BigDataFr recommends: Hitchhiker’s Guide to Data Science, Machine Learning, R, Python […] Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of books, courses and conferences are available. You could spend months just figuring out what to do to get started, even to understand what data science is about. […]
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[Datasciencecentral] BigDataFr recommends: Deep Learning: Definition, Resources, Comparison with Machine Learning
BigDataFr recommends: Deep Learning: Definition, Resources, Comparison with Machine Learning […] Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make robots intelligent, such a face recognition techniques used in drones to detect and target terrorists, or pattern recognition / computer vision […]
[Data Science Central] BigDataFr recommends: Data Scientists Automated and Unemployed by 2025!
BigDataFr recommends: Data Scientists Automated and Unemployed by 2025! […] In a recent poll the question was raised “Will Data Scientists be replaced by software, and if so, when?” The consensus answer: Data Scientists automated and unemployed by 2025. Are we really just grist for the AI mill? Will robots replace us? As part of […]
[arXiv] BigDataFr recommends: From Big Data To Important Information
BigDataFr recommends: From Big Data To Important Information […]Advances in science are being sought in newly available opportunities to collect massive quantities of data about complex systems. While key advances are being made in detailed mapping of systems, how to relate this data to solving many of the challenges facing humanity is unclear. The questions […]
[Data Science Central] BigDataFr recommends: Can DeepMind win ‘Jeopardy’ and Watson win ‘Go’?
BigDataFr recommends: Can DeepMind win ‘Jeopardy’ and Watson win ‘Go’? […]We are indeed living in interesting times, where we celebrate human-built machines defeating the best human minds at variety of activities. IBM Deep Blue’s win against Chess champion Gary kasparov in 1997, IBM watson acing Jeopardy in 2011 and now Google DeepMind reportedly wining ‘Go’ […]
[Data Science Central] BigDataFr recommends: Apache Spark and R : The best of both worlds
BigDataFr recommends: Apache Spark and R : The best of both worlds. As folks working in the field of Data Science and Analytics would know, R is one of the best languages to do data analytics and machine learning. Its simple and easy to use syntax and support for a huge library of capabilities makes […]
[arXiv] BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT)
BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT) […]Big data has been emerging as a new approach in utilizing large datasets to optimize complex system operations. Big data is fueled with Internet-of-Things (IoT) services that generate immense sensory data from numerous sensors and devices. While most current […]
[Datasciencecentral] BigDataFr recommends: Data Team for Data Driven Organization
BigDataFr recommends: Data Team for Data Driven Organization A data-driven organization will use the data as critical evidence to help inform and influence strategy. To be data-driven means cultivating a mindset throughout the business to continually use data and analytics to make fact-based business decisions. Becoming a data-driven organization is no longer a choice, but […]
[arXiv] BigDataFr recommends: Security and Privacy Issues of Big Data
BigDataFr recommande: Security and Privacy Issues of Big Data […]This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more […]
[arXiv] BigDataFr recommends: Big Data Analytics = Machine Learning + Cloud Computing #machinelearning
BigDataFr recommends: Big Data Analytics = Machine Learning + Cloud Computing […]In this chapter we review historical aspects of the term « Big Data » and the associated analytics. We augment 3Vs with additional attributes of Big Data to make it more comprehensive and relevant. We show that Big Data is not just 3Vs, but 32 Vs, […]