Pro Machine Learning Algorithms.
Picture Of The Book:
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| Pro Machine Learning Algorithms. |
About The Book:
It will cover all major algorithms, you will also be exposed to the latest in deep learning through CNN, RNN and word2vec networks for text extraction. You will learn not only the algorithms but also the concepts of feature geometry to maximize the performance of the model. You'll see theory along with case studies, such as morale classification, fraud detection, recommendation systems, and image recognition so that you get the best of theory and practice for the vast majority of machine learning algorithms used in the industry. Besides learning algorithms, you will also be exposed to running machine learning models on all major cloud service providers.
Information About The Book:
Title: Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R.
Language: English.
Size: 22.2 Mb.
Pages: 379.
Format: Pdf.
Year: 2018.
Edition: 1.
Author: V Kishore Ayyadevara.
Contents Of The Book:
Chapter 1: Basics of Machine Learning.
Chapter 2: Linear Regression.
Chapter 3: Logistic Regression.
Chapter 4: Decision Tree.
Chapter 5: Random Forest.
Chapter 7: Artificial Neural Network.
Chapter 8: Word2vec.
Chapter 9: Convolutional Neural Network.
Chapter 10: Recurrent Neural Network.
Chapter 11: Clustering.
Chapter 12: Principal Component Analysis.
Chapter 13: Recommender Systems.
Chapter 14: Implementing Algorithms in the Cloud.
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