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AI & Machine Learning Development

How can you encapsulate subject matter expertise in order to augment or replace complex time-consuming decision making tasks? How can you make your automated customer interactions more natural and human-like? How can you uncover subtle patterns and make decisions that involve complicated new types of streaming data? How can you build intelligent self-learning AI Chatbots that is integrated into your business logic and workflow.

Artificial Intelligence, or AI, focuses on understanding core human abilities such as vision, speech, language, decision making, and other complex tasks, and designing machines and software to emulate these processes.

Machines inherently are not smart and to make them so, we need a lot of computing power and data to empower them to simulate human thinking. Smart Source AI Professionals have a strong knowledge of engineering and machine learning principlesa with good working knowledge of the python Data Science stack (e.g., NumPy, SciPy, pandas, scikit-learn, Statsmodels, etc), employ one or more deep learning frameworks (e.g., TensorFlow, Theano, Torch, Deeplearning4j, etc), and leverage distributed data tools (e.g., Hadoop, Spark, Flink, etc).