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Title: GitHub - SeedML/Cracking_The_Machine_Learning_Interview: (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of. · GitHub

Open Graph Title: GitHub - SeedML/Cracking_The_Machine_Learning_Interview: (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.

X Title: GitHub - SeedML/Cracking_The_Machine_Learning_Interview: (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.

Description: (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of. - GitHub - SeedML/Cracking_The_Machine_Learning_Interview: (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.

Open Graph Description: (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went...

X Description: (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the arti...

Opengraph URL: https://github.com/SeedML/Cracking_The_Machine_Learning_Interview

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230 Commitshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/commits/master/
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01_Linear_Algebrahttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/01_Linear_Algebra
01_Linear_Algebrahttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/01_Linear_Algebra
02_Numerical_Optimizationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/02_Numerical_Optimization
02_Numerical_Optimizationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/02_Numerical_Optimization
03_Basics_of_Probability_and_Information_Theoryhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/03_Basics_of_Probability_and_Information_Theory
03_Basics_of_Probability_and_Information_Theoryhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/03_Basics_of_Probability_and_Information_Theory
04_Confidence_Intervalhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/04_Confidence_Interval
04_Confidence_Intervalhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/04_Confidence_Interval
05_Learning_Theoryhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/05_Learning_Theory
05_Learning_Theoryhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/05_Learning_Theory
06_Feature_Engineeringhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/06_Feature_Engineering
06_Feature_Engineeringhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/06_Feature_Engineering
07_Curse_Of_Dimensionalityhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/07_Curse_Of_Dimensionality
07_Curse_Of_Dimensionalityhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/07_Curse_Of_Dimensionality
08_Universal_Approximation_of_Neural_Networkshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/08_Universal_Approximation_of_Neural_Networks
08_Universal_Approximation_of_Neural_Networkshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/08_Universal_Approximation_of_Neural_Networks
09_Deep_Learning_Motivationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/09_Deep_Learning_Motivation
09_Deep_Learning_Motivationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/09_Deep_Learning_Motivation
10_Support_Vector_Machinehttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/10_Support_Vector_Machine
10_Support_Vector_Machinehttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/10_Support_Vector_Machine
11_Bayesian_Machine_Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/11_Bayesian_Machine_Learning
11_Bayesian_Machine_Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/11_Bayesian_Machine_Learning
12_Regularizationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/12_Regularization
12_Regularizationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/12_Regularization
13_Evaluation_of_Machine_Learning_Systemshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/13_Evaluation_of_Machine_Learning_Systems
13_Evaluation_of_Machine_Learning_Systemshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/13_Evaluation_of_Machine_Learning_Systems
14_Clusteringhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/14_Clustering
14_Clusteringhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/14_Clustering
15_Dimensionality_Reductionhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/15_Dimensionality_Reduction
15_Dimensionality_Reductionhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/15_Dimensionality_Reduction
16_Basics_of_Natural_Language_Processinghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/16_Basics_of_Natural_Language_Processing
16_Basics_of_Natural_Language_Processinghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/16_Basics_of_Natural_Language_Processing
17_Some_basic_Questionshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/17_Some_basic_Questions
17_Some_basic_Questionshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/17_Some_basic_Questions
18_Optimization_Procedureshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/18_Optimization_Procedures
18_Optimization_Procedureshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/18_Optimization_Procedures
19_Sequence_Modelinghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/19_Sequence_Modeling
19_Sequence_Modelinghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/19_Sequence_Modeling
20_Autoencodershttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/20_Autoencoders
20_Autoencodershttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/20_Autoencoders
21_Representation_Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/21_Representation_Learning
21_Representation_Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/21_Representation_Learning
22_Monte_Carlo_Methodshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/22_Monte_Carlo_Methods
22_Monte_Carlo_Methodshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/22_Monte_Carlo_Methods
23_Generative_Modelshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/23_Generative_Models
23_Generative_Modelshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/23_Generative_Models
24_Reinforcement_Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/24_Reinforcement_Learning
24_Reinforcement_Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/tree/master/24_Reinforcement_Learning
README.mdhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/README.md
README.mdhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/README.md
crackingTheMachineLearningInterviewCover.pnghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/crackingTheMachineLearningInterviewCover.png
crackingTheMachineLearningInterviewCover.pnghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/crackingTheMachineLearningInterviewCover.png
READMEhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#solutions-on-cracking-the-machine-learning-interview
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#--------currently-under-construction--------
https://medium.com/subhrajit-roy/cracking-the-machine-learning-interview-1d8c5bb752d8https://medium.com/subhrajit-roy/cracking-the-machine-learning-interview-1d8c5bb752d8
https://medium.com/subhrajit-roy/cracking-the-machine-learning-interview-1d8c5bb752d8
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#contents
Linear Algebrahttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Linear-Algebra
Numerical Optimizationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Numerical-Optimization
Basics of Probability and Information Theoryhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Basics-of-Probability-and-Information-Theory
Confidence Intervalhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Confidence-Interval
Learning Theoryhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Learning-Theory
Model and Feature Selectionhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Model-and-Feature-Selection
Curse of dimensionalityhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Curse-of-Dimensionality
Universal approximation of neural networkshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Universal-Approximation-of-Neural-Networks
Deep Learning motivationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Deep-Learning-Motivation
Support Vector Machinehttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Support-Vector-Machine
Bayesian Machine Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Bayesian-Machine-Learning
Regularizationhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Regularization
Evaluation of Machine Learning systemshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Evaluation-of-Machine-Learning-Systems
Clusteringhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Clustering
Dimensionality Reductionhttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Dimensionality-Reduction
Basics of Natural Language Processinghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Basics-of-Natural-Language-Processing
Some basic questionshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Some-basic-questions
Optimization Procedureshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Optimization-Procedures
Sequence Modelinghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Sequence-Modeling
Autoencodershttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Autoencoders
Representation Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Representation-Learning
Monte Carlo Methodshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Monte-Carlo-Methods
Generative Modelshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Generative-Models
Reinforcement Learninghttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Reinforcement-Learning
Probabilistic Graphical Modelshttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Probabilistic-Graphical-Models
Computational Logichttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Computational-Logic
Linear Algebrahttps://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/01_Linear_Algebra/#Linear-Algebra
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#linear-algebra
(Return back to Contents)https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Contents
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/01_Linear_Algebra/linear_algebra.png
What are scalars, vectors, matrices, and tensors?https://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/01_Linear_Algebra/#2-What-are-scalars-vectors-matrices-and-tensors
What is a norm? What is L1, L2 and L infinity norm?https://github.com/SeedML/Cracking_The_Machine_Learning_Interview
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#numerical-optimization
(Return back to Contents)https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Contents
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/02_Numerical_Optimization/optimization_cover.png
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#basics-of-probability-and-information-theory
(Return back to Contents)https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Contents
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/03_Basics_of_Probability_and_Information_Theory/Basics_of_Probability_and_Information_Theory.png
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#confidence-interval
(Return back to Contents)https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Contents
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/04_Confidence_Interval/04_Confidence_Interval.png
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#learning-theory
(Return back to Contents)https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#Contents
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview/blob/master/05_Learning_Theory/ml_learning_theory.png
https://github.com/SeedML/Cracking_The_Machine_Learning_Interview#model-and-feature-selection
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