Tag: machine learning

North Carolina State University – Master of Science in Analytics

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From North Carolina State: “If you have a mind for mathematics and statistical programming and a passion for working with data, the Master of Science in Analytics (MSA) is your program. The MSA is uniquely designed to equip individuals like yourself for the task of deriving and effectively communicating actionable insights from a vast quantity and variety of data…. Program Content and Structure – Innovate, Practical, Relevant Experience a fully … Continue Reading

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

Carnegie Mellon – Masters of Computational Data Science

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From Carnegie Mellon: “Founded in 2004 as the MSIT in Very Large Information Systems, the MCDS program trains professional master’s students in all aspects of design, engineering and deployment of very large information systems. In the program, you’ll delve deeply into topics like databases, distributed algorithms and storage, machine learning, language technologies, software engineering, human-computer interaction, and design. Through core classes and electives, you’ll develop a unified vision of very … 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

iPython Notebooks

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From GitHub: “This repo contains various iPython notebooks I’ve created to experiment with libraries and work through exercises, and explore subjects that I find interesting.” The notebooks include: Popular Python data science libraries NumPy SciPy Matplotlib Pandas Statsmodels Scikit-learn Seaborn NetworkX PyMC NLTK DEAP Genism Machine Learning Exercises Tensorflow Deep Learning Exercises Spark Big Data Labs Miscellaneous

An Example Machine Learning Notebook

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From GitHub: “In this notebook, I’m going to go over a basic Python data analysis pipeline from start to finish to show you what a typical data science workflow looks like. In addition to providing code examples, I also hope to imbue in you a sense of good practices so you can be a more effective — and more collaborative — data scientist. I will be following along with the … Continue Reading

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