Search result for Supervised learning method Online Courses & Certifications
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Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Key Concepts in Machine Learning Module 2: Supervised Machine Learning - Part 1 Introduction to Supervised Machine Learning Module 4: Supervised Machine Learning - Part 2...
Machine Learning Technical Interview
by Vladimir Poliakov- 3.6
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5 hours on-demand video
Get ready for a technical Machine Learning interview / Data Science interview by mastering commonly asked questions! This course is designed to become a convenient resource for preparing for a technical machine learning interview. After processing the data in the next section, we will move on to the supervised machine learning methods. Handle advanced questions on supervised learning...
$11.99
Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
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Approx. 22 hours to complete
You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. -Understand how to use supervised learning approaches to approximate value functions -Implement a policy gradient method (called Actor-Critic) on a discrete state environment Framing Value Estimation as Supervised Learning...
All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]
by Rishi Bansal- 0.0
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17.5 hours on-demand video
Complete hands-on Machine Learning Course with Data Science, NLP, Deep Learning and Artificial Intelligence No prior understanding of machine learning is required. Chapter - Supervised Learning: Regression Chapter - Supervised Learning: Classification - Partitionaing Algorithm: K-Means Algorithm, Random Initialization Trap, Elbow Method Chapter: Deploy Machine Learning Model using Flask Chapter: Non-Linear Supervised Algorithm: Decision Tree and Support Vector Machines...
$12.99
Practical Reinforcement Learning
by Pavel Shvechikov , Alexander Panin- 4.3
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Approx. 26 hours to complete
Welcome to the Reinforcement Learning course. Reinforcement learning vs all Crossentropy method Approximate crossentropy method More on approximate crossentropy method Model-free reinforcement learning Supervised & Reinforcement Learning Combining supervised & reinforcement learning...
Land use Land cover classification GIS, ERDAS, ArcGIS, ENVI
by Lakhwinder Singh- 4.5
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6.5 hours on-demand video
Image classification with Machine learning also covered in this course. Note: Each Land Use method Section covers different Method from the beginning, So before starting landuse watch the entire course. Then start land use with a method that you think easy for you and best fit for your study area. Learn all best method of classification....
$12.99
Advanced AI: Deep Reinforcement Learning in Python
by Lazy Programmer Team- 4.6
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10.5 hours on-demand video
We’ve seen that reinforcement learning is an entirely different kind of machine learning than supervised and unsupervised learning. Supervised and unsupervised machine learning algorithms are for analyzing and making predictions about data, whereas reinforcement learning is about training an agent to interact with an environment and maximize its reward. To train effective learning agents, we’ll need new techniques....
$29.99
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Unsupervised Deep Learning in Python
by Lazy Programmer Team- 4.5
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8.5 hours on-demand video
This course is the next logical step in my deep learning, data science, and machine learning series. These are yet another popular unsupervised neural network, that you can use in the same way as autoencoders to pretrain your supervised deep neural network. This method is also known as Contrastive Divergence or CD-k....
$34.99
24h Pro data science in R
by Francisco Juretig- 3.6
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18.5 hours on-demand video
This course explores several modern machine learning and data science techniques in R. We showcase a wide array of statistical and machine learning techniques. Supervised ML problems using the CARET packageData processing using sqldf, caret, etc....
$12.99
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
The Scientific Method The Scientific Method Supervised and Unsupervised Learning Basics of Machine Learning Practical Machine Learning A Review of Supervised Learning and Regression Machine Learning Solutions Discussion Intro Machine Learning Solutions...
