Search result for Mit introduction to algorithms Online Courses & Certifications
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Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. Introduction to Unsupervised Learning and K Means Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Clustering Introduction to Unsupervised Learning...
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. Introduction to Unsupervised Learning and K Means Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Clustering Introduction to Unsupervised Learning...
Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity
by Isaac Chuang , Aram Harrow- 0.0
4 Weeks
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. Knowledge of linear algebra is also strongly recommended, and other helpful math topics to know include probability and finite fields....
$49
Quantum Information Science I, Part 3
by Isaac Chuang , Peter Shor- 0.0
7 Weeks
Want to learn about the foundations of quantum communication, including quantum channels and quantum key distribution? This course is the final part of a three-course series that provides an introduction to the theory and practice of quantum computation. MIT gratefully acknowledges major support for this course, provided by IBM Research. Distributed quantum protocols and algorithms...
$49
Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
15 Weeks
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Students will implement and experiment with the algorithms in several Python projects designed for different practical applications. Master the skills needed to be an informed and effective practitioner of data science....
$300
Introduction to Graduate Algorithms
by Eric Vigoda , Arpan Chakraborty- 0.0
Approx. 3 months
The design and analysis of algorithms form an essential basis for computer science. This course is useful for those who want to pursue advanced studies in computer science, as well as those who want to work as a software engineer. Learn advanced techniques for designing algorithms and apply them to hard computational problems....
Free
Computational Thinking for Problem Solving
by Susan Davidson- 4.7
Approx. 18 hours to complete
But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. 1 Introduction to Python Solution to Conditionals Programming Activity Solution to Lists Programming Assignment Solution to Loops Programming Assignment Solution to Functions Programming Assignment...
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Quantum Information Science II: Quantum states, noise and error correction
by Isaac Chuang , Aram Harrow- 0.0
4 Weeks
Already know something about quantum mechanics, quantum bits and quantum logic gates, but want to design new quantum algorithms, and explore multi-party quantum protocols? 2x: Efficient quantum computing - fault tolerance and algorithms Knowledge of linear algebra is also strongly recommended, and other helpful math topics to know include probability and finite fields....
$49
I/O-efficient algorithms
by Mark de Berg- 4.6
Approx. 10 hours to complete
An operation on data in CPU registers is roughly a million times faster than an operation on a data item that is located in external memory that needs to be fetched first. In order to successfully take this course, you should already have a basic knowledge of algorithms and mathematics. - O-notation, Ω-notation, Θ-notation; how to analyze algorithms...
Quantum Information Science II: Advanced quantum algorithms and information theory
by Isaac Chuang , Aram Harrow- 0.0
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