This class was created by Brainscape user Daniel Conner. Visit their profile to learn more about the creator.
By:
Daniel Conner
- decks
- flashcards
- learners
Decks in this class (19)
Machine Learning
Precision recall tradeoff,
At uber one important attribute f...,
Assumptions of linear regression
22
cards
SUpervised Learning
What is supervised learning
1
cards
Linear Regression
What is regression which models c...,
What is linear regression when do...,
Major assumptions of linear regre...
13
cards
Validation
What is overfitting,
How to validate your models,
Why do we need to split our data ...
6
cards
Classification
What is classification which mode...,
What is logistic regression when ...,
Is logistic regression a linear m...
19
cards
Regularization
What happens to our linear regres...,
What is regularization why do we ...,
Which regularization techniques d...
14
cards
Feature selection
What is feature selection why do ...,
Is feature selection important fo...,
Which feature selection technique...
5
cards
Decision Trees
What are the decision trees,
How do we train decision trees,
What are the main parameters of t...
6
cards
Random Forest
What is random forest,
Why do we need randomization in r...,
What are the main parameters of t...
8
cards
Gradient Boosting
What is gradient boosting trees,
What s the difference between ran...,
Is it possible to parallelize tra...
6
cards
Param Tuning
Which hyper parameter tuning stra...
1
cards
Neural Networks
What kind of problems neural nets...,
How does a usual fully connected ...,
Why do we need activation functions
8
cards
Optimization in neural networks
What is backpropagation how does ...,
Which optimization techniques for...,
How do we use sgd stochastic grad...
11
cards
Neural networks for computer vision
How we can use neural nets for co...,
What s a convolutional layer,
Why do we actually need convoluti...
13
cards
Text Classification
How can we use machine learning f...,
What is bag of words how we can u...,
What are the advantages and disad...
10
cards
Clustering
What is clustering,
What is clustering when do we nee...,
Do you know how k means works
7
cards
DImensionality Reduction
What is the curse of dimensionali...,
Do you know any dimensionality re...,
What s singular value decompositi...
3
cards
Recommender Systems
What is a recommender system,
What are good baselines when buil...,
What is collaborative filtering
6
cards
Time Series
What is a time series,
How is time series different from...,
Which models do you know for solv...
8
cards
More about
Ace the data science interview
- Class purpose General learning
Learn faster with Brainscape on your web, iPhone, or Android device. Study Daniel Conner's Ace the data science interview flashcards now!
How studying works.
Brainscape's adaptive web mobile flashcards system will drill you on your weaknesses, using a pattern guaranteed to help you learn more in less time.
Add your own flashcards.
Either request "Edit" access from the author, or make a copy of the class to edit as your own. And you can always create a totally new class of your own too!
What's Brainscape anyway?
Brainscape is a digital flashcards platform where you can find, create, share, and study any subject on the planet.
We use an adaptive study algorithm that is proven to help you learn faster and remember longer....
Looking for something else?
ACE ® Health Coach
- 18 decks
- 764 flashcards
- 1,023 learners
Decks:
Role And Scope Of The Health Coach, Core Components Of Coaching, Behavior Change Models And Theories, And more!
Biology 101
- 16 decks
- 1,045 flashcards
- 4,500 learners
Decks:
Biochemical Basics, Cell Biology, Microbiology, And more!
Data Science Interview
- 5 decks
- 113 flashcards
- 344 learners
Decks:
Intro Statistics, Linear Algebra, Machine Learning, And more!
Microsoft Data Science
- 12 decks
- 502 flashcards
- 2783 learners
Decks:
Python For Data Science, Data Science Orientation, Statistical Thinking For Data Science An, And more!
