Search result for Machine learning and linear algebra Online Courses & Certifications
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Eigenvectors and Eigenvalues
by Ortal Arel- 0.0
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Approx. 1 weeks
Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications. lesson 1 Vectors Linear Transformation lesson 2 Definitions and Calculations Characteristic Equation of a matrix Eigenvalues Eigenvectors lesson 3 Why is the relevant to Machine Learning?...
Free
Machine Learning Prerequisites for 2021
by Pythonist org- 4.3
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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
Introduction to Machine Learning Course
by Katie Malone , Sebastian Thrun- 0.0
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Timeline Approx. 10 Weeks
This class will teach you the end-to-end process of investigating data through a machine learning lens. lesson 5 Choose your own Algorithm Decide how to pick the right Machine Learning Algorithm among K-Means, Adaboost, and Decision Trees. lesson 6 Datasets and Questions Apply your Machine Learning knowledge by looking for patterns in the Enron Email Dataset....
Free
Machine Learning and Data Science Essentials with Python & R
by AkaSkills! 35,000+ Students- 4.4
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5.5 hours on-demand video
Master Machine Learning with Python, Tensorflow & R. Machine learning is increasingly shaping future of work and jobs. With an average salary of $120,000 (Glassdoor and Indeed), Machine Learning will help you to get one of the top-paying jobs. Master Machine Learning using Python and R Practical Machine Learning Problems and solution...
$11.99
Modern Deep Convolutional Neural Networks with PyTorch
by Denis Volkhonskiy- 4.2
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2 hours on-demand video
Advanced techniques for Deep Learning and Representation learning Dear friend, welcome to the course "Modern Deep Convolutional Neural Networks"! I tried to do my best in order to share my practical experience in Deep Learning and Computer vision with you. Matrix calculus, Linear Algebra, Probability theory and Statistics Basics of Machine Learning: Regularization, Linear Regression and Classification,...
$11.99
Optimizing Machine Learning Performance
by Anna Koop- 4.6
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Approx. 12 hours to complete
You will understand and define procedures to operationalize and maintain your applied machine learning model. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii). Machine Learning in Production and Planning Review Care and Feeding of your Machine Learning System...
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
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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....
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Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
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Approx. 28 hours to complete
Machine learning is transforming the world around us. To become successful, you’d better know what kinds of problems can be solved with machine learning, and how they can be solved. - build and apply linear models for classification and regression tasks; With these skills, you will be able to tackle many practical machine learning tasks....
Data Science and Machine Learning with Python and Libraries
by The Data X Startup- 4.3
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7 hours on-demand video
Learn Data Science and Machine Learning with Python and Libraries such as Numpy, Matplotlib, Pandas and much more This machine learning phenomenon helps the company in producing better products. He should also be good at programming and CS fundamentals. Linear Algebra Hypothesis and Inference Machine Learning Simple Linear Regression And Much More...
$11.99
Data for Machine Learning
by Anna Koop- 4.4
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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). This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....
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