Search result for What is linear algebra Online Courses & Certifications
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Linear Regression using Stata
by Najib Mozahem- 4.4
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3.5 hours on-demand video
Included in this course is an e-book and a set of slides. The purpose of this part of the course is for students to understand what linear regression is and when it is used. Understand what is linear regression Identify when linear regression is used Understand the difference between simple linear regression and multiple linear regression...
$11.99
The Introduction to Quantum Computing
by Сысоев Сергей Сергеевич- 4.3
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Approx. 17 hours to complete
"Quantum Computing" is among those terms that are widely discussed but often poorly understood. The main obstacle here is the word "quantum", which refers to quantum mechanics - one of the most counter-intuitive ways to describe our world. Since the course is introductory, the only prerequisites are complex numbers and linear algebra....
Quantum Machine Learning
by Peter Wittek- 0.0
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9 Weeks
Quantum computers are becoming available, which begs the question: what are we going to use them for? The goal of this course is to show what benefits current and future quantum technologies can provide to machine learning, focusing on algorithms that are challenging with classical digital computers. General linear algebra subroutines by quantum algorithms....
$49
Math for Machine Learning
by Richard Han- 4
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5 hours on-demand video
Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as: 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...
$11.99
Discrete Time Signals and Systems
by Richard G. Baraniuk- 0.0
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8 Weeks
Learners should have strong problem solving skills, the ability to understand mathematical representations of physical systems, and advanced mathematical background (one-dimensional integration, matrices, vectors, basic linear algebra, imaginary numbers, and sum and series notation). This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors....
$249
LAFF-On Programming for High Performance
by Maggie Myers , Robert van de Geijn , Devangi Parikh- 0.0
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5 Weeks
Is my code fast? In this course, the simple but important example of matrix-matrix multiplication is used to illustrate fundamental techniques for attaining high-performance on modern CPUs. Access to a relatively recent x86 processor such as Intel Haswell or AMD Ryzen (or newer) running Linux is required....
$49
Matlab - The Complete Course
by TELCOMA Global 68,000+ Students!- 3.5
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6 hours on-demand video
MATLAB is the most popular and widely used programming languages for engineers and scientists. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more....
$12.99
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Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
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Approx. 31 hours to complete
, TensorFlow, Keras), as well as proficiency in calculus, linear algebra, and statistics. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. (Optional) What is Teacher Forcing?...
IBM Machine Learning Professional Certificate
- 0.0
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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....
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
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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. What is Machine Learning in Finance?...
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