Tag: algorithms

Carnegie Mellon University – Master of Science in Machine Learning

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From Carnegie Mellon: “The Machine Learning Department is made up of a multi-disciplinary team of faculty and students across several academic departments. Machine learning is dedicated to furthering the scientific understanding of automated learning, and to producing the next generation of tools for data analysis and decision making based on that understanding…. The MS in Machine Learning is ideal for students considering a career in industry or as preparation for … Continue Reading

Columbia University – Master of Science in Data Science

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From Columbia: “The Master of Science in Data Science allows students to apply data science techniques to their field of interest, building on four foundational courses offered in our Certification of Professional Achievement in Data Sciences program. our students have the opportunity to conduct original research, included in a capstone project, and interact with our industry partners and faculty. Students may also choose an elective track focused on entrepreneurship or … Continue Reading

Columbia University – Certification of Professional Achievement in Data Science

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From Columbia: “The Certification of Professional Achievement in Data Sciences prepares students to expand their career prospects or change career paths by developing foundational data science skills. Join us from anywhere in the world as this program is now also offered online.” Required/Core Courses: Algorithms for Data Science: Methods for organizing data, e.g. hashing, trees, queues, lists, priority queues. Streaming algorithms for computing statistics on the data. Sorting and searching. … Continue Reading

Cheat Sheet – 10 Machine Learning Algorithms & R Commands

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From Bytes Cravings: “This article lists down 10 popular machine learning algorithms and related R commands (& package information) that could be used to create respective models. The objective is to represent a quick reference page for beginners/intermediate level R programmers who are working on machine learning related problems…. Following are the different ML algorithms included in this article: Linear Regression Logistic Regression K-Means Clustering K-Nearest Neighbors (KNN) Classification Naive … Continue Reading

Cheat Sheet: Algorithms for Supervised and Unsupervised Learning

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A document with common machine learning algorithms for supervised and unsupervised learning, covering: K-nearest neighbour Naive Bayes Log-linear Perceptron Support vector machines K-means Mixture of Gaussians

Essentials of Machine Learning Algorithms (with Python and R Codes)

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From Analytics Vidhya: “Today, as a data scientist, I can build data crunching machines with complex algorithms for a few dollors per hour. But, reaching here wasn’t easy! I had my dark days and nights…. The idea behind creating this guide is to simplify the journey of aspiring data scientists and machine learning enthusiasts across the world. Through this guide, I will enable you to work on machine learning problems and … Continue Reading

Enterprise Data World

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Next Event: April 27-28, 2018 San Francisco, CA “The 21st Annual Enterprise Data World (EDW) Conference is recognized as the most comprehensive educational conference ondata management in the world. Your Transformation to Data-Driven Business Starts Here!” 2018 Registration Videos from previous conferences

The Machine Learning Conference

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Upcoming Event: November 10th San Francisco, CA From ML Conference website: “MLconf gathers communities to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets.” MLconf Blog 2017 Registration

Artificial Intelligence Conference – O’Reilly

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Upcoming Events: September 17-20, 2017 – San Francisco, CA April 29 – May 2, 2018 – New York, NY From Artificial Intelligence Conference: “What’s covered: Case studies of successful enterprise AI implementations Designing AI-enabled products or incorporating AI into existing data products Improvements in conversational interfaces—including chatbots, NPL, NLU, and speech Reinforcement learning & applying machine learning in highly dynamic environments Unlocking data through image recognition, computer vision, and classification and … Continue Reading

PyData – Seattle

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2017 Event: July 5th – 7th From PyData Seattle:  “PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in data management, processing, analytics, and visualization. We aim to be an accessible, community-driven conference, with tutorials for … Continue Reading