What you will learn
- Introduce the core idea of teaching a computer to learn concepts using data—without being explicitly programmed.
- Linear regression predicts a real-valued output based on an input value
- This optional module provides a refresher on linear algebra concepts. Basic understanding of linear algebra is necessary for the rest of the course, especially as we begin to cover models with multiple variables.
- How linear regression can be extended to accommodate multiple input features. Practices for implementing linear regression.
- Designed to help you understand how to implement the learning algorithms in practice
- Introduce the notion of classification, the cost function for logistic regression, and the application of logistic regression to multi-class classification.
- Introduce regularization, which helps prevent models from overfitting the training data.
- Neural Networks: Representation
- Introduce the backpropagation algorithm that is used to help learn parameters for a neural network.
- Advice for Applying Machine Learning
- How to understand the performance of a machine learning system with multiple parts, and also how to deal with skewed data.
- The idea and intuitions behind SVMs and discuss how to use it in practice.
- We discuss the k-Means algorithm for clustering that enable us to learn groupings of unlabeled data points.
- Show how it can be used for data compression to speed up learning algorithms as well as for visualizations of complex datasets.
- How a dataset can be modeled using a Gaussian distribution, and how the model can be used for anomaly detection.
- Recommender algorithms such as the collaborative filtering algorithm and low-rank matrix factorization.
- How to apply the machine learning algorithms with large datasets.
- How to apply the machine learning algorithms with large datasets.
After completing each course in specialization and complete the hands-on project, you’ll earn a Certificate.
Course Rating : 4.9
Can I download Machine Learning Free Course – Stanford University course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Machine Learning Free Course – Stanford University course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
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