Search result for What is linear algebra Online Courses & Certifications
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Troubleshooting and Debugging Techniques
by Google Career CertificatesTop Instructor- 4.6
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Approx. 19 hours to complete
What is debugging? What is binary search? Linear and Binary Search (Optional) Why is my computer slow? What to do when you can't fix the program?...
Algorithmic Thinking (Part 2)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. What is Algorithmic Thinking?...
Machine Learning Foundations: A Case Study Approach
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 18 hours to complete
Do you have data and wonder what it can tell you? Machine learning is changing the world What is the goal and how might you naively address it? What is an intelligent restaurant review system? What is the document retrieval task? What is a visual product recommender? What happens after deployment? Where is ML going?...
Battery State-of-Charge (SOC) Estimation
by Gregory Plett- 4.8
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Approx. 28 hours to complete
2: What is the importance of a good SOC estimator? 4: What are some approaches to estimating battery cell SOC? 6: Summary of "Introducing the linear KF as a state estimator" and next steps Coming to understand the linear Kalman filter 7: Summary of "Coming to understand the linear KF" and next steps...
Logistic Regression in Python
by Start-Tech Academy- 4.1
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7.5 hours on-demand video
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i. What makes us qualified to teach you? What is covered in this course? What is Machine Learning? What is the difference between Data Mining, Machine Learning, and Deep Learning?...
$12.99
Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps
by Mary Hudachek-Buswell- 0.0
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5 Weeks
Heaps approach access differently and prioritize what data is accessed. The HashMap ADT is a collection of key-value pairs. SkipLists are a probabilistic data structures where data is placed in the structure based on a randomization procedure. The course design has several components and is built around modules....
$149
Circular Economy: An Introduction
by Ken Webster , Conny Bakker , David Peck , Ester van der Voet- 0.0
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7 Weeks
Our global society is not sustainable. Episode 1: What is the circular economy? How can the circular economy provide solutions to the challenges our current, linear economy brings? It is currently being rediscovered as a promising business opportunity. The shift from linear to circular should not be underestimated. It will also ask, is the circular economy really sustainable?...
$50
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Machine Learning With TensorFlow: The Practical Guide
by Eduonix Learning Solutions- 3.9
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6.5 hours on-demand video
What makes this course so valuable? Installation of Tensorflow on Windows, Mac and Linux is clearly shown. This course also covers various algorithms like linear regression, logistic regression, NN regression, K-Means algorithm and others. Herein, advanced machine learning is also well elaborated with the topics of neural networks, convolution neural networks, recurrent neural networks and so on....
$9.99
Fundamentals of Engineering Exam Review
by Dr. Philip Roberts- 4.7
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Approx. 22 hours to complete
The purpose of this course is to review the material covered in the Fundamentals of Engineering (FE) exam to enable the student to pass it. Algebra and Linear Algebra: Complex numbers and logarithms Algebra and Linear Algebra: Matrices and determinants Linear Regression...
Machine Learning: Classification
by Emily Fox , Carlos Guestrin- 4.7
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Approx. 21 hours to complete
This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data. -Implement these techniques in Python (or in the language of your choice, though Python is highly recommended). What is this course about? Case-study where accuracy is not best metric for classification What is good performance for a classifier?...
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