470 interview questions for Blockchain Expert (2024)

15 votes1401 runs0 comment

8 votes1383 runs0 comment

8 votes1349 runs1 comment

8 votes741 runs0 comment

machine learning

missing data

Martinat Apr 4, 2022

8 votes459 runs0 comment

machine learning

deep learning

Martinat Sep 19, 2022

7 votes1340 runs1 comment

6 votes1388 runs0 comment

6 votes1377 runs0 comment

6 votes531 runs0 comment

scikit-learn

logistic regression

5 votes694 runs0 comment

machine learning

Martinat Mar 15, 2022

5 votes660 runs0 comment

machine learning

missing data

Martinat Apr 4, 2022

5 votes483 runs0 comment

Martinat Mar 14, 2022

5 votes468 runs0 comment

neural network

Martinat Apr 4, 2022

5 votes357 runs0 comment

NLP (Natural language processing)

named entity recognition

5 votes326 runs0 comment

machine learning

Martinat Sep 19, 2022

4 votes1374 runs2 comments

4 votes717 runs0 comment

hyperparameters

Martinat Mar 15, 2022

4 votes627 runs0 comment

machine learning

unsupervised learning

Martinat Mar 15, 2022

4 votes581 runs0 comment

neural network

back propagation

4 votes230 runs0 comment

Martinat Mar 15, 2022

470 interview questionsfor Blockchain Expert (2024)

Test your technical skills before an interview of Blockchain Expert with 470 corrected questions. Beginner, Intermediate or Expert level.

470 interview questionsfor Blockchain Expert (2024)

Test your technical skills before an interview of Blockchain Expert with 470 corrected questions. Beginner, Intermediate or Expert level.

Write a SQL query to retrieve the list of employees with a salary greater than 5100.

Select only distinct values in a column using SQL

Update a column in an SQL table

How to handle missing data in a given training data set ?

What is the relation between Artificial intelligence (AI), machine learning and deep learning?

Write the SQL query to delete a column from a table

Write a SQL query to insert data into a table

Which SQL keyword is used to sort the result of a SELECT statement?

What is the value of the decision threshold used with logistic regression in Scikit-learn?

What is the missing word in the following sentence: Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.

How to handle missing data in a given training data set ?

What is the missing word in the following sentence: Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.

Given a neural network with 4 inputs, how many connections could exist between the input layer and the first hidden layer?

What does NER mean?

What are the different learning methods used for machine learning ?

Write an INNER JOIN query in SQL

The validation set is used to provide frequent and unbiased evaluations of the model’s fit on the training set while tuning its hyperparameters/parameters: in other words,the model is found and then tested on the validation set before to be improved once again.

Clustering is an unsupervised machine learning process which aims at automatically discovering natural grouping in the input data. When using this method, the developer is able to choose the number of groups he wants to create.

How is the error calculated during back propagation in a neural network?

Which code language is the most used to implement AI?