Machine Learning with PyTorch & Scikit-Learn: Crash Course 2027: A Hands-On Guide to Building, Evaluating, and Deploying Python Models
Language: English
Published by Independently published, 2026
- Softcover
- New
Seller: California Books, Miami, FL, U.S.A.California Books
AbeBooks seller since October 27, 2023
Condition: New
£ 21.61
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand.
Seller Inventory # I-9798164511388
- Title
- Machine Learning with PyTorch & Scikit-Learn: Crash Course 2027: A Hands-On Guide to Building, Evaluating, and Deploying Python Models
- Author
- McCLURE, BLAXILL; SCAWEN, IAN
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798164511388
Ninety-five percent accuracy.
That is what a model achieves when it predicts "no" for every single case in a dataset where only five percent of rows are positive. It is also a model that identifies nothing, catches no fraud, and diagnoses no patient. That one piece of arithmetic is why this book teaches you to read a confusion matrix before you read an accuracy score, why it asks you to state the threshold that produced a label, and why it refuses to accept a reported metric without the baseline and the cross-validation spread beside it. Machine learning is full of numbers that look impressive and mean very little. Learning to tell them apart is the actual skill.
If that distinction between a figure that looks good and a result you can defend is one you want to build into your own practice, this book was written for you.
Machine Learning with PyTorch & Scikit-Learn: Crash Course 2027 is a project-driven guide that takes you from a clean environment to a deployed, documented model. Every chapter adds one component to a working system, and every subchapter ends with code you have run yourself rather than syntax you have read. You will build preprocessing pipelines that cannot leak, regularized regression and classification models with honest evaluation protocols, density-based and prototype-based clustering, convolutional networks for images, fine-tuned transformers for text, and a served API that reports its own model version.
What you gain:
· The ability to spot leakage, selection optimism, and class imbalance before they reach a report.
· A repeatable workflow: frame the question, set the success criterion, split by deployment setting, evaluate against a baseline, diagnose residuals and confusion matrices, persist the full prediction path, monitor for drift.
· Artifacts that another person can load and reproduce, with recorded versions, thresholds, and feature contracts.
· The judgment to know when a neural network is the wrong tool, and the evidence to justify it when it is right.
This is not a passive read. Each subchapter carries exercises that force you to break something and repair it, common pitfalls drawn from the failures that actually occur, and FAQs that answer the questions readers raise at exactly the point they arise. You will be asked to compute a population stability index by hand, to plot a residual against a fitted value and explain the curve, and to reconstruct your own repository from its documentation alone.
If you want to stop running tutorials and start shipping models that hold up under questioning, open Chapter 1.1 and build the environment. The work starts on the first page.
"Synopsis" may belong to another edition of this title.
California Books
Miami, FL, U.S.A.
AbeBooks seller since October 27, 2023
Shipping rates within U.S.A.
| Item | 3 to 7 business days | 2 to 5 business days |
|---|---|---|
| First item | £ 2.25 | £ 12.74 |
Payment methods
Store description
We have 20 years experience selling books worldwide! Friendly customer support. Your satisfaction guaranteed!
Specialty
All authorized categoriesSeller's business information
Miramar International Services LLC
FL, U.S.A.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to California Books, Fort Wayne, Indiana, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.