Machine Learning for Beginners with TensorFlow
Course
Online
Description
-
Type
Course
-
Methodology
Online
-
Start date
Different dates available
Machine learning is the way of the future – it is increasingly being used by companies better process data and make more accurate predictions, making it a high-paying field filled with opportunities. This course takes a practical approach to teaching machine learning – you’ll start with a hands-on project, developing a strong understanding of the underlying algorithms after you’ve gained an intuitive understanding of the fundamentals.
Using Python and TensorFlow 2.0 (the leading library for building, training, and testing machine learning programs), you’ll build a linear regression model from scratch and train its pattern recognition with various data.
You will learn:
What machine learning is
Real-world applications of machine learning
Installation and setup for TensorFlow 2.0
Plotting and graph creation with NumPy and Matplotlib
How to build and train a linear regression model
…and more!
Frameworks and tools covered: Python 3.7, Anaconda 2019.10, Jupyter Notebook 6.0.1, NumPy 1.17, Matplotlib 3.1, Tensorflow 2.0
Your Courses, Your Way
All of our project-based courses are designed to be flexible – you can access courses 24/7 to fit them around your schedule, and choose the learning materials that suit you best.
You can even download your course videos and watch them offline using the Zenva app, available on iOS and Android.
Learn from World-Class Instructors
Our course instructors participate in elite developer programs and have been recognized for their demonstrated excellence in development and teaching.
That way, you can be confident that you’re learning the most up-to-date content from industry experts.
Interactive Lessons with Codemurai
Our unlimited access package comes with free access to all of the courses in our mobile app, Codemurai!
Available on iOS and Android, it’s full of interactive programming lessons and exercises so you can continue your learning on the go.
Achieve Real Results
Facilities
Location
Start date
Start date
About this course
b
Why should I learn programming?
b
What will I achieve by taking these courses?
b
Technology changes quickly. What happens if the content becomes outdated?
b
I’m an absolute beginner who’s never coded before. Can I still do these courses?
b
What time commitment is needed?
b
Will these courses help me to change my career?
b
Can I watch the videos offline?
Basic knowledge of Python and NumPy
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 4 years
Subjects
- Access
- Teaching
- Project
Course programme
Introduction 6:53
Introduction 6:53
6:53
Intro to Machine Learning 3:51
Intro to Machine Learning 3:51
3:51
What can Machine Learning do - Part 1 9:39
What can Machine Learning do - Part 1 9:39
9:39
What can Machine Learning do - Part 2 9:18
What can Machine Learning do - Part 2 9:18
9:18
Types of Machine Learning 9:51
Types of Machine Learning 9:51
9:51
How Machine Learning Works 9:51
How Machine Learning Works 9:51
9:51
Common Machine Learning Structures - Part 1 6:04
Common Machine Learning Structures - Part 1 6:04
6:04
Common Machine learning Structures - Part 2 10:33
Common Machine learning Structures - Part 2 10:33
10:33
Building a Machine Learning Model - Part 1 8:43
Building a Machine Learning Model - Part 1 8:43
8:43
Building a Machine Learning Model - Part 2 9:33
Building a Machine Learning Model - Part 2 9:33
9:33
Intro to Tensorflow 5:24
Intro to Tensorflow 5:24
5:24
Installing Anaconda 4:00
Installing Anaconda 4:00
4:00
Working with Jupyter Notebooks 7:34
Working with Jupyter Notebooks 7:34
7:34
Installing Tensorflow 5:07
Installing Tensorflow 5:07
5:07
Linear Regression 7:26
Linear Regression 7:26
7:26
Building a Linear Regression Model - Part 1 6:08
Building a Linear Regression Model - Part 1 6:08
6:08
Building a Linear Regression Model - Part 2 5:51
Building a Linear Regression Model - Part 2 5:51
5:51
Building a Linear Regression Model - Part 3 3:33
Building a Linear Regression Model - Part 3 3:33
3:33
Building a Linear Regression Model - Part 4 5:23
Building a Linear Regression Model - Part 4 5:23
5:23
Building a Linear Regression Model - Part 5 6:09
Building a Linear Regression Model - Part 5 6:09
6:09
Building a Linear Regression Model - Part 6 4:25
Building a Linear Regression Model - Part 6 4:25
4:25
Building a Linear Regression Model - Part 7 5:51
Building a Linear Regression Model - Part 7 5:51
5:51
Conclusion 3:06
Conclusion 3:06
3:06
Additional information
Machine Learning for Beginners with TensorFlow
