It takes the average reader 3 hours and 30 minutes to read Data Classification and Incremental Clustering in Data Mining and Machine Learning by Sanjay Chakraborty
Assuming a reading speed of 250 words per minute. Learn more
This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.
Data Classification and Incremental Clustering in Data Mining and Machine Learning by Sanjay Chakraborty is 210 pages long, and a total of 52,500 words.
This makes it 71% the length of the average book. It also has 64% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 46 minutes to read Data Classification and Incremental Clustering in Data Mining and Machine Learning aloud.
Data Classification and Incremental Clustering in Data Mining and Machine Learning 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.
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