At Ruskin Felix Consulting, we make detailed and comprehensive industry and company research reports that analyze the companies and industries externally and internally and estimate the future value and potential of the company/industry. By focusing on both the domestic and international markets, we assess the viability of investing into such industries and build a decision-making framework for our clients. Detailed competitor analysis and overview of major players help our clients take an overall view on the growth potential of the industry.
Through extensive primary research and our in-built models of valuation, we also value the company potential and give investor related advice to our clients.
Deep learning is a subset of artificial intelligence, which, on the other hand, is a subset of machine learning. A general term that refers to techniques that allow computers to imitate human behavior is Artificial Intelligence. Machine Learning reflects a collection of data-trained algorithms that make all this possible. On the other hand, deep learning is just a kind of machine learning, influenced by the human brain’s structure. By continuously analyzing data with a given logical structure, deep learning algorithms try to draw similar conclusions as humans might. Deep learning uses a multi-layered system of algorithms called neural networks to do this. In recent years, all the recent developments in artificial intelligence have been attributed to deep learning. We will not have self-driving vehicles, chatbots or personal assistants like Alexa and Siri without deep learning. The Google Translate app (before Google moved to neural networks for this app) will continue to be as primitive as 10 years ago, and Netflix or YouTube will have no idea what movies or TV shows we like or hate.
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