Statistical Machine Learning
Delivery estimate
Please enter a valid 4-digit Australian postcode.
to ·
Delivery estimate
Please enter a valid 4-digit Australian postcode.
to ·
Statistical Machine Learning
Description
The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms.
Features:
- Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms
- Matrix calculus methods for supporting machine learning analysis and design applications
- Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions
- Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification
This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible.
About the Author:
Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.
Shipping & Processing
This item is in stock with our supplier and usually ships within 2–5 business days.
Processing times
- In stock: Items marked “In Stock” are on our shelves. We pick, pack and ship them within 1–2 business days.
- In stock with our supplier: Items not marked “In Stock” are held by one of our Australian or overseas suppliers. We order them in for you and they usually dispatch within 2–5 business days (3–5 for some suppliers). The estimate next to the price is for this item.
- Special orders: Some supplier items, such as specialist and imported items, titles awaiting reprint and print-on-demand titles, take longer to arrive. If your order includes one, we’ll update you as soon as we hear from our supplier.
- Supplier delays: Occasionally a supplier is delayed, or their stock information turns out to be inaccurate. We’ll keep your order open for up to 60 days. If an item hasn’t shipped or isn’t on its way to us by then, we’ll cancel that item and refund it.
How accurate is availability?
Availability is based on the stock levels our suppliers tell us they hold, and we update it regularly. If a supplier issue affects your order, we’ll let you know with an updated estimate.
Delivery
- As soon as your order ships you’ll get an email with tracking.
- Australia Post usually delivers within 2–10 business days of shipping (around 4 in metro areas and around 6 in regional areas).
- If your order has more than one item, we hold the in-stock items until everything is ready, so we can ship your whole order together in one parcel.
- Shipping cost: Free on orders over $100 within Australia, otherwise $9.95 flat rate per order however many items you buy. Free shipping applies to Australian addresses only; delivery to New Zealand is $14.95 per order.
- Check your address: If an order goes to an incorrect address you gave us, or isn’t collected and Australia Post returns it to us, you’ll need to pay the postage to send it again.
Cancellations
Need to change or cancel an order? Contact us as soon as possible at contact@bookloop.com.au or through our contact page.
- Within 30 minutes: You can change or cancel your order for a full refund within 30 minutes of placing it.
- After 30 minutes: Your order is already being processed, so it can no longer be changed or cancelled. If we can accept a late cancellation, we may offer store credit instead of a refund.
- Items in transit: Once an item is on its way, either from our supplier to us or from us to you, it can’t be cancelled. If you no longer want it once it arrives, you can return it as a change of mind, with return postage at your cost. See Returns.
- Separate orders can’t be combined once they’ve been placed, and adding or swapping items can change the delivery estimate.
- Supplier delays: Occasionally a supplier is delayed, or their stock information turns out to be inaccurate. We’ll keep your order open for up to 60 days. If an item hasn’t shipped or isn’t on its way to us by then, we’ll cancel that item and refund it.
Faulty or damaged items are always covered. See Returns.
Returns
Damaged or incorrect items (within 30 days)
If an item arrives damaged or isn’t what you ordered, contact us within 30 days of delivery. We may ask for a photo, and if we need the item back we’ll send a prepaid return label, so it costs you nothing. You’ll receive a replacement or refund, as guaranteed under the Australian Consumer Law.
Change of mind (within 30 days)
We offer a refund or store credit for change of mind within 30 days of purchase when:
- you have your proof of purchase;
- the item is unused and in its original condition and packaging;
- it isn’t a sale item, special order, custom item or gift voucher.
You pay the postage to return change-of-mind items. Change-of-mind returns aren’t available for print-on-demand titles or bulk orders with special pricing.
Returned to sender
If an order is sent to an incorrect address you gave us, or isn’t collected and Australia Post returns it to us, you’ll need to pay the postage to send it again.