Search result for Mathematical learning Online Courses & Certifications
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Mathematical Foundations of Machine Learning
by Dr Jon Krohn- 4.5
15.5 hours on-demand video
Matrix Operations for Machine Learning This Mathematical Foundations of Machine Learning course is complete, but in the future we intend on adding bonus content from related subjects beyond math, namely: probability, statistics, data structures, algorithms, and optimization. Understand the fundamentals of linear algebra and calculus, critical mathematical subjects underlying all of machine learning and data science...
$17.99
Secure and Private AI
by Andrew Trask- 0.0
Approx. 2 months
If you're using traditional Deep Learning tools, this means persuading someone to send you a copy of a sensitive dataset....
Free
Mathematical Foundation For Machine Learning and AI
by Eduonix Learning Solutions- 4.4
4.5 hours on-demand video
Learn the core mathematical concepts for machine learning and learn to implement them in R and python However, learning to write algorithms for AI and ML isn’t easy and requires extensive programming and mathematical knowledge. mathematical foundation required for writing programs and algorithms help you breakdown the difficult mathematical concepts known to man...
$9.99
Learning From Data (Introductory Machine Learning)
by Yaser S. Abu-Mostafa- 0.0
10 Weeks
Introductory Machine Learning course covering theory, algorithms and applications. Identify basic theoretical principles, algorithms, and applications of Machine Learning Elaborate on the connections between theory and practice in Machine Learning Master the mathematical and heuristic aspects of Machine Learning and their applications to real world situations...
$49
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Deep Learning Transfer Learning Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
Probability and Statistics in Data Science using Python
by Alon Orlitsky , Yoav Freund- 0.0
10 Weeks
Probability and Statistics provide the mathematical foundation for such reasoning. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks. The mathematical foundations for machine learning...
$350
Machine Learning A-Z: Become Kaggle Master
by Geekshub Pvt Ltd- 3.7
36.5 hours on-demand video
Master Machine Learning Algorithms Using Python From Beginner to Super Advance Level including Mathematical Insights. Unsupervised Learning Deep Learning Master Machine Learning on Python Learn All the Mathmatics Required to understand Machine Learning Algorithms Implement Machine Learning Algorithms along with Mathematic intutions Learning End to End Data Science Solutions Learn All Statistical concepts To Make You Ninza in Machine Learning...
$19.99
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MathTrackX: Polynomials, Functions and Graphs
by Dr Danny Stevenson , Dr David Butler , Dr Brendan Harding , Dr Melissa Humphries- 0.0
4 Weeks
Develop an understanding of polynomials, functions and graphs and how these build the foundation for more complex mathematical concepts. This course is part one of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world....
$79
Analysis of Transport Phenomena II: Applications
by Martin Bazant , Joey Gu- 0.0
17 Weeks
Mathematical modeling of fluid dynamics, convection, conduction, and phase transformations. In this course, you will learn to apply mathematical methods for partial differential equations to model transport phenomena in chemical engineering. The engineering applications and mathematical methods that you learn in this course will advance your career in industry or academics....
$149
Signals, Systems, and Learning
by Richard G. Baraniuk- 0.0
8 Weeks
Learn the mathematical backbone of data science. Signals, systems, and transforms: from their theoretical mathematical foundations, to practical implementation in circuits and computer algorithms, to machine learning algorithms that convert signals into inferences. While data science tools are more readily available now than ever before, properly using these tools requires a mathematical understanding of the algorithms within....
$249