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Learning CUDA 10 Programming
by Packt Publishing- 4.1
2.5 hours on-demand video
Harness the power of GPUs to speed up your applications Do you want to write GPU-accelerated applications, but don't know how to get started? With CUDA 10, you can easily add GPU processing to your C and C++ projects. CUDA 10 is the de-facto framework used to develop high-performance, GPU-accelerated applications....
$11.99
Quantum Cryptography
by Stephanie Wehner , Thomas Vidick , Guest Lecturers- 0.0
10 Weeks
This course assumes a solid knowledge of linear algebra and probability at the level of an advanced undergraduate....
$50
Computational Thinking for Modeling and Simulation
by Daniel Frey , Ali Talebinejad- 0.0
9 Weeks
Because of that choice, this course covers many topics normally viewed as within the domain of mathematics such as algebra and calculus, but the solution procedures are algorithmic rather than symbolic....
$49
Differential Equations: Linear Algebra and NxN Systems of Differential Equations
by David Jerison , Bjorn Poonen , Jennifer French , Duncan Levear- 0.0
12 Weeks
Learn how to use linear algebra and MATLAB to solve large systems of differential equations. In this course, we will learn how to use linear algebra to solve systems of more than 2 differential equations....
$75
Digital Signal Processing 1: Basic Concepts and Algorithms
by Paolo Prandoni , Martin Vetterli- 4.6
Approx. 29 hours to complete
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. In this series of four courses, you will learn the fundamentals of Digital Signal Processing from the ground up. Module 1. 1: Digital Signal Processing: the Basics...
Digital Signal Processing 2: Filtering
by Paolo Prandoni , Martin Vetterli- 4.7
Approx. 18 hours to complete
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Module 2....
Optimizing Machine Learning Performance
by Anna Koop- 4.6
Approx. 12 hours to complete
You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode)....
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Digital Signal Processing 4: Applications
by Paolo Prandoni , Martin Vetterli- 0.0
Approx. 14 hours to complete
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. IMAGE PROCESSING...
Digital Signal Processing 3: Analog vs Digital
by Paolo Prandoni , Martin Vetterli- 4.8
Approx. 16 hours to complete
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Module 3....
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing....