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.… Read More »Making Sense of the Wild World of Hadoop PART II: Clustering
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… Read More »How to Create a Successful Data Strategy
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… Read More »Resampling Methods: Bootstrap vs jackknife
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… Read More »AIOT Summit – Personal Invitation
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… Read More »Top 6 AI Companies to Start Your ML Project
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 individual… Read More »Understanding Dataflow graphs in TensorFlow
Leverage AI to Create Autonomous Policies that Adapts without Human Intervention Policies are the foundation for any successful organization. Policies are the rules, or laws,… Read More »Leverage AI to Create Autonomous Policies that Adapts without Human Intervention
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… Read More »Automated Speech Processing using Filter Banks and MFCCs
This article was written by Ed Sperling. Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president… Read More »Machine Learning’s Limits (Part 1): Why machine learning works in some cases and not in others.
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… Read More »Machine Learning vs Statistics vs Statistical Learning in One Picture
