Data miningCloud computingBig dataData scientistDistributed computingDistributed platformsApplying popular machine learning algorithms to large amounts of data has raised new challenges for machine learning practitioners. Traditional libraries do not support properly the processing of huge data sets, so the ...
21]. In the sector of mental health, recent studies have begun to harness the potential of DNNs and ‘big data’, especially in domains which are particularly data-rich, such as online social media platforms or smartphone and mobile
Geoscientific processes have commonalities and dissimilarities between regions which could potentially be collectively leveraged by a big-data learning procedure. However, because traditional calibration procedures are generally applied to each location individually, they cannot exploit such commonalities: in othe...
At the first sight, general audience relates Big Data processing with distributed platforms like Apache Hadoop and Spark. The contiguity goes there for Volume in conformity with Veracity characteristic (Nguyen et al. 2018) as well as high-speeds in processing and inference in background. In the ...
Spark is one of the premier platforms for highly scalable big data analytics and machine learning. Spark 2.0 launched in mid-2016 and brings several improvements such as the revised machine learning library (MLLib), scaling and performance optimization, bett...
6 Top AutoML Frameworks for Machine Learning Applications (May 2019) In this post, we 6 key automated machine learning (AutoML) platforms that can assist data scientists to accelerate machine learning development. 1. What Is AutoML? 1.1 Overview ...
Moreover, there are few open-source RL experimentation platforms for cybersecurity, which makes it difficult for researchers to address real-world problems and advance the state-of-the-art in RL cybersecurity applications [33]. Innovative RL-based solutions for cybersecurity may be difficult to ...
Looking for the best eLearning platform? This post took an in-depth look at five eLearning platforms that are a perfect fit for corporate training. All of the solutions may seem very similar at first sight, but each one comes with its own unique capabilities. Are you in search for a ...
For example, business intelligence platforms can include handing of big data, and they frequently do, but the categorization helps to find the core focus of the platform compared to the other services. If you know the service core focus, you'll understand if you are an ideal customer for the...
they begin one of their own. This has led to a great deal of fragmentation among existing big data platforms. Both of these issues can contribute to the difficulty of building a learning environment, as many options have overlapping use cases, but diverge in important areas. Because there is...