Programme

Our Expertise

Our machine-learning expertise across approaches, data types, tools and technologies.

Business Intelligence & Analytics Lab (BIAL)

Our Expertise

Machine Learning Approaches

Supervised Learning

Regression
Classification

Unsupervised Learning

Anomaly Detection
Clustering & Retrieval
Dimensionality Reduction
Collaborative Filtering

Reinforcement Learning

Websites
Text & Images
Audios & Videos
Social networks
Log files

Technology

Our machine-learning stack

SaaS

Google Machine LearningAmazon Machine LearningAzure Machine Learning

Frameworks

Spark MLlibTensorFlowScikit-learn

Machine Learning Models

LinearRidgeLassoElastic NetGeneralizedDecision treeRandom ForestGradient BoostedSurvivalIsotonicKernalsLogistic regressionRandom ForestAdaBoostSupport Vector Machine (SVM)Naive BayesKernalsK-meansLatent Drichlet Allocation (LDA)Bisecting K-meansGaussian Mixture Model (GMM)K Nearest Neighbors (kNN)Local Outlier FactorMoving Z-scoreBayesian ChangepointsArtificial Neural Network (ANN)Recurrent Neural Network (RNN)Convolutional Neural Network (CNN)

Optimization Algorithms

Gradient descentCoordinate descentBoostingGrid SearchMini Batch Gradient DescentOne-Vs-The-RestOne-Vs-OneExpectation-maximization (EM)Locality Sensitive Hashing (LSH)Brute ForceKD TreeBall TreePrincipal Component Analysis (PCA)Singular Value Decomposition (SVD)Stochastic Gradient Descent (SGD)Alternating Least Squares (ALS)Uni/Multivariate Gaussian DistributionAdam OptimizerReluSigmoid

Languages

SCALAPythonRJAVA