Regression Model Interview Mastery : 200+ Questions to Crack Machine Learning Interviews
Language: English
Published by Independently Published Mai 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 29.90
Quantity: 2 available
Add to basketItem description from seller
Neuware - Regression Model Interview Mastery200+ Questions to Crack Machine Learning InterviewsBreak into machine learning roles with confidenceRegression is one of the most important topics in machine learning interviews. However, many candidates struggle to explain concepts clearly, choose the right models, and solve real-world problems under pressure.This book is designed to help you master regression step by step and build true interview confidence.Learn regression the practical wayThis is not just a theory-heavy book. It is a structured, interview-focused guide that teaches you how to think, explain, and apply concepts in real scenarios.You will learn: - How regression models work in simple terms- How to explain answers clearly in interviews- How to avoid common mistakesWhat you will learn- Linear regression and intuition- Gradient descent and optimization- Loss functions such as MSE, MAE, and RMSE- Multiple regression and feature interpretation- Regularization including Ridge, Lasso, and Elastic Net- Bias and variance tradeoff- Polynomial and nonlinear regression- Regression trees and advanced models- kNN regression and Support Vector Regression- Random Forest and Gradient Boosting- Model evaluation and performance analysisBuilt for interviewsThis book prepares you for: - Machine learning interviews- Data science roles- Technical interview rounds- Real-world problem solvingAvoid common mistakesLearn how to avoid: - Misunderstanding evaluation metrics- Overfitting complex models- Choosing incorrect loss functions- Misinterpreting model resultsWho this book is for- Beginners learning machine learning- Students preparing for interviews- Data science candidates- Professionals improving fundamentalsIf you want to stand outKnowing concepts is not enough. You must be able to explain clearly, think logically, and solve problems confidently.This book helps you achieve that.Do not just prepare for interviews. Master them. …
Seller Inventory # 9798198812765
- Title
- Regression Model Interview Mastery : 200+ Questions to Crack Machine Learning Interviews
- Author
- Md Johirul Islam
- Publisher
- Independently Published Mai 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798198812765
- Item weight
- 250 grams
- Dimensions
- 229x152x10 mm
Regression Model Interview Mastery
200+ Questions to Crack Machine Learning Interviews
Break into machine learning roles with confidence
Regression is one of the most important topics in machine learning interviews. However, many candidates struggle to explain concepts clearly, choose the right models, and solve real-world problems under pressure.
This book is designed to help you master regression step by step and build true interview confidence.
Learn regression the practical way
This is not just a theory-heavy book. It is a structured, interview-focused guide that teaches you how to think, explain, and apply concepts in real scenarios.
You will learn:
- How regression models work in simple terms
- How to explain answers clearly in interviews
- How to avoid common mistakes
What you will learn
- Linear regression and intuition
- Gradient descent and optimization
- Loss functions such as MSE, MAE, and RMSE
- Multiple regression and feature interpretation
- Regularization including Ridge, Lasso, and Elastic Net
- Bias and variance tradeoff
- Polynomial and nonlinear regression
- Regression trees and advanced models
- kNN regression and Support Vector Regression
- Random Forest and Gradient Boosting
- Model evaluation and performance analysis
Built for interviews
This book prepares you for:
- Machine learning interviews
- Data science roles
- Technical interview rounds
- Real-world problem solving
Avoid common mistakes
Learn how to avoid:
- Misunderstanding evaluation metrics
- Overfitting complex models
- Choosing incorrect loss functions
- Misinterpreting model results
Who this book is for
- Beginners learning machine learning
- Students preparing for interviews
- Data science candidates
- Professionals improving fundamentals
If you want to stand out
Knowing concepts is not enough. You must be able to explain clearly, think logically, and solve problems confidently.
This book helps you achieve that.
Do not just prepare for interviews. Master them.
"Synopsis" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 7 to 10 business days | 5 to 7 business days |
|---|---|---|
| First item | £ 29.67 | £ 38.14 |
Payment methods
- Bank Wire Transfer
- Check
- Paypal
Store description
Das Unternehmen AHA-BUCH GmbH: Seit der Gründung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisgünstig wie möglich ihren Bücherwunsch zu erfüllen. Unsere Firma beschäftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine Wünsche! Auf über 3700 m2 Fläche haben wir über 100.000 Bücher, Modernes Antiquariat und Spiele auf Lager.
Specialty
Kinderbücher & Kinderhör Casetten, German Books, Software, Natur & Tiere, Ratgeber, Sachbücher, Englische Bücher, Medizin & Gesundheit, Universität & StudiumSeller's business information
AHA-BUCH GmbH
Garlebsen 48
Einbeck, Germany 37574
Terms of sale
Imprint
Seller Info:
AHA-BUCH GmbH
represented by the managing director Christel Glass
Garlebsen 48
37574 Einbeck
Deutschland
Telefon: 055639996039
Telefax: 055639995974
E-Mail: abebooks@aha-buch.de
USt-IdNr.: DE261904229
registered at Commercial register Amtsgerichtes Göttingen
Handelsregisternummer HRB 200691
Alternative dispute resolution:
The European Commission provides a platform for out-of-court online dispute resolution (ODR platform), which can be accessed under https://ec.europa.eu/odr.
We have been a member of the "FairCommerce" initiative since 25.05.2018.
For more information, see www.fair-commerce.de.
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 AHA-BUCH GmbH, Einbeck, Germany, 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.
Shipping terms
We ship your order after we received them
for articles on hand latest 24 hours,
for articles with overnight supply latest 48 hours.
In case we need to order an article from our supplier our dispatch time depends on the reception date of the articles, but the articles will be shipped on the same day.
Our goal is to send the ordered articles in the fastest, but also most efficient and secure way to our customers.