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Algorithms of the Intelligent Web is a hands-on Applied Machine Learning & AI course that teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications and website logs.
Unlimited Duration
March 11, 2021
In this course you will learn about:
· Machine learning essentials, as well as deep learning and neural networks
· How recommendation engines work
· Building applications for the intelligent web
· Extracting structure from data: clustering and transforming your data
· Recommending relevant content
· Classification: placing things where they belong
· Relevant Case Study: click prediction for online advertising
· Making the right Machine Learning choices for your web apps
· The future of the intelligent web
Course Curriculum
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- An intelligent algorithm in action: Google Now 00:00:00
- The intelligent-algorithm lifecycle 00:00:00
- Further examples of intelligent algorithms 00:00:00
- Things that intelligent applications are not 00:00:00
- Classes of intelligent algorithm 00:00:00
- Evaluating the performance of intelligent algorithms 00:00:00
- Important notes about intelligent algorithms 00:00:00
- Extracting structure from data: clustering and transforming your data 00:00:00
- Data, structure, bias, and noise 00:00:00
- The curse of dimensionality 00:00:00
- K-means 00:00:00
- The relationship between k-means and GMM 00:00:00
- Transforming the data axis 00:00:00
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- Setting the scene: an online movie store 00:00:00
- Distance and similarity 00:00:00
- How do recommendation engines work? 00:00:00
- User-based collaborative filtering 00:00:00
- Model-based recommendation using singular value decomposition 00:00:00
- The Netflix Prize 00:00:00
- Evaluating your recommender 00:00:00
- The need for classification 00:00:00
- An overview of classifiers algorithms 00:00:00
- Fraud detection with logistic regression 00:00:00
- Are your results credible? 00:00:00
- Classification with very large datasets 00:00:00
- An intuitive approach to deep learning 00:00:00
- Neural networks 00:00:00
- The perceptron 00:00:00
- Multilayer perceptrons 00:00:00
- backpropagation 00:00:00
- Going deeper: from multilayer neural networks to deep learning 00:00:00
- Future applications of the intelligent web 00:00:00
- Social implications of the intelligent web 00:00:00
Course Reviews
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