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Showing 20 of 1293 courses
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Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
  • $199.99
  • 311 lessons
  • Self Paced
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Goals of this course is to implement and experiment with existing algorithms for learning control policies guided by reinforcement, demonstrations and intrinsic curiosity. Eva
  • FREE
  • 9 hrs 15 min
  • Self Paced
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Nearly every problem in machine learning and computational statistics can be formulated in terms of the optimization of some function, possibly under some set of constraints.
  • FREE
  • 9 hrs 3 min
  • Self Paced
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ETH Zurich Spring 2018
The class provides an introduction to the design of digital circuitry. The class covers the basics of the technical foundations of gates. An introduction to hardware descripti
  • FREE
  • 15 hrs 26 min
  • Self Paced
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In this course, we first provide a comprehensive overview of memory systems, taking an approach that covers both fundamentals and recent research. We first introduce fundament
  • FREE
  • 22 hrs 36 min
  • Self Paced
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Other Fall 2017
Learn Python programming with this Python tutorial for beginners!
  • FREE
  • 3 hrs 29 min
  • Self Paced
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Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and mo
  • FREE
  • 21 hrs 45 min
  • Self Paced
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Harvard Spring 2018
Topics include database design, scalability, security, and user experience. Through hands-on projects, you'll learn to write and use APIs, create interactive UIs, and leverage
  • FREE
  • 19 hrs 44 min
  • Self Paced
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Harvard Spring 2018
The course introduces you to modern JavaScript (including ES6 and ES7) as well as to JSX, a JavaScript extension. Through hands-on projects, you'll gain experience with Reac
  • FREE
  • 21 hrs 40 min
  • Self Paced
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Stanford Fall 2017
This course is delivered by professor Michel Deiman of Stanford University. You would learn developing iOS (iPhone & iPad) apps with iOS 11, swift 4. 
  • FREE
  • 23 hrs 57 min
  • Self Paced
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MIT Spring 2016
This is a class about applying autonomy to real-world systems. The overarching theme uniting the many different topics in this course will center around programming a cognitiv
  • FREE
  • 8 hrs 6 min
  • Self Paced
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The application of optimization methods to important engineering problems in thermodynamics, statistics, design, control, economics and scheduling. The course will emphasize p
  • FREE
  • 19 hrs 0 min
  • Self Paced
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In the era of data deluge, the development of methods for discovering structure in high-dimensional data is becoming increasingly important. This course will cover state-of-th
  • FREE
  • 7 hrs 58 min
  • Self Paced
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Statistical Machine Learning,10-702/36-702, is a second graduate level course in advanced machine learning. The term “statistical” in the title reflects the emphasis on st
  • FREE
  • 2 hrs 52 min
  • Self Paced
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Databases and other collections of data are everywhere. Retailers use data about customers and their purchases to make decisions that increase profits. Researchers analyze dat
  • FREE
  • 3 hrs 46 min
  • Self Paced
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Boston University Spring 2017
The first course for computer science majors and anyone seeking a rigorous introduction. Develops computational problem-solving skills by programming in the Python language,
  • FREE
  • 4 hrs 24 min
  • Self Paced
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MIT Fall 2017
This course is an introduction to quantum mechanics for use by chemists. Topics include particles and waves, wave mechanics, semi-classical quantum mechanics, matrix mechani
  • FREE
  • 6 hrs 58 min
  • Self Paced
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Let's get real and talk about hardware acceleration for database management systems. We are flexing hard with another season of database technical talks at Carnegie Mellon Uni
  • FREE
  • 6 hrs 5 min
  • Self Paced
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This course is a comprehensive study of the internals of modern database management systems. It will cover the core concepts and fundamentals of the components that are used i
  • FREE
  • 7 hrs 14 min
  • Self Paced
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This course,15-445/645 Intro to Database Systems, is on the design and implementation of database management systems. Topics include data models (relational, document, key/val
  • FREE
  • 6 hrs 37 min
  • Self Paced