Book Name: Pro Machine Learning Algorithms
Author: V Kishore Ayyadevara
File size: 22.2 MB
File format: PDF
Pro Machine Learning Algorithms Pdf Book Description:
Bridge the difference between a high level comprehension of how an algorithm functions and understanding the nuts and bolts to listen to the versions better. This publication will provide you the confidence and skills when creating all of the significant machine learning models. In Guru Machine Learning Algorithms, you will initially create the algorithm in Excel in order to receive a practical comprehension of all of the levers which may be tuned in a version, before implementing the versions in Python/R.
You’ll cover all the significant calculations: supervised and unsupervised learning, including linear/logistic regression; k-means clustering; PCA; recommender system; conclusion tree; arbitrary woods; GBM; along with neural networks. You’ll be studying not just the algorithms, but also the concepts of attribute technology to maximize the operation of a version. You will realize the concept together with case studies, like opinion classification, fraud detection, recommender systems, and picture recognition, so you find the best of the practice and theory for the huge bulk of the machine learning algorithms employed in business. Together with studying the calculations, you’ll also be vulnerable to conducting machine-learning versions on all the significant cloud providers.
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