This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning).
Predictive analytics has proven capable of generating enormous returns across industries – but, with so many machine learning modeling methods, there are some tough questions that need answering:
How do you pick the right one to deliver the greatest impact for your business, as applied over your data?
What are the best practices along the way?
How do you make it sure it works on new data?
In this workshop, renowned practitioner and hugely popular instructor Dr. John Elder will describe the key inner workings of leading machine learning algorithms, demonstrate their performance with business case studies, compare their merits, and show you how to select the method and tool best suited to each predictive analytics project.
Attendees will leave with an understanding of the most popular algorithms, including classical regression, decision trees, nearest neighbors, and neural networks, as well as breakthrough ensemble methods such as bagging, boosting, and random forests.
This workshop will also cover useful ways to visualize, select, reduce, and engineer features – such as principal components and projection pursuit. Most importantly, Dr. Elder reveals how the essential resampling techniques of cross-validation and bootstrapping make your models robust and reliable.
Throughout the workshop day, Dr. Elder will share his (often humorous) stories from real-world applications, highlighting mistakes to avoid.
If you’d like to become a practitioner of predictive analytics – or if you already are and would like to hone your knowledge across methods and best practices – this workshop is for you.
What you will learn:
The tremendous value of learning from data
How to create valuable predictive models with machine learning for your business
Best Practices, with real-world stories of what happens when things go wrong
View Dr. Elder describing his course, “The Best of Predictive Analytics,” in this brief video:
Workshop starts at 9:00am
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: 5:00pm
Coffee breaks and lunch are included.
Dr. John Elder, Founder and Chair, Elder Research
John Elder leads America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Washington DC, Maryland, and North Carolina. Dr. Elder co-authored books on data mining, ensembles, and text mining — two of which won book-of-the-year awards. John was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. Dr. Elder is an (occasional) Adjunct Professor of Engineering at UVA, and was named by President Bush to serve 5 years on a panel to guide technology for national security.
Data Driven Business London
The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques
Information about cookies
What are cookies?
Cookies, among other things, help to make your visit to our website simpler, more pleasant and more logically structured. Cookies are information data which your web browser automatically stores on your computer’s hard disc when you visit our website. Cookies do not do any damage to your computer’s hard disc and they do not transmit any of your personal data to us.
We use the web analysis service Google Analytics to continuously streamline and optimise our sites for users. For this purpose, pseudonymised user profiles are created and small text files are used that are stored on your computer (‘cookies’). The information produced by the cookie about your use of this website, such as
browser type and version
operating system used
referrer URL (the site previously visited)
host name of the accessing computer (IP address)
time of server request
[other data collected]
is transmitted to servers of Google Inc. in the USA and stored there. This information is used to evaluate the use of our website, to compile reports on website activities and to provide other services connected with the use of the website and Internet use for purposes of market research and to enable these Internet sites to be made more user-friendly. If necessary, this information is also transmitted to third parties to the extent that this is prescribed by law or if third parties process the data for us. In no event is the IP address ever brought into association with other data relating to the user. IP addresses are anonymised to prevent them from being matched (IP masking).
Users may configure their browsers to prevent cookies from being installed. However, we would point out that in this case it may not be possible to use all of the functions of this website to the full extent
You can find more information about the web analysis service we use on the website of Google Analytics. You can find instructions for preventing your data being processed by the web analysis service at http://tools.google.com/dlpage/gaoptout?hl=en.
Disable web analysis service
Remarketing / Retargeting
Our website uses retargeting, which allows us to make our online offer more interesting for you. Retargeting technology means we can advertise recently viewed and related products on our partners’ websites, meaning our adverts, even on other companies’ sites, are relevant to what you would like to see. We do this by analyzing user behavior from data collected by our cookies. Even this kind of information is anonymous, with no personal information being stored and no user profiles.
Disable Remarketing / Retargeting
Please keep in mind, all settings here are not applied retroactively and are only valid from the moment of setting.
Google Analytics tracking disabled
The tracking of data on https://datadrivenbusiness.co.uk by the Rising Media Ltd. by means of Google Analytics has been disabled.