This is the simple application of a filter to an input that results in inactivation. Repeated application of the same filter to input results in a map of activations called a feature map, indicating the locations and strength of a ...

0

Machine Learning 55 years 0 Answers 756 views Member

Question 6

What is the difference between machine learning and deep learning?

Question

Machine Learning | Deep learning Machine Learning is a technique to learn from that data and then apply what has been learned to make an informed decision | The main difference between deep and machine learning is, machine learning models ...

0

Machine Learning 55 years 0 Answers 807 views Member

Question 7

What is the statistical test for data validation with an example, Chi-square, ANOVA test, Z statics, T statics, F statics, Hypothesis Testing?

Question

Before discussing the different statistical tests, we need to get a clear understanding of what a null hypothesis is. A null hypothesis proposes that has no significant difference exists in the set of a given observation. Null: Two samples' mean is ...

in progress 0

Machine Learning 55 years 0 Answers 944 views Member

Question 8

What do you understand by Type I and Type II errors?

Question

Type I Error: Type I error (False Positive) is an error where the outcome of a test shows the non-acceptance of a true condition. For example, a cricket match is going on and, when a batsman is not out, the umpire ...

0

Machine Learning 55 years 0 Answers 659 views Member

Question 9

What is a Confusion Matrix?

Question

Confusion matrix is used to explain a model’s performance and gives the summary of predictions on the classification problems. It assists in identifying the uncertainty between classes. A confusion matrix gives the count of correct and incorrect values and also the ...

0

Machine Learning 55 years 0 Answers 717 views Member

Question 10

What are Bias and Variance?

Question

Bias is the difference between the average prediction of our model and the correct value. If the bias value is high, then the prediction of the model is not accurate. Variance is the number that gives the difference of prediction over a training ...

0

Machine Learning 55 years 0 Answers 711 views Member

Question 11

Differentiate between classification and regression in Machine Learning.

Question

In Machine Learning, there are various types of prediction problems based on supervised and unsupervised learning. These are classification, regression, clustering, and association. Here, we will discuss about classification and regression. Classification: In classification, we try to create a Machine Learning model ...

in progress 0

Machine Learning 55 years 0 Answers 1015 views Member

Question 12

what are the types of Machine Learning?

Question

So basically there are 3 types of techniques: Supervised Learning: In this type of the Machine Learning technique, machines learn under the supervision of labeled data. Unsupervised Learning: Unlike supervised learning, it has unlabeled data. So, there is no supervision under which it works ...

0

Machine Learning 55 years 0 Answers 808 views Member

Question 13

All things you need to know about Tensorflow.

Question

TensorFlow: TensorFlow is an open-source software library released in 2015 by Google to make it easier for the developers to design, build, and train deep learning models. TensorFlow is originated as an internal library that the Google developers used to ...

0

Machine Learning 55 years 0 Answers 883 views Member

Question 14

What are the various aspects of a Machine Learning process?

Question

Here we will discuss the components involved in solving a problem using machine learning. 1. Domain knowledge This is the first step wherein we need to understand how to extract the various features from the data and learn more about the ...

0

Machine Learning 55 years 0 Answers 974 views Member

Question 15

Could you estimate for me, the number of burgers a McDonald’s outlet sells in a day

Question

To simplify this problem, I would like to estimate the sales in (1) the restaurant and (2) takeaways, separately. (1) Restaurant Strategy I would like to approach this problem from a supply point of view. I want to add that supply in ...

in progress 0

Guesstimate 55 years 0 Answers 10937 views Member

Question 16

Estimate the number of denims sold in America in a year.

Question

*America has a population of 1.2B; America has ~30% population living below the poverty line. Assume that a negligible proportion of poor population wears denim. * In the remaining population of 0.84M, 50% comes in the age group of 6-36, ...

0

Guesstimate 55 years 0 Answers 1355 views Member

Question 17

Traditional Methods used in Data Science

Question

After when the BI reports and Dashboards are prepared. and the executive has extracted the insights of the business. You use it to predict some future values as accurately as possible. That is why at this stage we stop dealing ...

0

Interview Question 55 years 0 Answers 740 views Member

Question 18

Learn Data Science For Free

Question

In this, I will show you a systematic way on how you can basically complete your data science syllabus withing a month. So that your transition towards data science can be possible with a short amount of time and after ...

in progress 0

Interview Question 55 years 0 Answers 860 views Member

Question 19

Why Data Scientist?

Question

In this article, we will talk about on "Why to become a data scientist/data wizard? " and "Why is it beneficial to become one?" Some people know and others have a basic idea about an emerging position as a data scientist ...

0

Interview Question 55 years 0 Answers 917 views Member

Question 20

TF-IDF in Sentiment Analysis

Question

Can TF-IDF be used in Sentiment Analysis by creating our own custom Intensity analyzer?

0

Interview Question 55 years 0 Answers 851 views Newbie

Question 21

What is tokenization and lemmatization in NLP?

Question

Lemmatization generally means to do things properly with the use of vocabulary and morphological analysis of words. In this process, the endings of the words are removed to return the base word, which is also known as Lemma. Example: boy’s = boy, ...

0

Machine Learning 55 years 0 Answers 1040 views Member

Question 22

Explain the Pandas Time Series?

Question

A Time Series is a sequential grouping of data that essentially speaks to how some values change after some time. Pandas contain broad capacities and highlights for working with time arrangement information for all areas. There are some properties: Parsing time-series ...

0

Machine Learning 55 years 0 Answers 787 views Member

Question 23

What is the difference between NumPy and SciPy?

Question

Normally, NumPy is used to perform the most basic array manipulations like indexing, sorting, reshaping, basic elementary functions. All mathematical code would reside in SciPy. Notwithstanding, one of NumPy's significant objectives is that it is compatible, so NumPy attempts to hold ...

0

Python 55 years 0 Answers 902 views Member

Question 24

What is self in Python?

Question

Self is an object of a class. In Python, this is explicitly included as the main parameter. Nonetheless, this isn't the situation in Java where it's discretionary. It assists with separating between the methods and data members of a class ...

0

Python 55 years 0 Answers 968 views Member

Question 25

Explain the 80/20 rule, and tell me about its importance in model validation

Question

Initially, the Pareto Principle alluded to the perception that 80% of Italy's abundance had a place with just 20% of the populace. All the more, by and large, the Pareto Principle is the perception (not law) that most things in life ...

0

Machine Learning 55 years 0 Answers 1062 views Member

Question 26

Difference between Case and Searched Case statements in SQL?

Question

Difference between Case and Searched Case statements in SQL?

0

SQL 55 years 0 Answers 1029 views Newbie

Question 27

Find the no. of calls for each customer (i.e. call_to) after their first meaningful call

Question

Find out the no. of calls for each customer (i.e. call_to) after their first meaningful call (i.e. call which lasts for more than 30 seconds). The attached snapshot contains the dataset as well as the expected outcome.

0

SQL 55 years 0 Answers 1040 views Member

Question 28

Optimizers

Question

What is the difference between SGD, GD and mini batch GD?

in progress 0

Machine Learning 55 years 0 Answers 831 views Master

Question 29

ARIMA Model

Question

In ARIMA(1,0,0) Model i.e. Auto-regressive model, it is said that the coefficient must be less than 1 and only then this model is possible. Why?

0

Interview Question 55 years 0 Answers 816 views Newbie

Question 30

Update a Table

Question

How will you update a table without using Update statement?

0

Interview Question 55 years 0 Answers 1080 views Member

Question 31

Amazon Program manager Question

Question

I am looking for examples of such questions.

0

Interview Question Anonymous 55 years 0 Answers 744 views

Question 32

Amazon Program manager Question

Question

I am looking for examples of such questions.

0

Interview Question Anonymous 55 years 0 Answers 712 views

Question 33

Online test by Fractal Analytics

Question

Hi, I need to know the set of questions asked by Fractal Analytics for Data Scientist for online test (1.30 hours and 13 questions). Please respond and provide the set of questions at earliest as the test is to be ...

in progress 6

Interview Question Anonymous 55 years 0 Answers 8589 views

Question 34

Student – Grade

Question

List the id , marks of all students whose marks doesn't fall under any grade.

0

SQL Anonymous 55 years 0 Answers 1065 views

Question 35

How is the hiring manager round at Ola for Business Analyst Role?

Question

Types of questions asked

0

Interview Question 55 years 0 Answers 1320 views Grand Master

Question 36

Add a column in existing data frame with same value in R

Question

Add a column with a constant value. Example - Add a column ISD code and put +91 in the rows

0

R 55 years 0 Answers 830 views Grand Master

Question 37

Select particular columns and rows from a data frame/data set in R/Python

Question

Suppose I don't want to have row number 4,6,7 and column 8,9,3 in my data frame, how to do that?

0

R 55 years 0 Answers 842 views Grand Master

Question 38

How to import Google sheet in R?

Question

What is the process to extract google sheet's data in R?

0

R 55 years 0 Answers 925 views Grand Master

Question 39

Model selection

Poll

I have two models with comparable accuracy and performance.Which one should I choose for production and why

0

Interview Question Anonymous 55 years 0 Answers 765 views

Question 40

Offset function real use case?

Question

What's the actual practical use of OFFSET? Do suggest a few use cases. ( I do know what it does )

0

SQL 55 years 0 Answers 904 views Newbie

Question 41

Snapdeal Interview Question | Annomalies

Question

Suggest some ways through which you can detect anomalies in a given dataset.

0

Interview Question 55 years 0 Answers 885 views Great Grand Master

Question 42

JIO Interview Question | Weight

Question

Is random weight assignment better than assigning same weights to the units in the hidden layer?

0

Interview Question 55 years 0 Answers 984 views Great Grand Master

Question 43

JIO Interview Question | Gaussian Mixture Model

Question

When using the Gaussian mixture model, how do you know it's applicable?

0

Interview Question 55 years 0 Answers 1022 views Great Grand Master

Question 44

JIO Interview Question | Neural Network

Question

How does a neural network with one layer and one input and output compare to a logistic regression?

0

Interview Question 55 years 0 Answers 990 views Great Grand Master

Question 45

JIO Interview Question | Hyperparameters

Question

How will you tune hyperparameters in you model? Also tell how will you test and know if they actually worked or not?

0

Interview Question 55 years 0 Answers 982 views Great Grand Master

Question 46

JIO Interview Question | Fuzzy Merging

Question

What do you understand by Fuzzy merging? Which language will you use to handle it?

0

Interview Question 55 years 0 Answers 1008 views Great Grand Master

Question 47

JIO Interview Question | Confidence Intervals

Question

How are confidence intervals constructed and how will you interpret them?

0

Interview Question 55 years 0 Answers 930 views Great Grand Master

Question 48

JIO Interview Question | Fundamentals

Question

Can you explain the Naive Bayes Fundamentals? How did you set the threshold?

0

Interview Question 55 years 0 Answers 857 views Great Grand Master

Question 49

eBay Interview Question | Long-Tailed Distribution

Question

Why are long-tailed distributions important in classification and regression problems?

0

Interview Question 55 years 0 Answers 895 views Great Grand Master

Question 50

eBay Interview Question | Transactions

Question

How do you take millions of users with 100’s transactions each, amongst 10k’s of products and group the users together in meaningful segments?

1

Interview Question 55 years 0 Answers 1068 views Great Grand Master

Register Now

Login

Lost Password

Welcome to The Data Monk