Technology Landscape & Tools for Data Management

This Skillsoft Aspire course explores various tools you can utilize to get better data analytics for your organization. You will learn the important factors to consider when selecting tools velocity the rate of incoming data volume the storage capacity or medium and the diversified nature of data in different formats. This course discusses the various tools available to provide the capability of implementing machine learning deep learning and to provide AI capabilities for better data analytics. The following tools are discussed: TensorFlow Theano Torch Caffe Microsoft cognitive tool OpenAI DMTK from Microsoft Apache SINGA FeatureFu DL4J from Java Neon and Chainer. You will learn to use SCIKIT-learn a machine learning library for Python to implement machine learning and how to use machine learning in data analytics. This course covers how to recognize the capabilities provided by Python and R in the data management cycle. Learners will explore Python; the libraries NumPy SciPy Pandas to manage data structures; and StatsModels. Finally you will examine the capabilities of machine learning implementation in the cloud.