{
"item_title" : "Deep Learning in Time Series Analysis",
"item_author" : [" Arash Gharehbaghi "],
"item_description" : "The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the cycle-to-cycle variations. ",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/36/732/178/0367321785_b.jpg",
"price_data" : {
"retail_price" : "180.00", "online_price" : "180.00", "our_price" : "180.00", "club_price" : "180.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Deep Learning in Time Series Analysis
Other Available Formats
Overview
The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the cycle-to-cycle variations.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780367321789
- ISBN-10: 0367321785
- Publisher: CRC Press
- Publish Date: July 2023
- Dimensions: 9.37 x 6.14 x 0.63 inches
- Shipping Weight: 1 pounds
- Page Count: 196
Related Categories
