From Engineering Deep Learning Systems by Chi Wang and Donald Szeto
This article presents what prospective readers can expect to learn from this book and why you should learn it.
Read it if you’re a software developer interested in transitioning your skills to the field of deep learning system design or an engineering-minded data scientist who want to build more effective delivery pipelines.
From Data Analysis with Python and PySpark by Jonathan Rioux
This chapter covers using transformer and estimators to prepare data into ML features.
An excerpt from Julia as a Second Language by Erik Engheim
This article covers:
What type of problems Julia solves.
The limits of statically-typed languages.
Why the world needs a fast dynamically-typed language.
How Julia increases programmer productivity.
Read it if you’re interested in the Julia language and its strengths and weaknesses.
An excerpt from Data Mesh in Action by Jacek Majchrzak, Sven Balnojan, and Marian Siwiak
This excerpt covers
● What is a “Data Mesh”? Our definition of a Data Mesh
● What are the key concepts of the Data Mesh paradigm?
● What are the advantages of the Data Mesh?
From Data Analysis with Python and PySpark by Jonathan Rioux
This article covers
· Using pandas Series UDF to accelerate column transformation compared to Python UDF.
· Addressing the cold start of some UDF using Iterator of Series UDF.
From Data Analysis with Python and PySpark by Jonathan Rioux
This article covers
· Using pandas Series UDF to accelerate column transformation compared to Python UDF.
· Addressing the cold start of some UDF using Iterator of Series UDF.
From Data Analysis with Python and PySpark by Jonathan Rioux
This article covers window functions and the kind of data transformation they enable.
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 Making Sense of Edge Computing by Cody Bumgardner & Caylin Hickey
