Search result for Linear algebra course mit Online Courses & Certifications
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Applied AI with DeepLearning
by Romeo Kienzler , Niketan Pansare , Tom Hanlon , Max Pumperla , Ilja Rasin- 4.4
Approx. 24 hours to complete
>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. We’ll learn about the fundamentals of Linear Algebra and Neural Networks. If you’ve ever wanted to become better at anything, this course will help serve as your guide. Course Logistics Linear algebra...
Python Machine Learning : Learn Handson™
by Handson ™- 4.7
7.5 hours on-demand video
Naive Bayes Classifier, Decision tree, PCA, kNN classifier, linear regression, logistic regression,SVM classifier Learn to use Python, the ideal programming language for Machine Learning, with this comprehensive course from Hands-On System. Linear Regression, SVR, Decision Tree Regression, Random Forest Regression Linear Algebra Review: Eigen value decomposition. Using in-built Python libraries for solving linear regression problem....
$12.99
Beginning Algebra: Building a Foundation
by Joe Huston- 4.4
11.5 hours on-demand video
The curriculum of the Beginning Algebra course correlates with high school algebra 1 and college developmental math. This course covers algebraic topics including integers and real numbers, solving equations, graphing linear equations, polynomials, radicals and square roots, factoring, exponents, and applications (word problems). Solve Linear Equations Graph Linear Equations with a variety of methods...
$13.99
Statistics and R
by Rafael Irizarry , Michael Love- 0.0
4 Weeks
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. 2x: Introduction to Linear Models and Matrix Algebra...
$249
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
Approx. 9 hours to complete
This course takes you from understanding the fundamentals of a machine learning project. You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Scikitlearn documentation for linear regression (Optional)...
Computing for Data Analysis
by Richard (Rich) Vuduc- 0.0
15 Weeks
For instance, “under the hood” of modern data analysis lies numerical linear algebra, numerical optimization, and elementary data processing algorithms and data structures. The hands-on component of this course will develop your proficiency with modern analytical tools....
$825
Machine Learning Prerequisites for 2021
by Pythonist org- 4.3
1.5 hours on-demand video
Learn the foundation and prerequisites to become a Machine Learning Engineer In this course, you are going to learn the prerequisites for machine learning. Machine Learning is a vast subject that involved various other fields like Mathematics and Statistics which makes it complex....
$12.99
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Robotics: Aerial Robotics
by Vijay Kumar- 4.5
Approx. 18 hours to complete
Mathematical prerequisites: Students taking this course are expected to have some familiarity with linear algebra, single variable calculus, and differential equations. Dynamics and 1-D Linear Control...
Matlab and Octave in Jupyter Notebook
by Sourabh Sinha- 3.9
2 hours on-demand video
Linear Algebra using Matlab/Octave...
$12.99
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
Approx. 8 hours to complete
This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. By the end of this course you should be able to: Course Introduction About this Course...