Search result for Examples of supervised learning Online Courses & Certifications
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Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
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Approx. 13 hours to complete
Deep learning added a huge boost to the already rapidly developing field of computer vision. The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. Examples of visual object tracking methods Examples of multiple object tracking methods...
Data Science with R - Beginners
by SimpliCode Point- 3.3
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6 hours on-demand video
This training is an introduction to the concept of Data science and its application using R programming language This training is an introduction to the concept of Data science domain and its application using R programming language. The web is full of apps that are driven by data. Supervised Learning Unsupervised Learning...
$12.99
R: Neural Nets and CNN Architecture in R - Masterclass!
by Packt Publishing- 3.6
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6 hours on-demand video
At the end of the course, you will learn to implement neural network models in your applications with the help of practical examples from companies using neural nets. Here we understand how Neural Networks work and the benefits they offer for supervised and well as unsupervised learning before building our very own neural network....
$11.99
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
by Eric Siegel- 4.8
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Approx. 14 hours to complete
– Reporting on the predictive performance of machine learning and the profit it generates MODULE 1 - The Impact of Machine Learning Participate in the deployment of machine learning Report on the predictive performance of machine learning and the profit it generates Understand the potential of machine learning and avoid the false promises of “artificial intelligence”...
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
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Approx. 9 hours to complete
So far we have developed techniques for regression and classification, but how low should the error of a classifier be (for example) before we decide that the classifier is "good enough"? Or how do we decide which of two regression algorithms is better? Guidelines on the Implementation of Predictive Pipelines Understand the definitions of simple error measures (e....
An Introduction to Machine Learning for Data Engineers
by Mike West- 4.3
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1 hour on-demand video
The vast majority of applied machine learning is supervised machine learning. Supervised machine learning is a type of machine learning that involves building models from data that exists. Machine learning is one of the hottest careers on the planet and understanding the basics is required to attaining a job as a data engineer....
$14.99
Feature Engineering
by Google Cloud Training- 4.5
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Approx. 18 hours to complete
Want to know how you can improve the accuracy of your ML models? An Overview of Feature Engineering Features Should Have Enough Examples Lab Intro: Too Much of a Good Thing Lab Solution: Too Much of a Good Thing Compare the key required aspects of a good feature...
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Android Machine Learning with TensorFlow lite in Java/Kotlin
by Hamza Asif- 3.6
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5.5 hours on-demand video
You don't need any prior knowledge of Machine Learning to start this course. Basics of Machine Learning and Deep Learning For each of these examples, we will firstly train Machine Learning model then build Android Application We will start by learning about the basics of the Python programming language. Then we look at Supervised learning in detail....
$12.99
Foundations: Data, Data, Everywhere
by Google Career CertificatesTop Instructor- 4.8
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Approx. 20 hours to complete
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. Learning Log: Reflect on the data analysis process Self-Reflection: Business use of data Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking...
Getting started with TensorFlow 2
by Dr Kevin Webster- 4.9
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Approx. 26 hours to complete
In addition there is a series of automatically graded programming assignments for you to consolidate your skills. At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop an image classifier deep learning model from scratch....
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