Practical ML 2020
Two days in London
Breakthrough the noise surrounding Machine Learning (ML) and you’ll discover its full potential as a Developer. Get immersed in applied ML techniques and tools from experts sharing real world examples. Network and share ideas.r war-stories security monitoring devops applied-ml kafka tensorflowjs tensorflow spark architecture gdpr data python machine-learning big-data ethics real-world-applications ml deep-learning software-roadmap ai
You got served: How Deliveroo improved the ranking of restaurants
Featuring Jonny Brooks-Bartlett
In this talk Jonny Brooks will explain how Deliveroo is using Tensorflow to train and deploy our models. We’ll also discuss the challenges that they’ve faced in tackling the ranking problem and outline the solutions that they’ve implemented or proposed to overcome them.data tensorflow ai datascience deliveroo
IoT + AI = Love, But How Do You Say That in C#?
Featuring Daniel Costea
One of the concerns about the Internet of Things is the large amount of data which has to be sent over the network. In the same time, we need to get some meaning from the sent raw data.data raspberrypi dotnetcore tensorflow deeplearning machinelearning
Natural Language Processing with Tensorflow
Featuring Barbara Fusinska
Natural Language Processing offers a variety of techniques to get insight from and generate text data. Going beyond simple representations and taking advantage of Deep Learning and RNNs, the models can use document context to perform more accurately. With the help of libraries like TensorFlow,...deep-learning nlp neural-networks tensorflow data ml ai
Machine Learning for Android Developers with TensorFlow
Featuring Attila Blénesi
During this session Attila will introduce the TensorFlow framework from an Android developer’s point of view.
When it comes to blending AI into mobile apps, there are a couple of tools at developers disposal. You will explore some of these available options, then linger on to the steps and...ai mobile droidconuk android tensorflow
Deep Learning for Recommender Systems
Featuring Oliver Gindele
Recommender systems are widely used by e-commerce and services companies worldwide to provide the most relevant items to their users.
Over the past few years, deep learning has demonstrated breakthrough advances in image recognition and natural language processing. Meanwhile, new approaches have...infiniteconf tensorflow recommender-systems deep-learning
Deep Learning data pipeline with TensorFlow, Apache Beam and Scio
Featuring Vincent Van Steenbergen
In this talk, you will discover how to leverage Scio, the Scala API for Apache Beam and it’s module scio-tensorflow to integrate Deep Learning into your batch or streaming data pipeline. You will explore the core concepts of Apache Beam, a quick tour around Scio Scala API and then illustrate...scala scio api apache-beam tensorflow deep-learning
Deep learning in Java
Featuring Dave Snowdon
This evening we’ll start with a brief introduction to deep neural networks and how they work, and show how you can define them using python (the language used by most people in the deep learning community). Then we’ll look at using the tensorflow Java API and deeplearning4j to see how to build...neuralnetworks python tensorflow javaapi deeplearning4j jvm
Predicting congestion on London’s roads with Beam and Tensorflow - Intermediate
Featuring Oliver Gindele
The talk will be about a project Oliver and the Datatonic team did with TfL, where they used Apache Beam and Tensorflow to predict congestion. The talk will focus in detail on how and why these technologies were used in the use case at hand.
n-episode-ii-predicting.htmlbeam tensorflow infiniteconf bigdata big-data deep-learning
Supercharging Android Apps With TensorFlow
Featuring Mohamed Taieb
Last year Google open sourced TensorFlow, its latest and greatest machine learning library. This meant that any one, company, or organisation could build their own AI applications using the same software that Google does to fuel everything from photo recognition to automated email replies.android droidcon droidconuk machine-learning deep-learning ai tensorflow