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:

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 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

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!