List a is defined as follows:
a = [1, 2, 3, 4, 5] Select all of the following statements that remove the middle element 3 from a so that it equals [1, 2, 4, 5]:
a = [1, 2, 3, 4, 5] Select all of the following statements that remove the middle element 3 from a so that it equals [1, 2, 4, 5]:
Anonymous Poll
58%
a.remove(3)
21%
a[2] = [ ]
19%
a[2:3] = [ ]
50%
del a[2]
7%
a[2:2] = [ ]
❤1
a, b, c = (1, 2, 3, 4, 5, 6, 7, 8, 9)[1::3]
Following execution of this statement, what is the value of b:
Following execution of this statement, what is the value of b:
Anonymous Quiz
19%
6
32%
2
26%
4
23%
5
What is the result of this statement:
>>> z = {'b', 'a', 'r'} & set('qux') . >>> print(z)
>>> z = {'b', 'a', 'r'} & set('qux') . >>> print(z)
Anonymous Quiz
9%
{ )
22%
set( )
49%
{'q', 'r', 'x', 'u', 'b', 'a'}
19%
{'b', 'r', 'a'}
Really cool work out of Microsoft called hummingbird! You can convert traditional #ML models to #Tensor #computations to take advantage of #hardware acceleration like GPUs and TPUs.
Here they convert a random forest model to PyTorch
Link : https://t.co/yT2xUmtLiP
Here they convert a random forest model to PyTorch
Link : https://t.co/yT2xUmtLiP
GitHub
GitHub - microsoft/hummingbird: Hummingbird compiles trained ML models into tensor computation for faster inference.
Hummingbird compiles trained ML models into tensor computation for faster inference. - GitHub - microsoft/hummingbird: Hummingbird compiles trained ML models into tensor computation for faster infe...
[#AI #MachineLearning #DataScience]
Paper Explained-Video👏
👇
Learning To Classify Images Without Labels
New combination of representation learning, clustering & self-labeling with high accuracy on benchmark datasets
Paper link : https://arxiv.org/abs/2005.12320
YouTube Link : https://t.co/Fo3T4iSM3g
Paper Explained-Video👏
👇
Learning To Classify Images Without Labels
New combination of representation learning, clustering & self-labeling with high accuracy on benchmark datasets
Paper link : https://arxiv.org/abs/2005.12320
YouTube Link : https://t.co/Fo3T4iSM3g
arXiv.org
SCAN: Learning to Classify Images without Labels
Can we automatically group images into semantically meaningful clusters when ground-truth annotations are absent? The task of unsupervised image classification remains an important, and open...
Overview of Data distributions
Link : https://www.kdnuggets.com/2020/06/overview-data-distributions.html
Link : https://www.kdnuggets.com/2020/06/overview-data-distributions.html
IIT Madras Invites Applications for Internships in Artificial Intelligence and Data Science, Stipend Rs 40,000
Link : https://www.google.com/amp/s/www.dqindia.com/iit-madras-invites-applications-internships-artificial-intelligence-data-science-stipend-rs-40000/amp/
Link : https://www.google.com/amp/s/www.dqindia.com/iit-madras-invites-applications-internships-artificial-intelligence-data-science-stipend-rs-40000/amp/
📚 Which ebook you want us to upload next?
Final Results
51%
Learn Python 3 the Hard Way by Zed A. Shaw
58%
Fluent Python by O'Reilly Media
👉500+ Data Science Interview Questions and Answers!!!!🧠
1) https://www.springboard.com/blog/data-science-interview-questions/
2) https://www.edureka.co/blog/interview-questions/data-science-interview-questions/
3) https://towardsdatascience.com/top-30-data-science-interview-questions-7dd9a96d3f5c
4) https://towardsdatascience.com/over-100-data-scientist-interview-questions-and-answers-c5a66186769a
5) https://www.gangboard.com/blog/machine-learning-interview-questions-and-answers
P.S. I apologize, some of these have some questions or answers that are confusing and/or poorly written. However, on the whole, they are good resources :)
1) https://www.springboard.com/blog/data-science-interview-questions/
2) https://www.edureka.co/blog/interview-questions/data-science-interview-questions/
3) https://towardsdatascience.com/top-30-data-science-interview-questions-7dd9a96d3f5c
4) https://towardsdatascience.com/over-100-data-scientist-interview-questions-and-answers-c5a66186769a
5) https://www.gangboard.com/blog/machine-learning-interview-questions-and-answers
P.S. I apologize, some of these have some questions or answers that are confusing and/or poorly written. However, on the whole, they are good resources :)
What is the best python ide for data science and machine learning?
.
⚠️You can choose more than one option.
.
⚠️You can choose more than one option.
Anonymous Poll
79%
Jupyter notebook
18%
Visual studio code
25%
Spyder
1%
Rodeo
2%
Vim
30%
Pycharm
5%
Atom
1%
Thonny
6%
Sublime Text
👍1