Search result for Understanding algorithms for beginners Online Courses & Certifications
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Optimization problems and algorithms
by Seyedali Mirjalili- 4.4
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8 hours on-demand video
How to understand, formulate, and tackle the difficulties of optimization problems using heursitic algorithms in Matlab Single-objective optimization algorithms i truly recommend this course to all who would like to learn optimization\PSO or those who would like to sharpen their understanding in optimization. It gives us clear picture of the algorithms used in optimization....
$20.99
Fundamentals of Reinforcement Learning
by Martha White , Adam White- 4.8
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Approx. 15 hours to complete
Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. After completing this course, you will be able to start using RL for real problems, where you have or can specify the MDP. Jonathan Langford: Contextual Bandits for Real World Reinforcement Learning...
Fundamental Data Structures & Algorithms using C language.
by Shibaji Paul- 4.5
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15.5 hours on-demand video
Learn Data Structures and algorithms for Stack, Queue, Linked List, Binary Search Tree and Heap ( using C Programming ). How to calculate them for different algorithms. What is stack, algorithms for Push and Pop operation. Singly Linked List - developing algorithms for various methods and then implementing them using C programming...
$12.99
Algorithmic futures trading - Investing with no experience
by Viktor Neustroev- 2.9
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1.5 hours on-demand video
Learn how to choose automated trading strategies and force them to earn money for you! This course is for beginners as well as for advanced traders and algorithm developers! All you need is just your aspiration to learn!...
$12.99
Principles of Computing (Part 2)
by Scott Rixner , Joe Warren , Luay Nakhleh- 4.8
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Approx. 16 hours to complete
Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms. Practice Activity - Binary representations for numbers...
Natural Language Processing in TensorFlow
by Laurence Moroney- 4.6
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Approx. 14 hours to complete
This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Notebook for lesson 1 Notebook for lesson 2 Notebook for lesson 3 News headlines dataset for sarcasm detection...
Probabilistic Graphical Models 1: Representation
by Daphne Koller- 4.6
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Approx. 67 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more....
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Music Mastermind: Learn the 7 Elements of Music(2020 Update)
by Andrew J. Smith- 4.6
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3.5 hours on-demand video
Now, his premium music theory course is available on Udemy! It is designed for both complete beginners and somewhat-established musicians who want a deeper understanding of music. You can be playing and understanding music in no time! Andrew simplifies complicated topics with straight-forward, structured, and energetic teaching - so get ready to make music like a seasoned musician!...
$12.99
Dart - Advanced Course
by Bryan Cairns- 4.2
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2.5 hours on-demand video
This is NOT a beginners course! To take this course you should have at least an intermediate level understanding of the Dart programming language. When in doubt please complete the dart for beginners and dart intermediate courses I have on Udemy....
$12.99
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD
by Greg Mayer- 0.0
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3 Weeks
You will construct the diagonalization of a symmetric matrix, which gives a basis for the remainder of the course. Compute orthogonal projections and distances to express a vector as a linear combination of orthogonal vectors, construct vector approximations using projections, and characterize bases for subspaces, and construct orthonormal bases...
$199
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