100 data science interview questions
Master data science concepts!
Extremely HandsOn... Incredibly Practical... Unbelievably Real!
This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.
In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities  you name it!
This course is for anyone who wants questions to practice for their next Data Science Interviews or want to test the understanding of their concepts.
The course covers a vast range of topics from probability and statistics to Data Science and Machine Learning Algorithms. This course doesn't waste your valuable time.
If you do not get the answers to a question, you can understand how to solve them from our welldetailed explanations.
Also, please note that the course will be updated in the near future.
This is the most comprehensive Test Series online which will help you ace your Data Science/Machine Learning interviews.
Being a data scientist is one of the most lucrative and future proof careers with Glassdoor naming it the best job in America for the third consecutive year in a row with great future growth prospects and a median base salary of $110,000. I have recently made the transition from being a PhD student in Computer Science to a Senior Data Scientist at a large tech company. In this course I give you all the questions and answers that I used to prepare for my data science interviews as well as the questions and answers that I now expect when I am giving interviews to potential data science candidates. The course provides a complete list of 150+ questions and answers that you can expects in a typical data science interview including questions on machine learning, neural networks and deep learning, statistics, practical experience, big data technologies, SQL, computer science, culture fit, questions for the interviewer and brainteasers.
100 data science interview questions  Udemy
What questions will you learn the answer to?

What is the biasvariance tradeoff?

How would you evaluate an algorithm on unbalanced data?

When would you use gradient descent (GD) over stochastic gradient descent (SDG), and viceversa?

Why do segmentation CNNs typically have an encoderdecoder style / structure?

Why we generally use Softmax nonlinearity function as last operation innetwork?

You randomly draw a coin from 100 coins — 1 unfair coin (headhead), 99 fair coins (headtail) and roll it 10 times. If the result is 10 heads, what is the probability that the coin is unfair?

Given the following statistic, what is the probability that a woman has cancer if she has a positive mammogram result? 1% of women have breast cancer, 90% of women who have breast cancer test positive on mammograms and 8% of women will have false positives.

Write a SQL query to get the second highest salary from the Employee table. If there is no second highest salary the query should return null.

What is the average time complexity to search an unsorted array?

Why do you want to work here?

How can you generate a random number between 1 – 7 with only a die?
Who this course is for:
 People who wants to learn data science concepts
 People who wants to crack data science interview
 People who wants to crack machine learning interview
 People who wants to crack deep learning interview
 People who wants to master important machine learning concepts
 What are the differences between supervised and unsupervised learning? ...
 How is logistic regression done? ...
 Explain the steps in making a decision tree. ...
 How do you build a random forest model? ...
 How can you avoid overfitting your model?
 How to Prepare for a Data Science Interview: Background Research.
 Review the job posting.
 Go to their website.
 Study their competitors.
 Check the company's values and culture.
 Find out the company's recent achievements.
 Research your interviewer.
100 data science interview questions  Udemy
Data Science 101
Put simply, data science refers to the practice of getting actionable insights from raw data. Our guide will walk you through the ins and outs of the data science field, including how it works and examples of how it's being used today.
 An AIgenerated text prediction model was trained to write a Harry Potter novel.
 The earliest case of data visualization being used to influence public policy was around getting better sanitary conditions for British soldiers.
It is better to be honest and admit that you don't know than to try and make up an answer. The interviewer will be more impressed if you can demonstrate that you are willing to learn new things. Remember, the best way to prepare for a data scientist interview is to practice as many questions as possible!
INSTRUCTOR
Neuralclass Academy