Automatski - The Internet of Things - Massively Distributed Realtime Machine Learning

1. The Internet of Things – Automatski Corp.
http://www.automatski.com
E: Aditya@automatski.com , Founder & CEO
M:+91-9986574181
E: Shubhadeep.dev@automatski.com , Director - Sales
M: +91-8884074204

2.  Machine Learning
 Limited RAM, CPU, HDD, Bandwidth
 Streaming
 Massively Scalable
 Distributed
 μKernel / μService based
 Running over μReactive Architecture (Ref: Reactive Manifesto)

3. Bayes
 AODE
 AODEsr
 BayesianLogisticRegression
 BayesNet
 ComplementNaiveBayes
 DMNBtext
 HNB
 NaiveBayes
 NaiveBayesMultinomial
 NaiveBayesMultinomialUpdateable
 NaiveBayesMultinomialText
 NaiveBayesSimple
 NaiveBayesUpdateable
 WAODE
Lazy
 IB1
 IBk
 KStar
 LBR
 LWL

4. Multi-Instance
 CitationKNN
 MDD
 MIBoost
 MIDD
 MIEMDD
 MILR
 MINND
 MIOptimalBall
 MIRI
 MISMO
 MISVM
 MITI
 MIWrapper
 SimpleMI
 TLD
 TLDSimple
Miscellaneous
 HyperPipes
 InputMappedClassifier
 MinMaxExtension
 OLM
 OSDL
 SerializedClassifier
 VFI

5. Meta
 AdaBoostM1
 AdditiveRegression
 AttributeSelectedClassifier
 Bagging
 ClassificationViaClustering
 ClassificationViaRegression
 CostSensitiveClassifier
 CVParameterSelection
 Dagging
 Decorate
 END
 EnsembleSelection
 FilteredClassifier
 Grading
 GridSearch
 LogitBoost
 MetaCost
Meta
 MultiBoostAB
 MultiClassClassifier
 MultiClassClassifierUpdateable
 MultiScheme
 OneClassClassifier
 OrdinalClassClassifier
 RacedIncrementalLogitBoost
 RandomCommittee
 RandomSubSpace
 RealAdaBoost
 RegressionByDiscretization
 RotationForest
 Stacking
 StackingC
 ThresholdSelector
 Vote
 ClassBalancedND
 DataNearBalancedND
 ND

6. Functions
 GaussianProcesses
 IsotonicRegression
 LeastMedSq
 LibLINEAR
 LibSVM
 LinearRegression
 Logistic
 MLPClassifier
 MLPRegressor
 MultilayerPerceptron
 PaceRegression
 PLSClassifier
Functions
 RBFNetwork
 RBFClassifier
 RBFRegressor
 SimpleLinearRegression
 SimpleLogistic
 SGD
 SGDText
 SMO
 SMOreg
 SPegasos
 SVMreg
 VotedPerceptron
 Winnow

7. Trees
 ADTree
 BFTree
 DecisionStump
 ExtraTree
 FT
 HoeffdingTree
 Id3
 J48
 J48graft
Trees
 LADTree
 LMT
 M5P
 NBTree
 RandomForest
 RandomTree
 REPTree
 SimpleCart
 UserClassifier

8. Clustering
 CLOPE
 Cobweb
 DBScan
 EM
 FarthestFirst
 FilteredClusterer
 HierarchicalClusterer
 MakeDensityBasedClusterer
 OPTICS
 sIB
 SimpleKMeans
 XMeans
Rule Learners
 Apriori
 FilteredAssociator
 FPGrowth
 GeneralizedSequentialPatterns
 HotSpot
 PredictiveApriori
 Tertius

9. 1. Restricted Boltzmann machines
2. Convolutional Nets
3. Stacked Denoising Autoencoders
4. Recurrent Nets/LSTMs Recursive autoencoders
5. Deep-belief networks
6. Deep Autoencoders Recursive Neural Tensor Networks
*** Coming in the 4th Release, early 2016 CE

10.  Analytical Customer Relationship Management (CRM)
 Clinical Decision Support Systems
 Collection Analytics
 Cross-sell
 Customer retention
 Direct Marketing
 Fraud Detection
 Portfolio, Product or Economy-level prediction
 Risk management
 Underwriting
 Preventive Maintenance
 Routing & Scheduling
 Security & Compliance
 Cost Reduction
 New Business Model Development

11.  The Rest of the Automatski Architecture functions like a DSPE – Distributed
Stream Processing Engine albeit a huge platform superset compared to
conventional DSPE’s
 ML Algorithms fit into a micro kernel alongside other micro kernels like CEP,
Rule Engine, Workflow Engine, GPGPU HPC Engine etc.

13.  10-20+ years of Software Engineering experience each
 Global Agile & Technology Consulting, Advisory & Delivery experience of 10-15+ years since Agile and
Tech was in Infancy.
 The first computers we worked on were Atari and ZX Spectrum ;-) And yes after Basic we went to
C/C++ and then straight to Assembly Programming and then -> we began our journey as technologists
 Globally Distributed Global & Fortune Company work Experience
 Worked with companies like BCG, McKinsey, Fidelity, Tesco, Goldman Sachs…
 Long 3-5+ year projects & Over 200+ people globally distributed teams
 Led Double Digit Multi-Billion US$ Projects
 Blended methodology used comprising of Scrum, XP, Lean and Kanban
 From there we rode every wave J2EE, RUP, Six Sigma, CMMI, SIP, Mobile, Cloud, Big Data, Data
Science etc…
 Individually worked with over 300+ Technologies at a time, literally nothing that scares us 
 Authors, Speakers, Coach’s, Mentors, Scientists, Engineers, Technologists, Marketing, Sales, HR,
Finance…
 We are Generalists and we Always start with First Principles.

14.  Please refer to http://automatski.com for more information
 Please go through the 2 minute demo, 5 minute demo…
 And the showcase section of the website for more information…
 Or email us on aditya@automatski.com
 Or just give us a shout on Linkedin, Facebook, Twitter, Email etc.