Title
Cracking The Machine Learning Interview,Used
Delivery time: 8-12 business days (International)
A breakthrough in machine learning would be worth ten Microsofts.' Bill GatesDespite being one of the hottest disciplines in the Tech industry right now, Artificial Intelligence and Machine Learning remain a little elusive to most.The erratic availability of resources online makes it extremely challenging for us to delve deeper into these fields. Especially when gearing up for job interviews, most of us are at a loss due to the unavailability of a complete and uncondensed source of learning.Cracking the Machine Learning InterviewEquips you with 225 of the best Machine Learning problems along with their solutions.Requires only a basic knowledge of fundamental mathematical and statistical concepts.Assists in learning the intricacies underlying Machine Learning concepts and algorithms suited to specific problems.Uniquely provides a manifold understanding of both statistical foundations and applied programming models for solving problems.Discusses key points and concrete tips for approaching real life system design problems and imparts the ability to apply them to your day to day work.This book covers all the major topics within Machine Learning which are frequently asked in the Interviews. These include:Supervised and Unsupervised LearningClassification and RegressionDecision TreesEnsemblesKNearest NeighborsLogistic RegressionSupport Vector MachinesNeural NetworksRegularizationClusteringDimensionality ReductionFeature ExtractionFeature EngineeringModel EvaluationNatural Language ProcessingReal life system design problemsMathematics and Statistics behind the Machine Learning AlgorithmsVarious distributions and statistical testsThis book can be used by students and professionals alike. It has been drafted in a way to benefit both, novices as well as individuals with substantial experience in Machine Learning.Following Cracking The Machine Learning Interview diligently would equip you to face any Machine Learning Interview.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What topics does 'Cracking The Machine Learning Interview' cover? A: 'Cracking The Machine Learning Interview' covers major topics commonly asked in interviews, including Supervised and Unsupervised Learning, Classification, Regression, Decision Trees, Neural Networks, Clustering, and more.
- Q: Who is the author of this book? A: The book is authored by Nitin Suri.
- Q: What is the publication date of 'Cracking The Machine Learning Interview'? A: The book was published on December 18, 2018.
- Q: Is this book suitable for beginners in Machine Learning? A: Yes, this book is designed for both novices and individuals with substantial experience in Machine Learning.
- Q: How many pages does the book have? A: 'Cracking The Machine Learning Interview' has a total of 112 pages.
- Q: What type of binding does this book have? A: The book is available in a paperback binding.
- Q: What kind of problems does this book help to solve? A: The book provides 225 Machine Learning problems along with their solutions, helping readers understand practical applications in interviews.
- Q: Does the book cover mathematical concepts related to Machine Learning? A: Yes, it includes discussions on the mathematical and statistical foundations behind Machine Learning algorithms.
- Q: Is this book useful for job interviews? A: Absolutely, it equips readers with the knowledge and problem-solving skills needed to tackle Machine Learning job interviews.
- Q: What is the condition of the book? A: The book is in new condition.