# Category Archives: Career Planning

## Linear, Multiple Regression Interview Questions Set 3

This page lists down the practice tests / interview questions for Linear (Univariate / Simple Linear) / Multiple (Multilinear / Multivariate) regression in machine learning. Those wanting to test their machine learning knowledge in relation with linear/multi-linear regression would find the test useful enough. The goal for these practice tests is to help you check your knowledge in numeric regression machine learning models from time-to-time. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful. This test primarily …

## Linear, Multiple Regression Interview Questions Set 2

This page lists down the practice tests / interview questions and answers for Linear (Univariate / Simple Linear) / Multiple (Multilinear / Multivariate) regression in machine learning. Those wanting to test their machine learning knowledge in relation with linear/multi-linear regression would find the test useful enough. The goal for these practice tests is to help you check your knowledge in numeric regression machine learning models from time-to-time. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful. This …

## Linear, Multiple Regression Interview Questions Set 1

This page lists down the practice tests / interview questions and answers for Linear (Univariate / Simple Linear) / Multiple (Multilinear / Multivariate) regression in machine learning. Those wanting to test their machine learning knowledge in relation with linear/multi-linear regression would find the test useful enough. The goal for these practice tests is to help you check your knowledge in numeric regression machine learning models from time-to-time. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful. Note that …

## Uber Machine Learning Interview Questions

This page represents some of the following in relation with Uber Data Science / Machine Learning interview questions: Interview questions Data Science challenge Machine learning problems These questions / problems etc have been gathered from different websites and blogs including Glassdoor, Github, Blogs etc. Data Science / Machine Learning Interview Questions Uber’s surge pricing algorithm including optimization techniques which can be used. Here is a great write up on The secrets of Uber’s mysterious surge pricing algorithm, revealed How would you find / investigate an anomaly in a distribution? What are different Time Series forecasting techniques? Explain Principle Component Analysis (PCA) with equations? How would you go about solving Multicollinearity? …

## 30+ Infosys Freshers Interview Questions

If you are a fresher (fresh out of college) or still doing your engineering or related (MCA/BCA) degree and you are planning to appear for Infosys (as part of campus placement or campus hiring), here is a list of questions you would want to brush up in order to get fully prepared for Infosys interview. The following are some of the categories representing different interview questions: Technical questions Project-related questions HR-related questions Technical Questions Object-oriented concepts What is a class? What is inheritance What is data encapsulation? Programming concepts What are pointers? How do you implement pointers in C? Write a program on Fibonacci series and odd/even number Write a program …

## Introduction to Machine Learning (Set 2) Interview Questions

This page represents a list of questions which can be used for preparation of machine learning interviews. Here is the link to first set of machine learning interview questions as part of this series. The following are some of the areas covered in this set of questions: Univariate vs Multivariate linear regression Supervised vs unsupervised learning Algorithms such as KNN, K-means, SVM etc. [wp_quiz id=”5748″]

## Machine Learning (Ensemble Techniques) Interview Questions

This page represents a list of questions which can be used for preparation of machine learning interviews. The following are some of the topics covered in this set of questions: Ensemble learning: Ensemble learning algorithms are used to improve the prediction performance of individual learning algorithms based on bagging or boosting technique. Bagging (Boosting Aggregation) Boosting Decision trees Random forest [wp_quiz id=”5764″]

## 18 Microsoft Data Science Interview Questions

This is a list of 18 questions which has been asked in several Microsoft data science / machine learning interviews. These questions have been compiled from Glassdoor and other sources. We shall be posting a series of related objective questions (capsule) quizzes in very near future. Can you explain the Naive Bayes fundamentals? How did you set the threshold? Can you explain SVM? How do you detect if a new observation is outlier? What is bias-variance trade off ? Basic statistical questions such as define variance, standard deviation etc Discuss how to randomly select a sample from a product user population. Describe how gradient boost works. What is L1 and …

## Machine Learning (Hypothesis Testing) Interview Questions

This page represents a list of questions which can be used for preparation of machine learning interviews. The following are some of the areas covered in this set of questions: Null Hypothesis; Another page which explains the concept in decent manner is Null Hypothesis definition and examples, how to state. P-value; In simple words, p-value represents likelihood (in terms of probability) of sample results occurring if the null hypothesis is assumed to be true. For example, a p-value of 0.03 would mean that given the null hypothesis is true, the probability that results occur in the sample is 0.03 which is very less. Thus, the alternate hypothesis can be true. Thus, …

## Amazon Machine Learning Interview Questions Set 2

This page lists down second set of objective questions which represents interview questions that have been asked in various amazon machine learning interviews. Here is the first set of questions. These questions have been gathered from sources such as Glassdoor and other places on the internet. Following areas are covered in this set of questions: Generative and discriminative algorithms Gradient descent vs stochastic gradient descent (SGD) Cost functions [wp_quiz id=”5741″]

## Amazon Machine Learning Interview Questions Set 1

This page lists down a set of objective questions which represents interview questions that have been asked in various amazon machine learning interviews. These questions have been gathered from sources such as Glassdoor and other places on the internet. Following areas are covered in this set of questions: Gradient descent vs stochastic gradient descent (SGD) Logistic regression vs neural networks Support Vector Machine (SVM) vs logistic regression [wp_quiz id=”5740″]

## Angular Router Interview Questions – Set 2

This page represents questions in relation with Angular Router. Test Your Knowledge of Angular Router [wp_quiz id=”5554″] In case you are developing web apps using Spring and Angular, check out my book, Building web apps with Spring 5 and Angular. Grab your ebook today and get started.

## Angular Router Interview Questions – Set 1

This page represents questions in relation with Angular Router. Test Your Knowledge of Angular Router [wp_quiz id=”5553″] In case you are developing web apps using Spring and Angular, check out my book, Building web apps with Spring 5 and Angular. Grab your ebook today and get started.

## Introduction to Machine Learning (Set 1) Interview Questions

This quiz covers some of the following machine learning topics: Supervised vs unsupervised learning Introductory concepts on classification, regression, clustering etc. These questions can be used as practice tests for checking your basic-level knowledge in machine learning. They can also useful as interview questions for certification exams. Please feel free to suggest. [wp_quiz id=”5735″]

## Upcoming Online Demos on AI/Data Science (13th – 18th Nov)

The following is the list of upcoming online demos on AI/Data Science in this week (13th – 18th Nov 2017). Company Topic Date/Time Details AI/Data Science Online Demo 18th Nov (11:00 AM) Drop us an email Data Science – Machine Learning with Python 18th Nov (11:00 AM to 12:00 PM) Register

## Angular – Whether use Http or HttpClient Service

This blog represents tips and concepts on the whether to use Http or HttpClient service in your Angular app. Prior to Angular 4.3 versions, Angular Http service got used to invoke the server APIs to get the data. That meant inclusion of HttpModule for using Http Service. In Angular 4.3, HttpClient service (as part of HttpClientModule) got shipped in @angular/common as a smaller, easier, and more powerful way to make web requests in Angular. This got great acceptance in Angular developers community. From Angular 5.0.0 onwards, Angular has decided to deprecate Http service and recommends using HttpClient service for all applications. In order to start using HttpClient service, the following …

I found it very helpful. However the differences are not too understandable for me