K-Nearest Neighbor (k-NN) & Artificial Neural Networks
Predictive Analytics
| Intermediate
- 9 videos | 38m 19s
- Includes Assessment
- Earns a Badge
Choosing the appropriate technique to deliver confident predictions can be challenging for analysts. Examine algorithms used for predictive analytics, including the K-Nearest Neighbor (k-NN) algorithm and artificial neural network modeling.
WHAT YOU WILL LEARN
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Recognize features of the k-nn algorithm
Recognize distance and weighted distance measures
Recognize proximity measures for non-numeric attributes
Implement the k-nn algorithm
Identify key features of artificial neural networks -
Recognize steps and considerations to building artificial neural networks
Recognize the purpose of nonlinear activation functions and methods to find the global minimum sse
Recognize important parameters for artificial neural networks
Implement an artificial neural network
IN THIS COURSE
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2m 55sAfter completing this video, you will be able to recognize features of the k-nearest neighbor algorithm. FREE ACCESS
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4m 44sAfter completing this video, you will be able to recognize distance and weighted distance measures. FREE ACCESS
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3. Proximity Measures for Non-numeric Attributes4m 28sAfter completing this video, you will be able to recognize proximity measures for non-numeric attributes. FREE ACCESS
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4. Implementing the k-NN Algorithm2m 43sIn this video, you will learn how to implement the k-nearest neighbors algorithm. FREE ACCESS
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5. Overview of Artificial Neural Networks5m 34sIn this video, you will learn about the key features of artificial neural networks. FREE ACCESS
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6. Basic Artificial Neural Networks4m 59sUpon completion of this video, you will be able to recognize steps and considerations for building artificial neural networks. FREE ACCESS
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7. Advanced Artificial Neural Network Concepts5m 15sAfter completing this video, you will be able to recognize the purpose of nonlinear activation functions and methods to find the global minimum sum of squared errors. FREE ACCESS
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8. Important Parameters for Artificial Neural Networks4m 53sUpon completion of this video, you will be able to recognize important parameters for artificial neural networks. FREE ACCESS
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9. Implementing an Artificial Neural Network2m 49sIn this video, you will learn how to implement a neural network. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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