Author: Puran Bashir

Machine Learning with R: A Hands-on Introduction from Robert Muenchen at Machine Learning Week, Las Vegas

Join Robert Muenchen’s workshop about Machine Learning with R at Machine Learning Week on May 31 – June 4, 2020 in Las Vegas! 

Workshop Description 
The Workshop will take place in May 31, 2020. 

R offers a wide variety of machine learning (ML) functions, each of which works in a slightly different way. This one-day, hands-on workshop starts with ML basics and takes you step-by-step through increasingly complex modeling styles. This workshop makes ML modeling easier through the use of packages that standardize the way the various functions work. When finished, you should be able to use R to apply the most popular and effective machine learning models to make predictions and assess the likely accuracy of those predictions.

The instructor will guide attendees on hands-on execution with R, covering:
    • A brief introduction to R’s tidyverse functions, including a comparison of the caret and parsnip packages
    • Pre-processing data
    • Selecting variables
    • Partitioning data for model development and validation
    • Setting model training controls
    • Developing predictive models using naïve Bayes, classification and regression trees, random forests, gradient boosting machines, and neural networks (more, if time permits)
    • Evaluating model effectiveness using measures of accuracy and visualization
    • Interpreting what “black-box” models are doing internally
Hardware: Bring Your Own Laptop
Each workshop participant is required to bring their laptop. Software installation instructions are available at http://r4stats.com/workshops/PAW2020. Attendees receive an electronic copy of the course materials and related R code after the workshop.

See more information about the workshop here.

The Premier Machine Learning Conference (15% discount code)

Attend any or all of the five jointly scheduled events! Get an additional 15% discount on your booking with the code RBLOGGERSMLW . Join us in Las Vegas for the largest Predictive Analytics World event to date! Learn more



5 days, 8 tracks, 160 speaker and over 150 exciting sessions

Join the Machine Learning Week 2020, May 31 – June 4, Las Vegas! It brings together five co-located events:
 

    • Predictive Analytics World for Business
    • Predictive Analytics World for Financial Services
    • Predictive Analytics World for Industry 4.0
    • Predictive Analytics World for Healthcare
    • Deep Learning World
gathering the top practitioners and the leading experts in data science and machine learning. By design, this mega-conference is where to meet the who’s who and keep up on the latest techniques, making it the leading machine learning event.  You can expect top-class experts from world-famous companies such as: 

– Google: Join Richard Dutton (Head of Machine Learning for Corporate Engineering) at his session “How Google Uses AI and Machine Learning in the Enterprise”!
– Lyft: Gil Arditi (Product Lead, Machine Learning) will speak about “From Self-Driving to Fraud Detection – How Lyft Streamlines Machine Learning Deployment”.
– LinkedIn: You want to learn something about launching artificial intelligence products? Then the session from Priyanka Gariba (Head of Artificial Intelligence Technical Program Management) fits best for you!
– Visa: Abhishek Joshi ‘AJ’ (Senior Director) will explain you “The Predictive Power of Card Transaction Data”.
– Microsoft: Jaya Mathew (Senior Data Scientist) will present you “Getting the Most out of Your IoT Data: Basics of Predictive Maintenance, Bootstrapping you Model with Your Data & Comparing the Traditional vs Deep Learning Methodologies”
– Verizon: Join Bryan Larish Ph.D. (Director of Technology) at his session “Auditing Cellular Networks with Deep Learning”

 See the full 8-track agenda here.

What are the 5 conferences about?

Predictive Analytics World for Business focuses on concrete examples of deployed predictive analytics. Hear from the horse’s mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy machine learning, and the kind of business results they achieve. Predictive Analytics World for Financial Services is the leading data science event covering the deployment of machine learning by banks, insurance companies, credit card companies, investment firms, and other financial institutions. The Predictive Analytics World Healthcare program will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can witness how data science and machine learning are employed at leading enterprises, resulting in improved outcomes, lower costs, and higher patient satisfaction. Predictive Analytics World for Industry 4.0 is the leading vendor-neutral conference for machine learning for smart manufacturing and IoT. Data scientists, industrial planners, and other machine learning experts will meet in Las Vegas to explore the latest trends and technologies in machine & deep learning for the IoT era. Deep Learning World is the premier conference covering the commercial deployment of deep learning. The event’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods.

Attend any or all of the five jointly scheduled events! Get an additional 15% discount on your booking with the code RBLOGGERSMLW . Join us in Las Vegas for the largest Predictive Analytics World event to date! Learn more

Workshop – R Bootcamp: For Newcomers to R

Sunday, June 16, 2019 in Las Vegas

Two and a half hour workshop: 2:00pm-4:30pm

Intended Audience:
Practitioners who wish to learn the nuts and bolts of the R language; anyone who wants “to turn ideas into software, quickly and faithfully.” Knowledge Level: Experience with handling data (e.g. spreadsheets) or hands-on familiarity with any programming language.

Workshop Description

This afternoon workshop launches your tenure as a user of R, the well-known open-source platform for data science and machine learning. The workshop stands alone as the perfect way to get started with R, or may serve to prepare for the more advanced full-day hands-on workshop, “R for Predictive Modeling”. Designed for newcomers to the language of R, “R Bootcamp” covers the R ecosystem and core elements of the language, so you attain the foundations for becoming an R user. Topics include common tools for data import, manipulation and export. If time allows, other topics will be covered, such: as graphical systems in R (e.g. LATTICE and GGPLOT) and automated reporting. The instructor will guide attendees on hands-on execution with R, covering:
  • A working knowledge of the R system
  • The strengths and limitations of the R language
  • Core language features
  • The best tools for merging, processing and arranging data
Hardware: Bring Your Own Laptop Each workshop participant is required to bring their own laptop running Windows or OS X. The software used during this training program, R, is free and readily available for download. Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.

Workshop – R for Machine Learning: A Hands-On Introduction

Monday, June 17, 2019 in Las Vegas

Full-day Workshop: 8:30am – 4:30pm

Intended Audience:
Practitioners who wish to learn how to execute on predictive analytics by way of the R language; anyone who wants “to turn ideas into software, quickly and faithfully.” Knowledge Level: Either hands-on experience with predictive modeling (without R) or both hands-on familiarity with any programming language (other than R) and basic conceptual knowledge about predictive modeling is sufficient background and preparation to participate in this workshop. The 2 1/2 hour “R Bootcamp” is recommended preparation for this workshop.
Workshop Description
This one-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. Real examples are employed in order to methodically expose attendees to best practices driving R and its rich set of predictive modeling (machine learning) packages, providing hands-on experience and know-how. R is compared to other data analysis platforms, and common pitfalls in using R are addressed. The instructor will guide attendees on hands-on execution with R, covering:
  • A working knowledge of the R system
  • The strengths and limitations of the R language
  • Preparing data with R, including splitting, resampling and variable creation
  • Developing predictive models with R, including the use of these machine learning methods: decision trees, ensemble methods, and others.
  • Visualization: Exploratory Data Analysis (EDA), and tools that persuade
  • Evaluating predictive models, including viewing lift curves, variable importance and avoiding overfitting
Hardware: Bring Your Own Laptop
Each workshop participant is required to bring their own laptop running Windows or OS X. The software used during this training program, R, is free and readily available for download. Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.

Schedule

  • Workshop starts at 8:30am
  • Morning Coffee Break at 10:30am – 11:00am
  • Lunch provided at 12:30pm – 1:15pm
  • Afternoon Coffee Break at 3:00pm – 3:30pm
  • End of the Workshop: 4:30pm
Coffee breaks and lunch are included.
REGISTER NOW


Instructor

Brennan Lodge, Data Scientist VP, Goldman Sachs

Brennan is a self-proclaimed data nerd. He has been working in the financial industry for the past ten years and is striving to save the world with a little help from our machine friends. He has held cyber security, data scientist, and leadership roles at JP Morgan Chase, the Federal Reserve Bank of New York, Bloomberg, and Goldman Sachs. Brennan holds a Masters in Business Analytics from New York University and participates in the data science community with his non-profit pro-bono work at DataKind, and as a co-organizer for the NYU Data Science and Analytics Meetup. Brennan is also an instructor at the New York Data Science Academy and teaches data science courses in R and Python.