Search result for Mit algorithms course Online Courses & Certifications
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Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity
by Isaac Chuang , Aram Harrow- 0.0
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4 Weeks
This is the course for you! Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. 3x: Advanced quantum algorithms and information theory 2x course module will cover in depth the methods of fault-tolerant quantum computation; the concept of quantum supremacy, and quantum algorithms at scale. A prior course (or strong background) in quantum mechanics is required....
$49
Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
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15 Weeks
You will complete this course and three others from MITx, at a similar pace and level of rigor as an on-campus course at MIT, and then take a virtually-proctored exam to earn your MicroMasters, an academic credential that will demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities....
$300
Quantum Information Science II: Quantum states, noise and error correction
by Isaac Chuang , Aram Harrow- 0.0
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4 Weeks
This is the course for you! Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. 2x: Efficient quantum computing - fault tolerance and algorithms 1x course module will cover in depth density matrices and noisy quantum operations, and advanced quantum error correction codes. A prior course (or strong background) in quantum mechanics is required....
$49
Quantum Information Science II: Advanced quantum algorithms and information theory
by Isaac Chuang , Aram Harrow- 0.0
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4 Weeks
Learn how quantum algorithms and communication protocols apply in complex and advanced scenarios. 3x: Advanced quantum algorithms and information theory 3x course module draws upon quantum complexity and quantum information theory, to cover in depth advanced quantum algorithms and communication protocols, including Hamiltonian simulation, the hidden subgroup problem, linear systems, and noisy quantum channels....
$49
Quantum Information Science I, Part 2
by Isaac Chuang , Peter Shor- 0.0
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5 Weeks
Have you already taken a foundational introduction to quantum computing course and want to continue with simple quantum protocols and quantum algorithms? This is the course for you! This course will help you understand what quantum computers can do and how they work. MIT gratefully acknowledges major support for this course, provided by IBM Research....
$49
Quantum Information Science II
by Isaac Chuang- 0.0
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9 Weeks
Learn about quantum computation and quantum information in this advanced graduate level course from MIT. This is the course for you! In this advanced graduate physics course on quantum computation and quantum information, we will cover: Quantum Fourier transform-based algorithms (factoring, simulation) “This course is hard!” -- Anonymous MIT graduate student Structures of exponentially-fast quantum algorithms...
$49
Quantum Information Science I, Part 1
by Isaac Chuang , Peter Shor- 0.0
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5 Weeks
This is the course for you! This course is part of a three-course series that provides an introduction to the theory and practice of quantum computation. 2x: Simple quantum protocols and algorithms – teleportation and superdense coding, the Deutsch-Jozsa and Simon’s algorithm, Grover’s quantum search algorithm, and Shor’s quantum factoring algorithm...
$49
Autonomous Mobile Robots
by Roland Siegwart , Margarita Chli , Marco Hutter , Davide Scaramuzza- 0.0
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15 Weeks
Basic concepts and algorithms for locomotion, perception, and intelligent navigation. The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments. The lectures and exercises of this course introduce several types of robots such as wheeled robots, legged robots and drones....
$50
Optimization Methods for Business Analytics
by James Orlin , Khizar Qureshi- 0.0
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6 Weeks
Theoretical components of the course are made approachable, and require no formal background in linear algebra or calculus. The recommended audience for this course is undergraduates, as well as professionals interested in using optimization software. Students interested in the material prior to deciding on course enrollment can visit the MIT Open Courseware version of 15....
$49
Collaborative Data Science for Healthcare
by Louis Agha-Mir-Salim , Leo Anthony Celi , Marie-Laure Charpignon , Kenneth Eugene Paik- 0.0
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12 Weeks
This course was created by members of MIT Critical Data, a global consortium that consists of healthcare practitioners, computer scientists, and engineers from academia, industry, and government, that seeks to place data and research at the front and center of healthcare operations. This course provides an introductory survey of data science tools in healthcare through several hands-on workshops and exercises....
$49
