From Algorithms and Data Structures for Massive Datasets by Dzejla Medjedovic, Emin Tahirovic, and Ines Dedovic
This article covers:
· Learning what Bloom filters are, why and when they are useful
· Understanding how Bloom filters work
· Configuring a Bloom filter in a practical setting
· Exploring the interplay between Bloom filter parameters
From Transfer Learning for Natural Language Processing by Paul Azunre
This article delves into using shallow transfer learning to improve your NLP models.
From Real-World Cryptography by David Wong
In this article, the author teaches readers about the Diffie-Hellman key exchange standard, which was the very first key exchange algorithm ever invented, and the Elliptic Curve Diffie-Hellman key exchange standard, which is the Diffie-Hellman built with elliptic curves.
From Transfer Learning for Natural Language Processing by Paul Azunre
This article discusses getting started with baselines and generalized linear models.
From Classic Computer Science Problems in Java by David Kopec
The Cool Way to Search Text
By Scott Penbertht and Chris Mattmann
| Andrew Ferlitsch reveals new paradigms–and patterns–for automated deep learning
Andrew Ferlitsch, from the developer relations team at Google Cloud AI, is so far out on the cutting edge of machine learning and artificial intelligence that he has to invent new terminology to describe what’s happening in Cloud AI with Google Cloud’s enterprise clients. In this interview with editors at Manning Publications, he talks about the current and coming changes in machine learning systems, starting with the concept of model amalgamation. Ferlitsch is currently writing a book, Deep Learning Design Patterns, which collects his ideas along with the most important composable model components. |
From Making Sense of Edge Computing by Cody Bumgardner
Conceptually, edge computing is concerned with when it’s best to migrate computational functionally toward source of data and when it is best to move the data itself. This abstract concept of function versus data migration drives not only the fundamental motivations of edge computing, but also the broader field of distributed systems. The act of distributing processes makes even the simplest tasks more complicated.
From Succeeding with AI by Veljko Krunic
This article discusses how to get practical business results from AI and how this book will help you learn how to do it.
From Interpretable AI by Ajay Thampi
