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Naive Bayes Classifier From Scratch in Python

Naive Bayes Classifier From Scratch in Python | pdg-technologies.com | Scoop.it
The Naive Bayes algorithm is simple and effective and should be one of the first methods you try on a classification problem.
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Rescooped by Kun Le from Languages, Frameworks and DevOps tools
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Ring Buffer – a Data Structure Behind Disruptor – > performant code_

Ring Buffer – a Data Structure Behind Disruptor – > performant code_ | pdg-technologies.com | Scoop.it

Via yannick grenzinger
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Learning to operate Kubernetes reliably

Learning to operate Kubernetes reliably | pdg-technologies.com | Scoop.it
We recently built a distributed [cron][] job scheduling system on top of [Kubernetes][kubernetes], an exciting new platform for container orchestration. Kubernetes is very popular right now and makes a lot of exciting promises: one of the most exciting is that engineers don’t need to know or care what machines their applications run on.

[cron]: https://en.wikipedia.org/wiki/Cron
[kubernetes]: https://kubernetes.io/

Distributed systems are really hard, and managing services on distributed systems is one of the hardest problems operations teams face. Breaking in new software in production and learning how to operate it reliably is something we take very seriously. As an example of why learning to operate Kubernetes is important (and why it's hard!), here's a [fantastic postmortem of a one-hour outage][postmortem] caused by a bug in Kubernetes.

[postmortem]: https://community.monzo.com/t/resolved-current-account-payments-may-fail-major-outage-27-10-2017/26296/95

In this post, we'll explain why we chose to build on top of Kubernetes. We’ll examine how we integrated Kubernetes into our existing infrastructure, our approach to building confidence in (and improving) our Kubernetes' cluster's reliability, and the abstractions we’ve built on top of Kubernetes.

Via yannick grenzinger
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Raspberry Pi Cellular Gateway

Raspberry Pi Cellular Gateway | pdg-technologies.com | Scoop.it
Tutorial and codebase walking through making a cellular backhauled gateway which collects data from WiFi devices. Find this and other hardware projects on Hackster.io.

Via F. Thunus
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5 Big Data Projects You Can No Longer Overlook

5 Big Data Projects You Can No Longer Overlook | pdg-technologies.com | Scoop.it

Via Gregory Piatetsky
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Elastic Scaling in Kafka Streams

Elastic Scaling in Kafka Streams | pdg-technologies.com | Scoop.it
Another blog in a series of posts focused on Kafka Streams, we focus on the elasticity and scalability of the new stream processing library.
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Deep Learning in a Nutshell: Sequence Learning

Deep Learning in a Nutshell: Sequence Learning | pdg-technologies.com | Scoop.it
This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs.
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Expedite Kafka data ingestion with Apache Apex - DataTorrent

Expedite Kafka data ingestion with Apache Apex - DataTorrent | pdg-technologies.com | Scoop.it
Know how the Kafka Input Operator consumes messages from Kafka to Apex applications Apache Apex (incubating) supports  high availability, fault tolerance, low latency, and high scalability. But what is all this without valuable input?
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Scaling Elasticsearch Across Data Centers With Kafka

Scaling Elasticsearch Across Data Centers With Kafka | pdg-technologies.com | Scoop.it
The article proposes architectures to support scaling across data centers using Elasticsearch and Kafka.
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Free Book: Practical Scalablility Analysis with the Universal Scalability Law - High Scalability -

Free Book: Practical Scalablility Analysis with the Universal Scalability Law - High Scalability - | pdg-technologies.com | Scoop.it
If you are very comfortable with math and modeling Dr. Neil Gunther' s Universal Scalability ...
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Beginners Guide: Apache Spark Python - Machine Learning Scenario With A Large Input Dataset

Beginners Guide: Apache Spark Python - Machine Learning Scenario With A Large Input Dataset | pdg-technologies.com | Scoop.it
In the previous post "Beginners Guide: Apache Spark Machine Learning Scenario With A Large Input Dataset" we discussed the process of creating predictive model with 34 gigabytes of input data using...
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The Components of a Recommender System

The Components of a Recommender System | pdg-technologies.com | Scoop.it
A recommender system is made up of five core components (Figure 1). This post is intended to give the big picture. In future posts we’ll jump into details. Arguably, the most important component is...
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Tacotron 2: Generating Human-like Speech from Text

Tacotron 2: Generating Human-like Speech from Text | pdg-technologies.com | Scoop.it
Posted by Jonathan Shen and Ruoming Pang, Software Engineers, on behalf of the Google Brain and Machine Perception Teams Generating ver

Via Shiwon Cho
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Auto-tuning data science: New research streamlines machine learning

Auto-tuning data science: New research streamlines machine learning | pdg-technologies.com | Scoop.it
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.

Via Charles Gerth
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90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning

90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning | pdg-technologies.com | Scoop.it
90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning http://t.co/NfPPMukiBm

Via Gregory Piatetsky
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A Beginner’s Guide to AI/ML �� – Machine Learning for Humans – Medium

A Beginner’s Guide to AI/ML �� – Machine Learning for Humans – Medium�� | pdg-technologies.com | Scoop.it
The ultimate guide to machine learning. Simple, plain-English explanations accompanied by math, code, and real-world examples.
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Thinking of doing a machine learning PhD? Read this first.

Thinking of doing a machine learning PhD? Read this first. | pdg-technologies.com | Scoop.it
We explain why it’s a high-impact area, how to work out if it’s for you, and exactly how and where to apply.
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Kafka Streams - the KStreams API - Random Thoughts on Coding

Kafka Streams - the KStreams API - Random Thoughts on Coding | pdg-technologies.com | Scoop.it
An introduction to kafka-streams an abstraction for key-value events.
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Yahoo Opens Up Flickr Deep Learning

Yahoo Opens Up Flickr Deep Learning | pdg-technologies.com | Scoop.it
Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more.
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Server-Side Architecture. Front-End Servers and Client-Side Random Load Balancing - High Scalability -

Server-Side Architecture. Front-End Servers and Client-Side Random Load Balancing - High Scalability - | pdg-technologies.com | Scoop.it
Chapter by chapter Sergey Ignatchenko is putting together a wonderful book on the Development ...
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Log Insight Reference Architectures Part 1/4 - SFlanders.net

Log Insight Reference Architectures Part 1/4 - SFlanders.net | pdg-technologies.com | Scoop.it
The topic of reference architectures keeps coming up with Log Insight so I thought I would cover it over a series of blog posts. In this post, I will start with the basic concepts.
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LinkedIn Finalizes its New Search Architecture, Galene - The New Stack

LinkedIn Finalizes its New Search Architecture, Galene - The New Stack | pdg-technologies.com | Scoop.it
Last week, professional social networking service LinkedIn moved its search operations entirely over to a new architecture, called Galene, customized for its specific user base.
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Testing RabbitMQ Clustering with a Message Simulator

Testing RabbitMQ Clustering with a Message Simulator | pdg-technologies.com | Scoop.it
Testing RabbitMQ Clustering with a Message Simulator. An open source tool for helping to find a cluster's balance between performance, resilience and reliability.
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