Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

Table of Contents
Chapter 5: Deep Learning and Neural Networks99
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Backpropagation100
Backpropagation Approach100
Generalized Delta Rule100
Update of Output Layer Weights101
Update of Hidden Layer Weights102
BPN Summary103
Backpropagation Algorithm104
Other Algorithms106
TensorFlow106
Recurrent Neural Network113
Chapter 6: Time Series121
Classification of Variation121
Analyzing a Series Containing a Trend121
Curve Fitting122
Removing Trends from a Time Series123
Analyzing a Series Containing Seasonality124
Removing Seasonality from a Time Series125
By Filtering125
By Differencing126
Transformation126
To Stabilize the Variance126
To Make the Seasonal Effect Additive127
To Make the Data Distribution Normal127
Stationary Time Series128
Stationary Process128
Autocorrelation and the Correlogram129
Estimating Autocovariance and Autocorrelation Functions129