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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

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How universities are using AI to power operational efficiency

Trigent

The role of technology in the education industry has witnessed some monumental trendsetters, right from 2019, which saw the advent of Big Data , Internet of Things (IoT), and Machine Learning. Students are classified based on their learning ability and content designed to suit each learning style.

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National Security Software On Wall Street: Cognitio’s Roger Hockenberry Comments

CTOvision

The Wall Street Journal examined this trend in their piece titled: Spy Software Gets a Second Life on Wall Street. Conceived as a company specializing in “machine learning,” a branch of computer science dealing with programs that can learn from data and make better predictions, Digital Reasoning struggled during its first couple of years.

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Can DevSecOps Undo DoD’s Broken Software Failures?

Marv's Smart Future

The software component of complex SoS capabilities have now grown to become the dominant and controlling element of most DoD programs. More recently government led complex software LSI efforts have also failed to deliver needed capability on an acceptable cost, performance, and schedule, program plan.

Software 105
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Top Data science books you should definitely read

Apiumhub

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

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Precision Medicine: How Healthcare Providers Can Prepare for the Future of Medicine

Altexsoft

It exists on the pages of peer-reviewed medical journals and research papers. Several years into the program, we already see some initial successes and have a rough implementation plan for providers ready to tap into the potential. There have been advances in developing machine learning algorithms for diagnostics.

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The Good and the Bad of Hadoop Big Data Framework

Altexsoft

The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting. Source: The Wall Street Journal. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.