100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached
logo-home
Previously searched by you
Previously searched by you
logo
Lecture 2 - Linear Algebra, probability and information theory, optimization $8.49   Add to cart
Quickly navigate to
Preview
  2.  
  3. Lecture 2 - Linear Algebra, Probability
  4.  
  5. Lecture 2 - Linear Algebra, probability

Exam (elaborations)

Lecture 2 - Linear Algebra, probability and information theory, optimization

 5 views  0 purchase
  • Course
  • Lecture 2 - Linear Algebra, probability
  • Institution
  • 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...

[Show more]

Preview 1 out of 3  pages

Document information

  • September 26, 2024
  • 3
  • 2024/2025
  • Exam (elaborations)
  • Unknown

Subjects

  • lecture 2 linear algebra probability and inform

Written for

  • Lecture 2 - Linear Algebra, probability
All documents for this subject (1)

Seller

avatar-seller
Ariani22FK

Content preview

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.

The benefits of buying summaries with Stuvia:

Guaranteed quality through customer reviews

Guaranteed quality through customer reviews

Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.

Quick and easy check-out

Quick and easy check-out

You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.

Focus on what matters

Focus on what matters

Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!

Frequently asked questions

What do I get when I buy this document?

You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.

Satisfaction guarantee: how does it work?

Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.

Who am I buying these notes from?

Stuvia is a marketplace, so you are not buying this document from us, but from seller Ariani22FK. Stuvia facilitates payment to the seller.

Will I be stuck with a subscription?

No, you only buy these notes for $8.49. You're not tied to anything after your purchase.

Can Stuvia be trusted?

4.6 stars on Google & Trustpilot (+1000 reviews)

75323 documents were sold in the last 30 days

Founded in 2010, the go-to place to buy study notes for 14 years now

Start selling
$8.49
  • (0)
  Add to cart