Search result for Linear algebra full course Online Courses & Certifications
Get Course Alerts by Email
Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
Approx. 24 hours to complete
This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance....
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...
Sparse Representations in Signal and Image Processing: Fundamentals
by Michael Elad , Alona Golts- 0.0
5 Weeks
This course introduces the fundamentals of the field of sparse representations, starting with its theoretical concepts, and systematically presenting its key achievements. Its core idea is the description of the data as a linear combination of few building blocks - atoms - taken from a pre-defined dictionary of such fundamental elements....
$149
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
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
Approx. 18 hours to complete
The course is designed for three categories of students: Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course....
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
Related searches
VLSI CAD Part I: Logic
by Rob A. Rutenbar- 4.7
Approx. 23 hours to complete
Linear algebra and calculus at the level of a junior or senior in engineering. We will keep the course self-contained, but students with some VLSI will be able to skip some background material. Tools For This Course Computational Boolean Algebra End of Course Survey...
Math for Machine Learning
by Richard Han- 4
5 hours on-demand video
I have created many successful online math courses that students around the world have found invaluable—courses in linear algebra, discrete math, and calculus. Linear Regression Linear Discriminant Analysis 30 day full refund if not satisfied....
$11.99
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...