Algorithms

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Python Power Up: Coding Foundations for Data Wizards (edX)

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Python Power Up: Coding Foundations for Data Wizards (edX)
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Begin your data science adventure by mastering Python programming fundamentals, data structures, and basic algorithms. Learn in an interactive environment with hands-on exercises.

Approximation Algorithms (Coursera)

Apr 5th 2024
Approximation Algorithms (Coursera)
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Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example because the problems are NP-hard. The goal of this course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. These techniques apply when we don't require the [...]

Unordered Data Structures (Coursera)

The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a [...]

Practical Steps for Building Fair AI Algorithms (Coursera)

Apr 1st 2024
Practical Steps for Building Fair AI Algorithms (Coursera)
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Algorithms increasingly help make high-stakes decisions in healthcare, criminal justice, hiring, and other important areas. This makes it essential that these algorithms be fair, but recent years have shown the many ways algorithms can have biases by age, gender, nationality, race, and other attributes. This course will teach you [...]

ML Algorithms (Coursera)

Apr 1st 2024
ML Algorithms (Coursera)
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ML Algorithms is the fourth Course in the AWS Certified Machine Learning Specialty specialization. This Course enables learners to deep dive Machine Learning Algorithms. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures.
Apr 1st 2024
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44.00 EUR/month

Dynamic Programming, Greedy Algorithms (Coursera)

Apr 1st 2024
Dynamic Programming, Greedy Algorithms (Coursera)
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This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) and using linear/integer programming solvers for solving optimization problems. We will also cover some advanced topics in data [...]

Machine Learning Algorithms with R in Business Analytics (Coursera)

One of the most exciting aspects of business analytics is finding patterns in the data using machine learning algorithms. In this course you will gain a conceptual foundation for why machine learning algorithms are so important and how the resulting models from those algorithms are used to find actionable [...]

Algorithms for Searching, Sorting, and Indexing (Coursera)

This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of [...]

A Complete Reinforcement Learning System (Capstone) (Coursera)

In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component---problem formulation, algorithm selection, parameter selection and representation design---fits together into a complete solution, and how [...]

Basic Recommender Systems (Coursera)

This course introduces you to the leading approaches in recommender systems. The techniques described touch both collaborative and content-based approaches and include the most important algorithms used to provide recommendations. You'll learn how they work, how to use and how to evaluate them, pointing out benefits and limits of [...]