Tag: classification

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

Statistical Learning (Stanford University)

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“This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). This … Continue Reading

Spark and Python for Big Data with PySpark

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From Udemy: “Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more! What Will I Learn? Use Python and Spark together to analyze Big Data Learn how to use the new Spark 2.0 DataFrame Syntax Work on Consulting Projects that mimic real world situations! Classify Customer Churn with Logistic Regression Use Spark with Random Forests for Classification Learn now to use Spark’s Gradient Boosted … Continue Reading

R Reference Card for Data Mining

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This cheat sheet covers the following aspects in data mining in R: Association Rules & Frequent Itemsets Sequential Patterns Classification & Prediction Regression Clustering Outlier Detection Time Series Analysis Text Mining Social Network Analysis and Graph Mining Spatial Data Analysis Statistics Graphics Data Manipulation Data Access Big Data Parallel Computing Generating Reports Interface to Weka Editors/GUIs Other R Reference Cards RDataMining Website, Package, Twitter & Groups

Demystifying Data Science Conference

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FREE Live Online Conference for Aspiring Data Scientists! September 27, 2017: 10:00 am – 10:00 pm EST Are you data curious? Join more than 25 incredible speakers who will demystify data science, and discuss the training, the tools, and the career path to the “best job in the United States.” Register to be notified of new speakers!

DataCamp – Introduction to Machine Learning

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From DataCamp: “This online machine learning course is perfect for those who have a solid basis in R and statistics, but are complete beginners with machine learning. After a broad overview of the discipline’s most common techniques and applications, you’ll gain more insight into the assessment and training of different machine learning models. The rest of the course is dedicated to a first reconnaissance with three of the most basic machine … Continue Reading

Data Intelligence Conference

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Use Promo Code FRIENDSANDFAMILY30  for 30% off your registration fee! Next Event: June 23-25, 2017 – McLean, Va     Friday June 23: 12pm-6pm     Saturday June 24: 10am-6pm     Sunday June 25: 10am-3pm See full schedule From Data Intelligence: “This event aims to bring machine learning engineers and researchers together to share ideas and projects amongst both academic and professional practitioners in the field.” 2017 Speakers

IEEE International Conference on Data Mining

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Next Event: November 18-21, 2017 – New Orleans, LA From ICDM: “The IEEE International Conference on Data Mining series (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications.”

The Data Science Conference

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2017 Events: April 20-21, 2017 – Chicago, IL  September 20-21, 2017 – Seattle, WA From The Data Science Conference: “Vendor-free, Sponsor-free, Recruiter-free” “We have created a conference where the material presented and discussed is substantial and relevant to the data science practitioner; participants don’t use the conference to do business, but interact as scientists; attendees are treated with decency, dignity, and respect. This is a conference, not an Expo.” Fall 2017 Speaker List … Continue Reading

Machine Learning Conference – Tom Tom Founders Festival

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From Tom Tom Founders Festival: “The conference’s emphasis is on advancing the understanding of practical issues of applying data science and machine learning techniques to real world problems.” Previous Event: April 13, 2017 1:00-5:00 pm Charlottesville, VA – Violet Crowne Cinema Speakers include: Doug Bryan, VP of Foundational Data Products, Merkle Taryn Price and Courtney Shindeldecker, Data Scientists, CCRi Dr. Andrew Fast, Chief Scientist, Elder Research Eileen Krepkovich, Biomedical Engineer, Barron … Continue Reading