Search result for What is linear algebra Online Courses & Certifications
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Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 9 hours to complete
What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
Approx. 11 hours to complete
What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics....
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 9 hours to complete
What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Quantum Information Science II: Advanced quantum algorithms and information theory
by Isaac Chuang , Aram Harrow- 0.0
4 Weeks
3x course module draws upon quantum complexity and quantum information theory, to cover in depth advanced quantum algorithms and communication protocols, including Hamiltonian simulation, the hidden subgroup problem, linear systems, and noisy quantum channels. Knowledge of linear algebra is also strongly recommended, and other helpful math topics to know include probability and finite fields....
$49
Data for Machine Learning
by Anna Koop- 4.4
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). What Does Good Data look like? Weekly Summary What does good data look like? What is Unsupervised Learning...
Machine Learning and Data Science Essentials with Python & R
by AkaSkills! 35,000+ Students- 4.4
5.5 hours on-demand video
Data Science is the most in-demand and Highest Paying Job of 2018 Understand Linear Algebra Implement Linear Regression with R, Python & Tensorflow Learning Machine Learning is a definite way to advance your career and will open doors to new Job opportunities....
$11.99
Natural Language Processing
by Anna Potapenko , Alexey Zobnin , Anna Kozlova , Sergey Yudin , Зимовнов Андрей Вадимович- 4.4
Approx. 32 hours to complete
Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techniques are likely to work well. To succeed in that, we expect your familiarity with the basics of linear algebra and probability theory, machine learning setup, and deep neural networks. Linear models for sentiment analysis...
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Julia Programming For Data Science & Machine Learning: Julia
by Ankit Mistry- 3.9
4 hours on-demand video
But python is slow. So we need a language which is easy to work like python and as fast as low level programming language like C. Linear algebra with Julia Linear and Multiple Regression with GLM package Sale Prediction using Linear Regression on Sales Data with GLM Package Predict Salary using Multiple Linear Regression on Salary Data...
$17.99
Introduction to numerical analysis
by Evgeni Burovski- 4.7
Approx. 18 hours to complete
It is vanishingly rare however that a library contains a single pre-packaged routine which does all what you need. And this is exactly what this course is about. As prerequisites for this course, we assume a basic command of college-level mathematics (linear algebra and calculus, mostly), and a basic level of programming proficiency. Linear Multistep methods....
Mathematics for economists
by Kirill Bukin- 4.1
Approx. 26 hours to complete
This course is an important part of the undergraduate stage in education for future economists. Its prerequisites are both the knowledge of the single variable calculus and the foundations of linear algebra including operations on matrices and the general theory of systems of simultaneous equations. Moreover this course is aimed at showing what constitutes a solid proof....