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Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
Approx. 18 hours to complete
This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. Good background in linear algebra (e. , matrix and vector algebra, linear independence, basis) Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization....
Machine Learning 2020: Complete Maths for Machine Learning
by Jitesh Khurkhuriya- 4.1
2.5 hours on-demand video
Learn Math for Machine Learning, Math for Data Science, Linear Algebra, Calculus, Vectors & Matrices, Probability & more This course of Math For Machine Learning, aims to bridge that gap. This course is divided into following sections, Algebra Foundations Linear Algebra Linear Algebra is the mathematics of the 21st Century....
$11.99
Modern Deep Convolutional Neural Networks with PyTorch
by Denis Volkhonskiy- 4.2
2 hours on-demand video
Dear friend, welcome to the course "Modern Deep Convolutional Neural Networks"! I tried to do my best in order to share my practical experience in Deep Learning and Computer vision with you. Matrix calculus, Linear Algebra, Probability theory and Statistics Basics of Machine Learning: Regularization, Linear Regression and Classification, Basics of Deep Learning: Linear layers, SGD, Multi-layer perceptron...
$11.99
Linear Algebra III: Determinants and Eigenvalues
by Greg Mayer- 0.0
3 Weeks
This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. The goal of this part of the course is to decompose the action of a linear transformation that may be visualized. Use eigenvalues to determine identify the rotation and dilation of a linear transform...
$199
IBM Machine Learning Professional Certificate
- 0.0
Although it is recommended that you have some background in Python programming, statistics, and linear algebra, this intermediate series is suitable for anyone who has some computer skills, interest in leveraging data, and a passion for self-learning....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Linear Regression...
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Linear Regression...
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Mathematical Foundations of Machine Learning
by Dr Jon Krohn- 4.5
15.5 hours on-demand video
Essential Linear Algebra and Calculus Hands-On in NumPy, TensorFlow, and PyTorch Jon Krohn, this course provides a firm grasp of the mathematics — namely the linear algebra and calculus — that underlies machine learning algorithms and data science models. Understand the fundamentals of linear algebra and calculus, critical mathematical subjects underlying all of machine learning and data science...
$17.99
Applications of Linear Algebra Part 1
by Allison Dulin , Kristen Eshleman , Robert McSwain , Sara Swanson- 0.0
4 Weeks
Learn to use linear algebra in computer graphics by making images disappear in an animation or creating a mosaic or fractal and in data mining to measure similarities between movies, songs, or friends. Applications of linear algebra in computer graphics such as visually approximating an image with a page of typed characters, blending images, and creating composite images....
$25
Introduction to Enumerative Combinatorics
by Evgeny Smirnov- 4.7
Approx. 111 hours to complete
In the first part of our course we will be dealing with elementary combinatorial objects and notions: permutations, combinations, compositions, Fibonacci and Catalan numbers etc. However, some acquaintance with basic linear algebra and analysis (including Taylor series expansion) may be very helpful. Rules on the academic integrity in the course Course Overview Sidebar: q-binomial coefficients in linear algebra...