Finding Actionable Insights using Keras Autoencoders
Finding Actionable Insights using Keras Autoencoders, available at Free, has an average rating of 4.55, with 7 lectures, based on 80 reviews, and has 3566 subscribers.
You will learn about Learn to build a Keras Autoencoder using Python Learn to extract actionable insights from data using unsupervised and semi-supervised modeling Learn to find anomalies in data This course is ideal for individuals who are Anybody wanting to analyze data or Anybody wanting to perform anomaly detection or Anybody interested in Autoencoders and machine learning with Keras It is particularly useful for Anybody wanting to analyze data or Anybody wanting to perform anomaly detection or Anybody interested in Autoencoders and machine learning with Keras.
Enroll now: Finding Actionable Insights using Keras Autoencoders
Summary
Title: Finding Actionable Insights using Keras Autoencoders
Price: Free
Average Rating: 4.55
Number of Lectures: 7
Number of Published Lectures: 7
Number of Curriculum Items: 7
Number of Published Curriculum Objects: 7
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Learn to build a Keras Autoencoder using Python
- Learn to extract actionable insights from data using unsupervised and semi-supervised modeling
- Learn to find anomalies in data
Who Should Attend
- Anybody wanting to analyze data
- Anybody wanting to perform anomaly detection
- Anybody interested in Autoencoders and machine learning with Keras
Target Audiences
- Anybody wanting to analyze data
- Anybody wanting to perform anomaly detection
- Anybody interested in Autoencoders and machine learning with Keras
Please join me for another exciting data science class where we apply autoencoders or unsupervised learning towards the pursuit of knowledge.
Remember at the end of the day modeling and data science don’t mean much if we can’t extract actual insights to help guide our customers, our friends, the research community in the advancement of whatever it is they are after using data. Autoencoders can help you better understand your data, answer your questions, and even discover new ones! Please join me on this exciting adventure!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: About me
Lecture 3: What is an Autoencoder and what is it good for?
Lecture 4: Preparing the Open Source Statlog - German Credit Data
Lecture 5: Quick classification look with AutoML
Lecture 6: Building our Keras Autoencoder
Lecture 7: Investigating anomalies
Instructors
-
Manuel Amunategui
Data Scientist & Quantitative Developer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 9 votes
- 4 stars: 33 votes
- 5 stars: 36 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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