Search result for What is linear algebra Online Courses & Certifications
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AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 14 hours to complete
This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. Explain the use of linear and logistic regression in supervised learning applications If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses....
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 11 hours to complete
What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics. Introduction: What is Classification?...
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 11 hours to complete
What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics. Introduction: What is Classification?...
Artificial Intelligence Bootcamp 44 projects Ivy League pro
by Gopal Shangari- 3.9
13.5 hours on-demand video
This video course is built for those with a NO understanding of artificial intelligence or Calculus and linear Algebra. There is no field where having an understanding of AI will be a disadvantage. We have many projects, such natural language processing , handwriting recognition, interpolation, compression, bayesian analysis, hyperplanes (and other linear algebra concepts)....
$11.99
Quantum Cryptography
by Stephanie Wehner , Thomas Vidick , Guest Lecturers- 0.0
10 Weeks
Learn how quantum communication provides security that is guaranteed by the laws of nature. How can you tell a secret when everyone is able to listen in? This course assumes a solid knowledge of linear algebra and probability at the level of an advanced undergraduate....
$50
Digital Signal Processing 1: Basic Concepts and Algorithms
by Paolo Prandoni , Martin Vetterli- 4.6
Approx. 29 hours to complete
To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course. 1 What is digital signal processing?...
Digital Signal Processing 2: Filtering
by Paolo Prandoni , Martin Vetterli- 4.7
Approx. 18 hours to complete
To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course. a Linear time-invariant filters...
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Digital Signal Processing 4: Applications
by Paolo Prandoni , Martin Vetterli- 0.0
Approx. 14 hours to complete
To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course. What have we learned?...
Digital Signal Processing 3: Analog vs Digital
by Paolo Prandoni , Martin Vetterli- 4.8
Approx. 16 hours to complete
To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course. What have we learned?...
AI Workflow: AI in Production
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 17 hours to complete
This is the sixth course in the IBM AI Enterprise Workflow Certification specialization. The AI workflow is not a linear process so there is some time dedicated to the most important feedback loops in order to promote efficient iteration on the overall workflow. What is in the Capstone and Associated Review?...