Course · AL

Building AI Solutions Using Advanced Algorithms and Open Source Frameworks

IBM SkillsBuild

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This badge earner demonstrates knowledge and understanding in technical and scientific concepts related to building AI solutions with open-source frameworks (such as TensorFlow and Keras) to make model predictions using regression, classification, and clustering algorithms such as Naive Bayes, Logistic regression, K-nearest neighbors, Polynomial Linear Regression, SVM (Kernel), Decision tree, and Ensemble learning, K means and DBSCAN for anomaly detection and computer vision.

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Skills taught

AIAI PipelinesAnomaly DetectionBackpropagationCaffe2Classification AlgorithmsClustering AlgorithmsComputer Vision & CNN ArchitecturesConvolutional Neural Networks (CNNs)DBSCAN moonsDecision Tree AlgorithmEnsemble LearningHigh Dimensional Vector SpacesK MeansK-Nearest Neighbors AlgorithmKeras (Neural Network Library)Logistic Regression And Multivariate Statistical ModelsModel PredictionsNaive Bayes ClassifierNeural Networks And Deep LearningOpen Source FrameworksPWID-B0625900Perceptrons & Neural Network AlgorithmsPolynomial Linear RegressionPyTorch (Machine Learning Library)Recurrent Neural Networks (RNNs)Regression AlgorithmsRestricted Boltzmann MachinesSupport-vector MachinesTensorFlow
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