Df14 Building Machine Learning Systems with Apex
- 1. Building Machine Learning Systems in Apex Jen Wyher Technical Architect @jenwyher Paul Battisson Technical Architect @pbattisson
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- 3. Jennifer Wyher Technical Architect at Mavens Consulting @jenwyher
- 4. Paul Battisson Technical Architect at Mavens Consulting @pbattisson Summer ’14 Force.com MVP @forcedotcomcast
- 5. Mavens Consulting • Preferred Life Sciences implementation partner for salesforce.com and Veeva • 60+ consultants located across North America and Europe • 12 Mavens in attendance at #Dreamforce14, speaking in 7 different technical sessions
- 6. o a , Baseline setting - Who has worked on a machine learning system before?
- 7. What is Machine Learning? Autonomous vehicles Spam filtering Search engines Data analysis
- 8. o a , “Field of study that gives computers the ability to learn without being explicitly programmed” - Arthur Samuel, 1959
- 10. Supervised You provide the system with some guidance $200k $120k $100k $180k $110k $???
- 11. Why Apex? • Governor limits make it hard to do long running or big jobs with apex • Showing the power of the platform
- 12. K-Means Clustering • Account targeting • Medical diagnosis aid • Data segmentation “given a group of m different data points derive k clusters of related items”
- 13. The Algorithm • Initialize K centroids • Assign each training example to it’s “nearest” centroid • Reset the centroid as the mean of all assigned examples • Repeat until the centroid is fixed
- 14. The Algorithm • Initialize K centroids • Assign each training example to it’s “nearest” centroid • Reset the centroid as the mean of all assigned examples • Repeat until the centroid is fixed
- 15. How we thought it would work
- 16. How it does work
- 17. Demo
- 18. The Need For Speed • Chained Batches – Batches creating batches • Speedier loops – Remove around 90% of CPUTime – See http://goo.gl/mR5GZe • JSON serialize/deserialize and attachments – Quick and effective way of storing data – Attachments have much larger limit (around 10x the amount of data) • Running totals (stateful batch) – Saves repeated loops • Javascript Remoting for charting – Loading so many attachments destroys heap size – Use remoting to load attachments for display asynchronously
- 19. Future Ideas • Recommendation Engines – Content – Products/services • Neural Networks – Lots of number processing – Chaining will be key • Real time sites recommendations – Think Amazon recommendations
Editor's Notes
- #2: Paul - 30 secs
- #3: Paul
- #4: Paul
- #5: Paul
- #6: JOE and if you’re not familiar with mavens we are the preferred healthcare and life sciences partner for salesforce.com and veeva we have about 60 consultants located across North America and Europe and we have 12 mavens in attendance at #dreamforce14, speaking in 7 different technical sessions and we’re feeling a little extra pride right now, earlier today, we won the salesforce partner innovation award for marketing, so I figured id toot our horn a bit
- #7: Paul - EOS = 2 mins
- #8: Paul - EOS =3
- #9: Paul - EOS = 4
- #10: Paul - EOS = 6
- #11: Paul - EOS - 8
- #13: Jen - EOS = 12 Simple but still lots of iterations and calculations K-Mean Clustering Algorithm. How does the algorithm work? Feed it a large amount of dataset (eg: your sales data). The end result of the calculations, the data points are a pre-defined # of clustering (k # of clustering) groupings of the provided data set. Identifying data points with the most similarities. Account Target Customized marketing plan. Cardiology vs a neurologist Medical Diagnosis Aid Could have a tumor based on profile, probability of having certain diseases. Data Segmentation Cluster into groups to analyze
- #14: Jen - EOS = 14
- #15: Jen - EOS = 14 Diagram shows you 2-dimensional, but imagine that you can do this analysis for 5, 10, even 100 attributes to the observation.
- #16: Jen - EOS = 18 Saving too much data Our calculations were running long .. And actually our goal at this time was to be able to analyze on 11 datapoints.
- #17: Chained Batches, Winter ‘13. Start a Batch Apex job from within another Batch Apex job. Purist, and use matrix operations.
- #18: Jen - Demo - EOD = 24
- #21: Paul - EOS = 25