I continue to be infatuated with the potential of autonomous entities that self-monitor, self-diagnose, self-fix and self-learn without human intervention. The vision of leveraging new digital technologies, growing reams of customer, product and operational data, and advanced analytics to create autonomous entities – farms, oil fields, factories, airports, theme parks, vehicles, ships, trains, etc. – seems like science fiction.
Fortunately, the “3 Horizons of…Continue
Added by Bill Schmarzo on November 4, 2019 at 9:03am — No Comments
devices are going to number around 75.44 billion by 2025. The increase in IoT based technology and development support has influenced many fields to start implementing IoT based technology and devices in their business operations.
Logistics Industry: The Evergreen Industry of All
The logistics industry is the one that is always booming. According…Continue
Added by Shady Johnson on November 4, 2019 at 2:31am — No Comments
Added by Vincent Granville on November 3, 2019 at 11:00am — No Comments
Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
Hexagonal binning with Hexbin: extract from the Visualization chapter
This reference is available…Continue
The IEEE International Conference on Computer Vision received 4,303 papers and accepted 1,075 for the 2019 summit. Bellow is the best paper award.
Source: see paper listed below…Continue
Added by Capri Granville on November 3, 2019 at 10:00am — No Comments
The title of the eBook is Dive in Deep Learning. Below I list the content of chapter 16, dealing with the math of deep learning. But the whole book (entirely free) is worth reading. This is an interactive deep learning book with code, math, and discussions. It is based on the NumPy interface.
The original article is no longer available. Similar (and more comprehensive) material is available below.
Example of underfitted, well-fitted and overfitted models
Added by Vincent Granville on November 2, 2019 at 2:32pm — No Comments
This article was written by Natalie Wolchover.
Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go champions, dream, paint pictures and help make scientific discoveries, they have also confounded their human creators, who never expected so-called “deep-learning”…Continue
Added by Andrea Manero-Bastin on November 1, 2019 at 5:30am — No Comments