The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately,
many application domains do not have access to big data because acquiring data involves a …

With the emerging technologies and all associated devices, it is predicted that massive
amount of data will be created in the next few years–in fact, as much as 90% of current data …

Although deep learning has made great progress in recent years, the exploding economic
and environmental costs of training neural networks are becoming unsustainable. To …

Deep learning has revolutionized the fields of computer vision, natural language
understanding, speech recognition, information retrieval, and more. However, with the …

In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

Big data analytics is one of the emerging technologies as it promises to provide better
insights from huge and heterogeneous data. Big data analytics involves selecting the …

Big Data is no fad. The world is growing at an exponential rate, and so is the size of data
collected across the globe. The data is becoming more meaningful and contextually …

With the continuous and vast increase in the amount of data in our digital world, it has been
acknowledged that the number of knowledgeable data scientists can not scale to address …

Explore and master the most important algorithms for solving complex machine learning
problems. Key Features Discover high-performing machine learning algorithms and …

While deep learning is an exciting new technique, the benefits of this method need to be
assessed with respect to its computational cost. This is particularly important for deep …