Machine Learning

Related articles

Avoid Bottlenecks in distributed Deep Learning pipelines with Horovod

Categories: Data Science | Tags: Deep Learning, GPU, Keras, TensorFlow, Horovod

The Deep Learning training process can be greatly speed up using a cluster of GPUs. When dealing with huge amounts of data, distributed computing quickly becomes a challenge. A common obstacle which…

Grégor JOUET

By Grégor JOUET

Nov 15, 2019

Machine Learning model deployment

Categories: Big Data, Data Engineering, Data Science, DevOps & SRE | Tags: AI, Cloud, DevOps, Machine Learning, On-premise, Operation, Schema

“Enterprise Machine Learning requires looking at the big picture … from a data engineering and a data platform perspective,” lectured Justin Norman during the talk on the deployment of Machine…



Sep 30, 2019

Spark Streaming part 4: clustering with Spark MLlib

Categories: Data Engineering, Data Science, Learning | Tags: Spark, Apache Spark Streaming, Big Data, Clustering, Machine Learning, Scala, Streaming

Spark MLlib is an Apache’s Spark library offering scalable implementations of various supervised and unsupervised Machine Learning algorithms. Thus, Spark framework can serve as a platform for…



Jul 11, 2019

Introduction to Cloudera Data Science Workbench

Categories: Data Science | Tags: Cloudera, Docker, Git, Kubernetes, Machine Learning, Azure, Notebook

Cloudera Data Science Workbench is a platform that allows Data Scientists to create, manage, run and schedule data science workflows from their browser. Thus it enables them to focus on their main…



Feb 28, 2019

Applying Deep Reinforcement Learning to Poker

Categories: Data Science | Tags: Algorithm, Deep Learning, Gaming, Machine Learning, Q-learning, Neural Network, Python

We will cover the subject of Deep Reinforcement Learning, more specifically the Deep Q Learning algorithm introduced by DeepMind, and then we’ll apply a version of this algorithm to the game of Poker…



Jan 9, 2019

CodaLab – Data Science competitions

Categories: Data Science, Adaltas Summit 2018, Learning | Tags: Database, Infrastructure, Machine Learning, MySQL, Node.js, Python

CodaLab Competition is a platform for code execution in the field of Data Science. It is a web interface on which a user can submit code or results and compare themselves to others. Let’s see how it…

Robert Walid SOARES

By Robert Walid SOARES

Dec 17, 2018

Apache Flink: past, present and future

Categories: Data Engineering | Tags: Flink, Kubernetes, Machine Learning, Pipeline, Streaming, SQL

Apache Flink is a little gem which deserves a lot more attention. Let’s dive into Flink’s past, its current state and the future it is heading to by following the keynotes and presentations at Flink…



Nov 5, 2018

YARN and GPU Distribution for Machine Learning

Categories: Data Science, DataWorks Summit 2018 | Tags: YARN, GPU, Machine Learning, Neural Network, Storage

This article goes over the fundamental principles of Machine Learning and what tools are currently used to run machine learning algorithms. We will then see how a resource manager such as YARN can be…

Grégor JOUET

By Grégor JOUET

May 30, 2018

TensorFlow on Spark 2.3: The Best of Both Worlds

Categories: Data Science, DataWorks Summit 2018 | Tags: Mesos, Spark, YARN, C++, CPU, GPU, JavaScript, Keras, Kubernetes, Machine Learning, TensorFlow, Tuning, Python

The integration of TensorFlow With Spark has a lot of potential and creates new opportunities. This article is based on a conference seen at the DataWorks Summit 2018 in Berlin. It was about the new…

Yliess HATI

By Yliess HATI

May 29, 2018

Apache Apex with Apache SAMOA

Categories: Data Science, Events, Tech Radar | Tags: Apex, Flink, Samoa, Storm, Machine Learning, Tools, Hadoop

Traditional Machine Learning Batch Oriented Supervised - most common Training and Scoring One time model building Data set Training: Model building Holdout: Paremeter tuning Test: Accuracy Online…



Jul 17, 2016

Apache Apex: next gen Big Data analytics

Categories: Data Science, Events, Tech Radar | Tags: Apex, Flink, Kafka, Storm, Data Science, Machine Learning, Tools, Hadoop

Below is a compilation of my notes taken during the presentation of Apache Apex by Thomas Weise from DataTorrent, the company behind Apex. Introduction Apache Apex is an in-memory distributed parallel…



Jul 17, 2016

Definitions of machine learning algorithms present in Apache Mahout

Categories: Data Science | Tags: Algorithm, Сlassification, Clustering, Machine Learning, Hadoop, Mahout

Apache Mahout is a machine learning library built for scalability. Its core algorithms for clustering, classfication and batch based collaborative filtering are implemented on top of Apache Hadoop…


By David WORMS

Mar 8, 2013

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