Lecture 2 - Linear Algebra, probability and information theory, optimization
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Lecture 2 - Linear Algebra, probability
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Lecture 2 - Linear Algebra, Probability
Lecture 2 - Linear Algebra, probability and information theory, optimization
What are the two main types of array in python and what are their differences ? - correct answers 1. Lists: A list is a built-in Python data structure that can hold elements of any data type, including other lists. Lists...
Lecture 2 - Linear Algebra, probability
and information theory, optimization
How to deal with high dimensions ? - correct answers Generic term approach:
Exploit invariances and symmetries
Induced by knowledge about the economics problem.
Discover and exploit (non)-linear manifolds over which the response exhibits maximal variability.
Here, we focus on:
HD input (already satisfying symmetries).
Discoverand exploit linear
manifold of maximal variability.
what are the pillars of machine learning ? - correct answers 1. Regression
2. Dimensionality Reduction
3. Density Estimation
4. Classification
Why does linear algebra provide ? - correct answers Linear algebra provides a way of compactly
representing and operating on sets of linear equations.
What is the package in python for matrices and vectors ? - correct answers The package for matrices
and vectors is NumPy.
What is np.array in python ? - correct answers In Python, np.array refers to a function provided by the
NumPy library, which creates a new array object.
The np.array function takes a sequence (such as a list or tuple) and returns a new NumPy array object.
The resulting array can have any number of dimensions and any shape.
Once you have created an array with np.array, you can perform a wide range of operations on it, such as
mathematical operations, slicing, indexing, and more.
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