Evolution of words through time a malenko dataconf 21 04_18
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Topic of presentation: Dataservices based on mesos and kafka
The main points of the presentation: У своїй доповіді Костянтин поділіться досвідом побудови датасервісів на основі таких технологій як: Kafka, Docker, Mesos, Aerospike та Spark. Будуть розглянуті наступні питання: оркестрація, ізоляція, управляння ресурсами, service discovery and load balancing, взаємодія датасервісів. Будуть обговорені проблеми управління ресурсами Java-based та Spark-based сервісів під керування mesos кластера, а також реалізація CI та CD датасервісів.
*CI - continuous integration, CD - continuous delivery
http://dataconf.com.ua/speaker-page/kostiantyn-bokhan.php
https://www.youtube.com/watch?v=4d41DDyKuwU&list=PL5_LBM8-5sLjbRFUtXaUpg84gtJtyc4Pu&t=0s&index=3
Azure data catalog your data your way eugene polonichko dataconf 21 04 18
Topic of presentation: Azure Data Catalog: your data, your way
The main points of the presentation:It’s a fully-managed service that lets you—from analyst to data scientist to data developer—register, enrich, discover, understand, and consume data sources
http://dataconf.com.ua/speaker-page/eugene-polonichko.php
https://www.youtube.com/watch?v=wceGzcQcPOo&list=PL5_LBM8-5sLjbRFUtXaUpg84gtJtyc4Pu&t=0s&index=4
Aibdconference chat bot for every product Maksym Volchenko
This document discusses conversational interfaces and chatbots. It begins with an introduction to the author's background and experience in artificial intelligence and as an Android developer. It then discusses why conversational interfaces are becoming more popular as people prefer interacting with products and services through human conversation versus many separate apps. Chatbots provide a cross-platform solution for this using natural language processing. The document defines key terms like bots, chatbots, virtual assistants and describes common NLP techniques. It provides examples of chatbot architectures and development tools like API.ai and discusses analytics. It concludes that while conversing with bots is interesting, human interaction is more meaningful.
Ai&bigdataconference oleksandr saienko machine learning use cases in telecom
Topic of presentation: Machine Learning use cases in Telecom
The main points of the presentation: Oleksandr will talk about some interesting examples of using Machine Learning in Telecom: optimizing the cellular network, improving customer experience, models for mobile devices location predicting, customer churn prediction, detecting fraud and others. He will consider the main modern approaches based no machine learning.
http://dataconf.com.ua/oleksandr-saienko.php
Ai big dataconference_volodymyr getmanskyi colorization distance measuring
Topic of presentation: Deep learning for satellite imagery colorization and distance measuring.
The main points of the presentation:
Using modern techniques we compared existing methods for colorization from the perspective of satelite maps. After this we built our own engine for measuring the distances on the maps.
http://dataconf.com.ua/index.php#agenda
#dataconf
#AIBDConference
Ai big dataconference_taras firman how to build advanced prediction with addi...
Topic of presentation: How to build advanced prediction with adding external data.
The main points of the presentation:
We will discuss different types of time series, main approaches for building forecasting, how to work with missing data, how to add external data using Machine Learning technics. After that, we will consider existing Python's forecasting libraries
http://dataconf.com.ua/index.php#agenda
#dataconf
#AIBDConference
Ai big dataconference_sparkinonehour_vitalii bashun
Topic of presentation: First Spark application in one hour
Are you a beginner in Big Data world? Do not know where to start from? This session is for you. Introduction to distributed computations, Hadoop and the most popular and powerful framework in Big Data world - Apache Spark. This session aims to explain Big Data from scratch in simple words and to show how you can write and run your first Spark application in one hour.
http://dataconf.com.ua/index.php#agenda
#dataconf
#AIBDConference
Ai big dataconference_semantic image segmentatation using word embeddings_ole...
Topic of presentation: Semantic image segmentation using word embeddings
The main points of the presentation:
Semantic image segmentation
Word embeddings
Unsupervised learning
Object detection
Multimodal learning
http://dataconf.com.ua/index.php#agenda
#dataconf
#AIBDConference
Ai big dataconference_ml_fastdata_vitalii bondarenko
This document discusses machine learning on fast data. It presents an agenda covering ML on production systems, TensorFlow, Kafka, Docker and Kubernetes. It then describes the machine learning process and shows how an enterprise analytics platform can integrate data sources, a machine learning cluster using Kafka, and data destinations. It provides details on TensorFlow and how it can be used for linear regression and neural networks. It also explains Apache Kafka as a streaming data service bus and how Confluent Platform extends it. Finally, it briefly introduces Docker and Kubernetes.
Ai big dataconference_krakovetskyi_microsoft ai a new era of smart solutions
Topic of presentation: Microsoft AI: a new era of smart solutions
The main points of the presentation: In this presentation we will talk about Microsoft's tools and products that will add some intelligence to your apps and solutions.We will talk about Cognitive Services, chatbots, Cortana and Alexa, Deep Learning and Azure Machine Learning.
http://dataconf.com.ua/index.php#agenda
#dataconf
#AIBDConference
Ai big dataconference_jeffrey ricker_kappa_architecture
Topic of presentation: Kappa architecture (and beyond)
The main points of the presentation:
We will discuss the evolution of big data architecture, from batch to Lambda to Kappa. I will walk through how to implement a Kappa architecture with practical examples, focusing on how to reach full potential and avoid the pitfalls. We will finish with reviewing what lies ahead, including the inevitable consolidation between microservices, GPGPU and Hadoop.
http://dataconf.com.ua/index.php#agenda
#dataconf
#AIBDConference
Ai big dataconference_eugene_polonichko_azure data lake
Topic of presentation: Azure Data Lake: what is it? why is it? where is it?
The main points of the presentation:
What is Azure Data Lake? Why does this technology call Microsoft Big Data? Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages. It removes the complexities of ingesting and storing all of your data while making it faster to get up and running with batch, streaming, and interactive analytics.
http://dataconf.com.ua/index.php#agenda
#dataconf
#AIBDConference
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- 14. UMAP - Uniform Manifold Approximation and Projection https://github.com/lmcinnes/umap
- 16. Thank you!