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Optimization Methods for Business Analytics
by James Orlin , Khizar Qureshi- 0.0
6 Weeks
Theoretical components of the course are made approachable, and require no formal background in linear algebra or calculus. Students interested in the material prior to deciding on course enrollment can visit the MIT Open Courseware version of 15. Theoretical aspects of Linear Programming Proficiency with linear and nonlinear solvers...
$49
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)...
Kinetics: Studying Spacecraft Motion
by Hanspeter Schaub- 4.8
Approx. 21 hours to complete
Kinetics: Course Introduction 3: Continuous System Linear Momentum Concept Check 3 - Linear Momentum Torque Free Motion 1: Torque Free Motion Polhode Plots 2: Torque Free Motion Axisymmetric Solution 3: Torque Free Motion General Inertia Case 4: Torque Free Motion Integrals of Motion 5: Torque Free Motion Phase Space Plots 6: Torque Free Motion Attitude Precession...
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
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...
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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...
Statistics Primer for Data Scientist's
by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!- 4.2
3 hours on-demand video
Statistics, Math, Linear Algebra If we talk in general about Data Science, then for a serious understanding and work we need a fundamental course in probability theory (and therefore, mathematical analysis as a necessary tool in probability theory), linear algebra and, of course, mathematical statistics....
$12.99