O’Reilly

O’reilly – Open Source Software Superstream Series Python Tips and Tricks Machine Learning and Whats New in 3.9 and Beyond

Oreilly Open Source Software Superstream Series Python Tips and Tricks Machine Learning and Whats New in 3.9 and Beyond-QUiD
English | Size: 2.37 GB
Category: Tutorial


Python is the most popular language for data science and machine and deep learning, and it’s become a favorite among web developers due to its versatility, vast library ecosystem, and high-performance applications.

O’reilly – System Design Fundamentals

Oreilly System Design Fundamentals-QUiD
English | Size: 5.53 GB
Category: Tutorial


In this dense LiveLessons video Juval L wy explains his approach to system analysis and design, using volatility to decompose a system into its comprising services. Juval contrasts it with the most common mistake done in architecture using functionality to identify services

OReilly – Practical Machine Learning with H2O Powerful Scalable Techniques for Deep Learning and AI 1st Edition Revision 2 2017

OReilly – Practical Machine Learning with H2O Powerful Scalable Techniques for Deep Learning and AI 1st Edition Revision 2 2017 RETAiL MOBI eBOOk-rebOOk
English | Size: 18.92 MB
Category: Tutorial


Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.

Oreilly Software Architecture Superstream Series Architecture Meets Data

Oreilly Software Architecture Superstream Series Architecture Meets Data-QUiD
English | Size: 4.18 GB
Category: Tutorial


With an eye to the future, many organizations have made the move to microservices as a means of decomposing monolithic legacy systems. But what does this move mean for delivering data?