Search result for Mit introduction to algorithms Online Courses & Certifications
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Artificial Intelligence Algorithms Models and Limitations
by Brent Summers- 4.7
Approx. 8 hours to complete
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. Getting Started: Algorithms Example of simple algorithms, and how to sort...
Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)
by Shimon SchockenTop Instructor- 4.9
Approx. 90 hours to complete
In this project-centered course you will build a modern software hierarchy, designed to enable the translation and execution of object-based, high-level languages on a bare-bone computer hardware platform. The only prerequisite is knowledge of programming at the level acquired in introduction to computer science courses. Postscript: More Fun to Go 1: More Fun To Go...
Automated Reasoning: satisfiability
by Hans Zantema- 4.8
Approx. 25 hours to complete
In this course you will learn how to apply satisfiability (SAT/SMT) tools to solve a wide range of problems. Several basic examples are given to get the flavor of the applications: fitting rectangles to be applied for printing posters, scheduling problems, solving puzzles, and program correctness. Introduction to SAT Introduction to the Simplex method...
Capstone: Analyzing (Social) Network Data
by Christine Alvarado , Mia Minnes , Leo Porter- 4.7
Approx. 18 hours to complete
In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks! Welcome and Course Introduction Introduction to (some) social network data By the end of this capstone, you will be able to . Capstone Warmup Assignment: Where to get help...
Optimization: principles and algorithms - Unconstrained nonlinear optimization
by Michel Bierlaire- 0.0
6 Weeks
Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods. Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods. Formulation: you will learn from simple examples how to formulate, transform and characterize an optimization problem. Solving equations, Newton: this is a reminder about Newton's method to solve nonlinear equations....
$49
An introduction to algorithms in Python
by Herman Martinus- 4.3
43 mins on-demand video
Basic sorting algorithms to get you started in the beautiful world of computer science. This introduction to algorithms course is a comprehensive kick-start into the beautiful world of computer science. All the course content is simple to understand and relevant to real world application....
$12.99
Introduction to Data Structures & Algorithms
by Swastik Arora- 3.9
16.5 hours on-demand video
This course is for all those people who want to learn data structure and Algorithm from absolute basic to Intermediate level. We don't expect you to have any prior knowledge on Data Structure or Algorithm, but a basic prior knowledge of any Programming Language(preferably C++) will be helpful....
$12.99
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Advanced Algorithms and Complexity
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
Approx. 27 hours to complete
You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. We finish with a soft introduction to streaming algorithms that are heavily used in Big Data processing. Such algorithms are usually designed to be able to process huge datasets without being able even to store a dataset....
Self-Driving Cars with Duckietown
by Jacopo Tani , Andrea Censi- 0.0
10 Weeks
Self-driving cars with Duckietown is a practical introduction to vehicle autonomy. It explores real-world solutions to the theoretical challenges of automation, including their implementation in algorithms and their deployment in simulation as well as on hardware. The scope of this introductory course is to go from zero to having a self-driving car safely driving on a road....
$50
Identifying Patient Populations
by Laura K. Wiley, PhD- 4.5
Approx. 13 hours to complete
In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. Introduction to Computational Phenotyping Introduction to Manual Record Review Introduction to Specialization Instructors Introduction to Course Example Introduction to Manual Record Review Practical Application: Develop a Computational Phenotyping Algorithm to Identify Patients with Hypertension...