… Intelligent processing and analysis of this big data are the key to developing smart IoT …
the various machine learning methods that deal with the challenges presented by IoT data by …

… In this paper, we discuss about the smarter big data analysis with the use case of smart … on
the machine learning techniques and how the deep learning helps in analysis of data and for …

… This study addresses the supervised and unsupervised machine learning … data analysis.
Obtaining optimal results in smart data analysis requires an in-depth understanding of data …

… of the machine learning for IoT. The main challenges and trends of the machine learning …
Traditional data analysis was used to explaining about the past data. The trend of the IoT is …

… Hence, this claim of doing deep learning could be a telltale sign that this company may not
be conducting careful statistical analysis. We will now go into the challenges of deep learning…

… the flair of Deep Learning for analyzing data generated from … Deep Learning architectures,
their role in IoT data analytics … have leveraged deep learning models for IoT data analytics. …

… The architecture depicted here—an open-source data analysis stack developed in the
Algorithms, Machines and People (AMP) Laboratory at the University of California, Berkeley—…

… in machine learning and Internet of Things to … Big Data Analytics as described by Babar and
Arif [7]. The investigators describing this article have used advances in data acquisition, data …

… of machine learning algorithms in unstructured data analysis through the support of big
data storage technology, big data analysis technology and big data processing technology. …

… together with data analytics and machine learning (eg, smart … of new machine learning
algorithms in embedded systems. … fundamentals of data analytics and machine learning. Then, …