ODSC Europe Virtual Conference | September 17- 19, 2020

R for Data Science

Learn the latest models, packages, and tools from the top practitioners and R Data Scientists
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R, long one of the most popular languages for statistical modeling, has evolved into a data science powerhouse platform with dozens of packages and interfaces for machine learning, deep learning, data visualization, and various other data science methods.

This advanced language is used for performing complex statistical modeling and provides support for operations on arrays, matrices, and vectors. Its many graphical libraries allow users to delineate aesthetic graphs and also develop web-applications using R Shiny, which is used for embedding visualizations in web-pages. R also provides  several options for advanced data analytics like prediction modeling and advanced machine learning algorithms. With interfaces to popular frameworks like TensorFlow and Keras, R users can easily build and deploy the latest deep learning models. 

What You'll Learn

Talks, Tutorials, and hands-on workshop and training sessions for this focus area include:

Topics

  • Machine Learning with R

  • Deep Learning with R

  • Statistical Modeling

  • Predictive Analytics

  • Data Analysis

  • Data Visualization

  • Text Analytics

  • Natural Language Parsing (NLP)

Models

  • Regression

  • Classification

  • Bayesian Models

  • Machine Learning Models

  • Deep Learning Models

  • Gradient Boosting 

  • Time Series Models 

  • Random Forest  

  • KNN, SVM, & LDA 

Tools 

  • MLR

  • R Shiny & tidyr

  • ggplot2

  • Caret 

  • TensorFlow and Keras Interfaces

  • R Markdown

  • XGBoost

  • tm & OpenNLP 

  • e1071 & dplyr

ODSC EUROPE Virtual Conference 2020 | September 17 - 19

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Some of Our Previous Track Speakers

FounderOnPoint Insights

Nirav Shah

Nirav Shah is the Founder of OnPoint Insights, data analytics, software services, and staff augmentation consultancy based in Boston. He has 15 years of industry experience – mainly in consulting on data analytics, big data modeling, process analytics, and real-time data solutions, and training customers in data analytics, dashboards, and data visualization.

He consults and teaches in applying data analytics for manufacturing, operations, supply chain, process control strategies with clients to improve the manufacturing process and operational efficiency. He has implemented real-time process monitoring data analytics and fault detection systems for leading biopharma customers and clients from other industries such as chemical, pulp, and paper, food and beverages. He helps customers in providing better process insights using data-driven solutions.

He is also an Adjunct Professor at the University of Massachusetts in Boston where he teaches Engineering Process Analytics, a graduate-level class in the Engineering Department,  teaches Business Analytics and Dashboard Visualization at a technical college and conducts BootCamps and Workshops at General Assembly Boston.  He has taught courses and conducted workshops to industry clients on Multivariate Data Analysis for ten years. He has spoken at various conferences ( ODSC East Boston, ODSC India, Global AI).

He completed his dual Masters in Chemical and Computer Engineering from the University of Massachusetts and an MBA in Entrepreneurship from Babson College.

Data Analysis, Dashboards and Visualization – How to Create Powerful Visualizations Like a Zen Master(Training)

Lead Data ScientistInsideTracker

Svetlana Vinogradova, PhD

Svetlana Vinogradova is a Data Scientist at Inside Tracker, leading the Data Science team to integrate blood biomarkers and DNA data with physiological data from activity trackers to improve lifestyle recommendations and discover new patterns and optimal zones in sleep, heart rate, and blood biomarkers.
Prior to Inside Tracker, Svetlana was a research fellow at Dana Farber Cancer Institute and Harvard Medical School where she worked as a bioinformatician developing statistical methods to study epigenetic mechanisms affecting gene expression.
Svetlana has a PhD in Bioinformatics and Mathematical Biology from Lomonosov Moscow State University. During her PhD, she worked on developing algorithms to study RNA secondary structures and also enjoyed teaching and developing bioinformatics, algorithms, and R programming courses.

Building Personalized Scores for Customers: How to Combine Different Data Types and Learn in the Process (Talk)

Computational BiologistDana Farber Cancer Institute

Aedin Culhane, PhD

Experienced computational biologist, R/Bioconductor developer, whose research seeks to uncover the molecular changes which give rise or promote cancer development. Aedin’s team curates GeneSigDB, a database of over 3,500 gene signatures (or genesets) and they develop gene set-based approaches for large scale integrated data analysis.

Specialties: bioconductor, R, bioinformatics, genomics, multivariate analysis, biostatistican, microarray, gene expression, computational biology, breast cancer, ovarian cancer.

Finding Correlated Trends across multiple Data Sets using Matrix Factorization(Talk)


Why Attend

Several of the best minds and biggest names in data science will be presenting

Network with attendees from leading data science companies to learn how others are tackling similar problems

Gain quality training in the hottest data science topics, tools, and languages

Learn the latest in data science from industry leaders without having to make room in the budget — tickets are surprisingly affordable

More Reasons To Attend?

Download the why attend guide

Who will attend

  • Some of the world’s best data science speakers

  • The brains and authors behind today’s most popular open data science tools, topics, and languages

  • Hundreds of attendees focused on data science

  • Chief Data Scientists

  • Thought leaders working in data science

  • Data Scientists and Analysts

  • Software Developers

  • CEOs, CTOs, CIOs

  • Data Visualization professionals

  • Venture Capitalists and Investors

  • Startup Founders and Executives

  • Attendees from Healthcare, Finance, Education, Business, Intelligence, and other industries

  • Big data and data science innovators

ODSC EUROPE Virtual Conference 2020 | September 17 - 19

Register Now
Open Data Science

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