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The Ultimate Machine Learning INTERVIEW Preparation Book


Price: $31.59
(as of Oct 13, 2024 18:14:08 UTC – Details)


500+ Topic wise, beginners to advance level, thoughtfully articulated Machine Learning interview questions and answers. [It’s one of the largest fine articulated interview questions and answers bank]

This book is designed to provide a comprehensive guide for anyone who is preparing for a machine learning interview. It covers a wide range of topics, including the basics of machine learning, algorithms, data preprocessing, feature selection, model evaluation till the deployment. The book also includes a collection of commonly asked interview questions, along with detailed explanations and examples, to help readers gain a better understanding of the concepts.

The book is organized in a way that makes it easy to follow, regardless of your level of expertise in machine learning. The first section provides a fundamental understanding of machine learning and covers the high-level essential concepts that one needs to know before diving deep into each individual topic. The later individual chapters dive into more details from beginner level interview questions to advance level.

This book is not only for individuals who are preparing for interviews but also for those who want to expand their knowledge of machine learning. It can be used as a self-study guide or as a supplementary resource for students who are studying machine learning in college. It can be a very handy book for interviewers for quick candidate evaluation.

Book covers in details interview questions and answers from beginner to advance level for below all topics,
40 ML Basics general
Missing Value Handling
Outliers
Categorical Data Encoding
Data Scaling
Imbalanced Dataset
Feature Selection
Feature Extraction
Dimensional Reduction
Bias and Variance
Overfitting and Underfitting
Cross Validation
Confusion Matrix
Hyperparameter Tunning
Evaluation Metrics
Batch and Online Learning
Linear Regression
Logistic Regression
Support Vector Machine (SVM)
Decision Tree
Random Forest
K-Nearest Neighbor (KNN)
XGBoost
Clustering
K-means
Reinforcement learning
Ensemble Learning
Machine Learning Model Deployment

Prepare and boost you confidence to land on you dream job!
Best of Luck!!

ASIN ‏ : ‎ B0BXSMNVFJ
Publication date ‏ : ‎ March 7, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 1190 KB
Simultaneous device usage ‏ : ‎ Unlimited
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 205 pages
Page numbers source ISBN ‏ : ‎ B0BXNHQ5V9

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