Artificial Intelligence for Financial Services course empowers you to be part of the Al revolution. The course addresses the application of Al technology in the Financial Services industry and does not require any prior knowledge of Al or any technical background.
Artificial Intelligence for Financial Services course empowers you to be part of the Al revolution. The course addresses the application of Al technology in the Financial Services industry and does not require any prior knowledge of Al or any technical background.
Northeastern University, Boston, US is a thought leader in Artificial Intelligence and provides vital learning to individuals to achieve their strategic business understanding of this emerging technology which can help your career growth.
With 10+ years of expertise, we have refined our training methodology to create a powerful impact on the aspiring minds, leading to a successful and well-planned career. We offer training in certification courses like CPA, CMA, ACCA, CFA, FRM, etc. We provide customized classroom and online learning solutions.
Artificial Intelligence (AI) is the simulation of human intelligence process by machines, especially computer systems. System specifications of AI include expert system, Speech Recognition, Machine vision and Natural Language Processing (NLP).
The science of converting data into actionable intelligence, thus driving business outcomes is known as data science. Data science is the hottest field today creating most of the new jobs in Industry.
The demand and scope for engineers and scientists with knowledge in Data Analytics and Machine Learning will be always high as the volume of ‘Data to be processed’ in the world increases rapidly, according to the present scenario.
AI makes today's machines more intelligent, more accurate and efficient. It presents the knowledge of artificial intelligence principles and approaches. It helps in develop an understanding of building block of artificial intelligence in terms intelligent agents, knowledge, logic, learning.
We will explore the key concepts that are essential to having a holistic view of trustworthy and ethical AI, including several examples of the AI in the real world and the points of conflict or opportunity that could arise. Knowledge of the history of artificial intelligence.
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