Search result for Types of unsupervised learning Online Courses & Certifications
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Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. Explain the kinds of problems suitable for Unsupervised Learning approaches This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. Introduction to Unsupervised Learning and K Means...
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. Explain the kinds of problems suitable for Unsupervised Learning approaches This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. Introduction to Unsupervised Learning and K Means...
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 12 hours to complete
Class imbalances can seriously affect the validity of your machine learning models, and the mitigation of bias in data is essential to reducing the risk associated with biased models. Employ unsupervised learning techniques using pipelines as part of the AI workflow Introduction to Unsupervised learning An Overview of Unsupervised Learning...
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
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5 Weeks
This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. The difference between the two main types of machine learning methods: supervised and unsupervised Unsupervised learning algorithms, including Clustering and Dimensionality Reduction Real-life examples of the different ways machine learning affects society...
$99
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
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5 Weeks
This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. The difference between the two main types of machine learning methods: supervised and unsupervised Unsupervised learning algorithms, including Clustering and Dimensionality Reduction Real-life examples of the different ways machine learning affects society...
$99
Practical Machine Learning on H2O
by Darren Cook- 4.5
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Approx. 24 hours to complete
Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms....
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
After this course, if you have followed the courses of the IBM Specialization in order, you will have considerable practice and a solid understanding in the main types of Machine Learning which are: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Explain the kinds of problems suitable for Unsupervised Learning approaches...
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Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
By the end of the course, you’ll apply clustering and dimensionality reduction in Machine Learning using Python as well as Master Unsupervised Learning to solve real-world problems! The first course, Hands-On Unsupervised Learning with Python, covers usage of Python to apply market basket analysis, PCA and dimensionality reduction, as well as cluster algorithms....
$12.99
Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
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Approx. 13 hours to complete
The majority of data in the world is unlabeled and unstructured. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. • understand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Unsupervised Deep Learning Models Unsupervised Deep Learning Models (Cont'd) and scaling...
Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
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Approx. 21 hours to complete
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms....
