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Overview
This Mathematics for Machine Learning and Data Science course is offered by Coursera in partnership with Deeplearning.
What you'll learn
- A deep understanding of the math that makes machine learning algorithms work.
- Statistical techniques that empower you to get more out of your data analysis.
Skills you'll gain
- Bayesian Statistics
- Mathematics
- Linear Regression
- Calculus
- Machine Learning
- Probability
Skills you'll gain
- Machine Learning
- Calculus
- Mathematics
- Machine Learning Algorithms
- Regression
- Algorithms
- Artificial Neural Networks
- Linear Algebra
- Probability & Statistics
- General Statistics
Programme Structure
Courses included:
- Linear Algebra for Machine Learning and Data Science
- Calculus for Machine Learning and Data Science
- Probability and Statistics for Machine Learning and Data Science
Key information
Duration
- Part-time
- 3 months
- 5 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Mathematics Data Science & Big Data Machine Learning View 208 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- High school math (functions, basic algebra) and Python programming (data structures, loops, functions, conditional statements, debugging).
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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