How Long to Read Applied Unsupervised Learning with Python

How Long Does it Take to Read Applied Unsupervised Learning with Python?

It takes the average reader 8 hours and 8 minutes to read Applied Unsupervised Learning with Python by Benjamin Johnston

Assuming a reading speed of 250 words per minute. Learn more

Description

Design clever algorithms that can uncover interesting structures and hidden relationships in unstructured, unlabeled data Key FeaturesLearn how to select the most suitable Python library to solve your problemCompare k-Nearest Neighbor (k-NN) and non-parametric methods and decide when to use themDelve into the applications of neural networks using real-world datasetsBook Description Unsupervised learning is a useful and practical solution in situations where labeled data is not available. Applied Unsupervised Learning with Python guides you on the best practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data. The course begins by explaining how basic clustering works to find similar data points in a set. Once you are well versed with the k-means algorithm and how it operates, you’ll learn what dimensionality reduction is and where to apply it. As you progress, you’ll learn various neural network techniques and how they can improve your model. While studying the applications of unsupervised learning, you will also understand how to mine topics that are trending on Twitter and Facebook and build a news recommendation engine for users. You will complete the course by challenging yourself through various interesting activities such as performing a Market Basket Analysis and identifying relationships between different merchandises. By the end of this course, you will have the skills you need to confidently build your own models using Python. What you will learnUnderstand the basics and importance of clusteringBuild k-means, hierarchical, and DBSCAN clustering algorithms from scratch with built-in packagesExplore dimensionality reduction and its applicationsUse scikit-learn (sklearn) to implement and analyse principal component analysis (PCA)on the Iris datasetEmploy Keras to build autoencoder models for the CIFAR-10 datasetApply the Apriori algorithm with machine learning extensions (Mlxtend) to study transaction dataWho this book is for This course is designed for developers, data scientists, and machine learning enthusiasts who are interested in unsupervised learning. Some familiarity with Python programming along with basic knowledge of mathematical concepts including exponents, square roots, means, and medians will be beneficial.

How long is Applied Unsupervised Learning with Python?

Applied Unsupervised Learning with Python by Benjamin Johnston is 483 pages long, and a total of 122,199 words.

This makes it 163% the length of the average book. It also has 149% more words than the average book.

How Long Does it Take to Read Applied Unsupervised Learning with Python Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 7 minutes to read Applied Unsupervised Learning with Python aloud.

What Reading Level is Applied Unsupervised Learning with Python?

Applied Unsupervised Learning with Python is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Applied Unsupervised Learning with Python?

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