Search result for Algorithms Online Courses & Certifications
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Competitive Programming for Beginners
by Filipp Rukhovich , Ilia Stepanov , Oleg Hristenko , Vladislav Nevstruev- 0.0
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Approx. 153 hours to complete
After this course, you will learn what types of problems you will have to solve at the competitions, what is the effective program, how to estimate the algorithms efficiency, how to use basic algorithms and ideas during the problems solution. Module 1: Basic Algorithms Basic Algorithms Linear Algorithms Basic Algorithms...
Mining Massive Datasets
by Jeffrey D. Ullman , Jure Leskovec , Anand Rajaraman- 0.0
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7 Weeks
The major topics covered include: MapReduce systems and algorithms, Locality-sensitive hashing, Algorithms for data streams, PageRank and Web-link analysis, Frequent itemset analysis, Clustering, Computational advertising, Recommendation systems, Social-network graphs, Dimensionality reduction, and Machine-learning algorithms. MapReduce systems and algorithms Algorithms for data streams Machine-learning algorithms...
$149
An introduction to algorithms in Python
by Herman Martinus- 4.3
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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....
$12.99
Learn Machine Learning From Scratch
by Shokal Shah- 2.8
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37 mins on-demand video
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions....
$9.99
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering....
Applied Quantum Computing III: Algorithm and Software
by Pramey Upadhyaya , Avinash Rustagi- 0.0
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5 Weeks
Learn domain-specific quantum algorithms and how to run them on present-day quantum hardware. The goal of part III is to discuss some of the key domain-specific algorithms that are developed by exploiting the fundamental quantum phenomena (e. Quantum Fourier transform and search algorithms Hybrid quantum-classical algorithms Quantum annealing, simulation, and optimization algorithms Quantum machine-learning algorithms...
$750
Quantum Machine Learning
by Peter Wittek- 0.0
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9 Weeks
In this course we will introduce several quantum machine learning algorithms and implement them in Python. The goal of this course is to show what benefits current and future quantum technologies can provide to machine learning, focusing on algorithms that are challenging with classical digital computers. ·      Implement learning algorithms on quantum computers in Python...
$49
Machine Learning using Python
by EDU CBA- 3.7
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3.5 hours on-demand video
This training is an introduction to the concept of machine learning, its algorithms and application using Python. Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. This training is an introduction to the concept of machine learning, its algorithms and application using Python. Classification Algorithms Regression Algorithms...
$12.99
Algorithmic Thinking (Part 1)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms....
Algorithmic Design and Techniques
by Pavel Pevzner , Daniel Kane , Alexander S. Kulikov , Michael Levin- 0.0
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6 Weeks
In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn basic algorithmic techniques and ideas for computational problems, which arise in practical applications such as sorting and searching, divide and conquer, greedy algorithms and dynamic programming. Best practices of implementing algorithms efficiently...
$99
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