In my last blog I introduced us to Hadoop, which allows companies to process, store and analyze Petabytes, Exabytes and even Yottabytes worth of data. And not just the ki...
With rapid advances in AI and data science, data has become an essential asset to every enterprise. Setting up a data strategy, therefore, has become every enterpriseR...
Resampling is a way to reuse data to generate new, hypothetical samples (called resamples) that are representative of an underlying population. It’s used when: You ...
Dear colleague, I would like to personally invite you to attend a unique and interesting conference: AIoT Dev Summit which I believe is an exciting step forward in Data S...
There are a lot of AI Companies that offer Machine Learning development. Even choosing the right ones for your project could take a decent amount of time, not even mentio...
In order to be a highly efficient, flexible, and production-ready library, TensorFlow uses dataflow graphs to represent computation in terms of the relationships between ...
Leverage AI to Create Autonomous Policies that Adapts without Human Intervention Policies are the foundation for any successful organization. Policies are the rules, or...
This article was written by Haytham Fayek. Speech processing plays an important role in any speech system whether its Automatic Speech Recognition (ASR) or speaker recogn...
This article was written by Ed Sperling. Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheil...
Statistics, Statistical Learning, and Machine Learning are three different areas with a large amount of overlap. Despite that overlap, they are distinct fields in their o...