About Conference
COMPUTER SCIENCE MEET 2019
The Computer Science Meet 2019 cordially invites all the participants across the globe to attend the 2nd International Conference on Computer Science, Machine Learning and Big Data which is going to be held during December 16-17, 2019 Dubai, UAE to share the ideas in globally trending technologies in Machine learning, Big data, Artificial Intelligence and many more.
Importance and Scope
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. The current era fully rolled out with many new Artificial Intelligence technologies. In such case, more Software companies and industries were newly introduced within the market which obviously shows the market growth of Artificial Intelligence.
While analyzing the revenue growth of Artificial Intelligence, it highly developed from $150 billion USD to $250 billion USD since from 2010-2015. And the annual growth percentage increases from 20-55 percentages, which clearly shows that Software technology contains huge scope in coming years. Machine learning means using predictive analytics and intelligent automation to formulate data-driven predictions. It allows marketers to identify the likelihood of future outcomes based on historical data. In a recent survey of top marketing influencers, 97% said that the future of marketing will be a combination smart people armed with machine learning – in other words, that machine learning is the future of marketing. Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This Conference provides an overview of machine learning techniques to explore, analyze, and leverage the Bigdata. Machine learning is ideal for exploiting the opportunities hidden in big data.
Artificial Intelligence has witnessed tremendous growth in the recent past due to the necessity for advancement in the areas of machine translation, object perception, and object recognition. The landscape of tools and infrastructure for training and deploying of neural networks via ‘Machine Learning’ is further evolving rapidly. The rapid uptake of artificial intelligence in end-use industries such as retail and business analytics is expected to augment growth over the next few years.
The deep learning & machine learning would cover the major investment area in AI throughout the forecast period. It includes both cognitive applications (i.e. machine learning, searching, tagging, text and rich media analytics, filtering, categorization, clustering, hypothesis generation, question answering, visualization, alerting, and navigation) and AI platforms, which facilitate the development of intelligent, advisory, and cognitively enabled solutions.
Analytics is another major segment expected to witness bullish growth over the coming years and is major because increasing awareness, needs, and adoption of big data analytics among several small and large enterprises. Organizations are increasingly adopting these solutions owing to the growing need to make fact-based strategic business decisions to reduce the risk of failure and excel in this highly competitive environment.
