Title
Cracking The Machine Learning Interview
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
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.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does the book have? A: This book has one hundred twelve pages. It covers a wide range of topics in machine learning.
- Q: What is the binding type of this book? A: The book is available in paperback binding. This makes it easy to handle and read.
- Q: What are the dimensions of the book? A: The book measures six inches in length, zero point twenty-eight inches in thickness, and nine point zero two inches in height. These dimensions make it portable.
- Q: How do I use this book for interviews? A: You can use the book as a study guide for machine learning interviews. It provides problems and solutions tailored for interview preparation.
- Q: Is this book suitable for beginners? A: Yes, it is suitable for beginners as well as experienced individuals. The content is designed to benefit a range of skill levels.
- Q: What prior knowledge do I need to read this book? A: You only need a basic understanding of fundamental mathematical and statistical concepts. This foundational knowledge is sufficient to grasp the material.
- Q: How should I store this book? A: Store the book in a dry place, away from direct sunlight. This will help maintain its condition over time.
- Q: Can I clean the book if it gets dirty? A: Yes, you can gently wipe the cover with a damp cloth. Avoid using harsh chemicals to ensure the book remains intact.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or exchange. Most sellers offer a return policy for such cases.
- Q: Is this book good for advanced machine learning topics? A: Yes, it covers both basic and advanced topics in machine learning. It includes complex concepts suitable for experienced readers.
- Q: What types of machine learning does this book cover? A: The book covers supervised and unsupervised learning, classification, regression, and more. It provides a comprehensive overview of major machine learning topics.
- Q: Does this book include practical examples? A: Yes, it includes practical examples and concrete tips for system design problems. This helps in applying theoretical knowledge to real-world scenarios.
- Q: Who is the author of this book? A: The author of the book is Nitin Suri. He provides insights based on his expertise in machine learning.
- Q: What genre does this book belong to? A: The book belongs to the Intelligence and Semantics genre. It focuses on machine learning and artificial intelligence.
- Q: Are there any exercises in the book? A: Yes, the book includes two hundred twenty-five machine learning problems with solutions. These exercises are designed to enhance understanding and practice.