with hands-on
Who Should Attend
- Beginner machine learning data engineers or data analysts
- Anyone who wants to learn and gain solid understanding of machine learning
Target Audiences
- Beginner machine learning data engineers or data analysts
- Anyone who wants to learn and gain solid understanding of machine learning
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:
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Basic machine learning terminology and process
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Learn how to frame a machine learning problem and when to use machine learning
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Prepare and develop data sets
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Gain solid understanding of feature engineering and data visualizations
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Work with model training and evaluation
-
Learn about business goal evaluation
-
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:
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Gain solid understanding of Machine Learning, this course is for you
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Gain marketable skills as an IT expert and professional, this course is for you
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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 Beginnerstoday 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
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Promo & Instructor Bio
Lecture 2: Introduction – Course Agenda
Lecture 3: What Will I Learn?
Lecture 4: When Do You Use Machine Learning
Lecture 5: Your feedback: Updates – Let us know!
Lecture 6: AWS Machine Learning Stack & AI
Chapter 2: Machine Learning Problem Framing
Lecture 1: Business Vs ML Problem
Lecture 2: Types of Machine Learning
Lecture 3: Machine Learning Algorithms
Chapter 3: Working With DataSets
Lecture 1: Different Types of Data
Lecture 2: Data Collection & Integration
Lecture 3: Data Cleaning
Lecture 4: Data Splitting & Shuffling
Chapter 4: Data Visualization & Feature Engineering
Lecture 1: What Are Features
Lecture 2: Visualization Types
Lecture 3: What Is Feature Engineering?
Lecture 4: Numeric Value Binning
Chapter 5: Model Training & Evaluation
Lecture 1: Parameter Tuning
Lecture 2: Overfitting Vs Underfitting
Chapter 6: Business Goal Evaluation
Lecture 1: Goal Evaluation
Lecture 2: Augmenting Your Data
Lecture 3: Predictions
Chapter 7: Hands-On Machine Learning Using AWS Rekognition & Python
Lecture 1: Complete ML Run through Project
Lecture 2: Download Datasets
Lecture 3: Banking Data Set Upload
Lecture 4: Create & Training Data Model
Lecture 5: Creating Predictions
Chapter 8: Learning Resources
Lecture 1: Machine Learning in Azure
Lecture 2: AWS Preparing Data Set and Model
Lecture 3: Creating Data Source in AWS
Lecture 4: How to Download and Install PyCharm
Instructors
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ClayDesk E-learning
The Knowledge Factory -
Syed Raza
Best Selling Instructor, Enterprise Architect, 8x AWS, PhD -
Qasim Shah
Enterprise Architect, Digitization Expert & Teacher -
Ali Bokhari
Teaching Over 300,000 Students With Passion
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 7 votes
- 4 stars: 16 votes
- 5 stars: 8 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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