Download Pro Machine Learning Algorithms pdf
Pro Machine Learning Algorithms
Picture Of The Book:
Pro Machine Learning Algorithms
About The Book:
It will cover every significant calculation, you will likewise be presented to the most recent in profound learning through CNN, RNN and word2vec systems for content extraction. You will learn the calculations as well as the ideas of highlight geometry to amplify the presentation of the model. You'll see hypothesis alongside contextual investigations, for example, spirit order, misrepresentation identification, proposal frameworks, and picture acknowledgment with the goal that you bamboozle hypothesis and practice for by far most of AI calculations utilized in the business. Other than learning calculations, you will likewise be presented to running AI models on all significant cloud specialist organizations.
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.
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.