Ask Bookie
{
"item_title" : "Supervised Machine Learning",
"item_author" : [" Tanya Kolosova", "Samuel Berestizhevsky "],
"item_description" : "AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML methods.",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/36/727/732/0367277328_b.jpg",
"price_data" : {
"retail_price" : "189.99", "online_price" : "189.99", "our_price" : "189.99", "club_price" : "189.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Supervised Machine Learning : Optimization Framework and Applications with SAS and R
Other Available Formats
Overview
AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML methods.
This item is Non-Returnable
Customers Also Bought
- 1
Details
- ISBN-13: 9780367277321
- ISBN-10: 0367277328
- Publisher: CRC Press
- Publish Date: September 2020
- Dimensions: 9.21 x 6.14 x 0.5 inches
- Shipping Weight: 0.96 pounds
- Page Count: 160
Related Categories
You May Also Like...
- 1
