Introduction to Natural Language Processingrohitnayak
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Natural Language Processing has matured a lot recently. With the availability of great open source tools complementing the needs of the Semantic Web we believe this field should be on the radar of all software engineering professionals.
オープンコミュニティ「要求開発アライアンス」(http://www.openthology.org)の2012年12月定例会発表資料です。
Open Community "Requirement Development Alliance" 2012/12 regular meeting of the presentation materials.
SQL Server 使いのための Azure Synapse Analytics - Spark 入門Daiyu Hatakeyama
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Japan SQL Server Users Group - 第35回 SQL Server 2019勉強会 - Azure Synapese Analytics - SQL Pool 入門 のセッション資料です。
Spark の位置づけ。Synapse の中での入門編の使い方。そして、Synapse ならではの価値について触れてます。
【de:code 2020】 Microsoft Teams アプリケーション開発入門日本マイクロソフト株式会社
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誕生から 3 年、毎日 7,500 万人以上が利用している Microsoft Teams。コミュニケーション、コラボレーションだけでなく、アプリケーションを連携させることで業務をより効率化することができます。
このセッションでは、Web アプリケーションや Bot を Microsoft Teams と連携させる方法、Microsoft Teams アプリケーションならではの機能を解説したします。また、Build で発表された Microsoft Teams Developer Platform の最新機能もご紹介いたします。
Microsoft Teams アプリケーション開発をこれから始めたい方も、すでに開発されている方も、ぜひお聞きください。
This document provides an overview of using deep learning techniques for recommender systems. It begins with establishing the need for recommender systems due to increasing information overload. It then gives a basic introduction and agenda for the talk, covering motivation, basics, deep learning for vehicle recommendations, and scalability/production. The talk discusses using deep learning approaches like wide and deep learning as well as sequential models to improve recommendation relevance for applications like vehicle recommendations. It provides details on preprocessing, training a classifier, candidate generation and ranking for recommendations. The document concludes with discussing deploying such a system at scale and current trends in recommender system research.
Microsoft Power BI is a unified self-service and enterprise business intelligence platform that combines an intuitive user experience with intelligent data visualizations to provide greater depth of data insight. Reports can be shared within Microsoft tools like Teams, SharePoint, PowerPoint, or within other productivity products.
Are you really curious about Power BI Dashboards, but you are scared that you won’t understand any of the words? This is the session for you! During our short time together, I will define some basic terms and best practices in Data Analysis, provide a quick demo of Power BI, and show what it takes to create a few simple reports and dashboards.
What Will You Learn?
? How to ask the right questions
? How to quickly get and model data
? How to design easy reports and dashboards
The document discusses time intelligence in Power BI. It begins with an introduction to the concept of time intelligence, which allows users to intuitively refer to dates and periods like "last year" or "next month." It then explains that time intelligence functions in Power BI were developed to implement this concept. Finally, it discusses the importance of having a single date table in the data model to serve as the single, absolute measure of time for relating different types of data in BI tools. Proper preparation of the date table is necessary to take advantage of time intelligence functions.
The Challenges of Bringing Machine Learning to the MassesAlice Zheng
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Why is it hard to build ML software, and why it is like designing a database. Jointly created with Sethu Raman (Dato/GraphLab). Talk at NIPS 2014 workshop on Software Engineering for Machine Learning (https://sites.google.com/site/software4ml/).
- Azure Databricks provides a curated platform for data science and machine learning workloads using notebooks, data services, and machine learning tools.
- Only a small fraction of real-world machine learning systems is composed of the actual machine learning code, as vast surrounding infrastructure is required for data collection, feature extraction, model training, and deployment.
- Azure Databricks can be used across many industries for applications like customer analytics, financial modeling, healthcare analytics, industrial IoT, and cybersecurity threat detection through machine learning on structured and unstructured data.
The document discusses two papers presented at NeurIPS 2018 on AutoML:
1) "Massively Parallel Hyperparameter Tuning" which proposes an asynchronous successive halving algorithm to parallelize hyperparameter tuning. This approach improves on synchronous successive halving by avoiding mis-promoting configurations.
2) "Neural Architecture Optimization" which uses a neural network to learn embeddings of neural network architectures for optimization. The approach achieves state-of-the-art results on CIFAR-10 and shows good transferability to other tasks.
Power BI Full Course | Power BI Tutorial for Beginners | EdurekaEdureka!
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YouTube Link: https://youtu.be/3u7MQz1EyPY
** Power BI Training - https://www.edureka.co/power-bi-training **
This Edureka PPT on "Power BI Full Course" will help you understand and learn Power BI in detail. This Power BI Tutorial is ideal for both beginners as well as professionals who want to master up their Power BI concepts.
This document provides an overview of using deep learning techniques for recommender systems. It begins with establishing the need for recommender systems due to increasing information overload. It then gives a basic introduction and agenda for the talk, covering motivation, basics, deep learning for vehicle recommendations, and scalability/production. The talk discusses using deep learning approaches like wide and deep learning as well as sequential models to improve recommendation relevance for applications like vehicle recommendations. It provides details on preprocessing, training a classifier, candidate generation and ranking for recommendations. The document concludes with discussing deploying such a system at scale and current trends in recommender system research.
Microsoft Power BI is a unified self-service and enterprise business intelligence platform that combines an intuitive user experience with intelligent data visualizations to provide greater depth of data insight. Reports can be shared within Microsoft tools like Teams, SharePoint, PowerPoint, or within other productivity products.
Are you really curious about Power BI Dashboards, but you are scared that you won’t understand any of the words? This is the session for you! During our short time together, I will define some basic terms and best practices in Data Analysis, provide a quick demo of Power BI, and show what it takes to create a few simple reports and dashboards.
What Will You Learn?
? How to ask the right questions
? How to quickly get and model data
? How to design easy reports and dashboards
The document discusses time intelligence in Power BI. It begins with an introduction to the concept of time intelligence, which allows users to intuitively refer to dates and periods like "last year" or "next month." It then explains that time intelligence functions in Power BI were developed to implement this concept. Finally, it discusses the importance of having a single date table in the data model to serve as the single, absolute measure of time for relating different types of data in BI tools. Proper preparation of the date table is necessary to take advantage of time intelligence functions.
The Challenges of Bringing Machine Learning to the MassesAlice Zheng
?
Why is it hard to build ML software, and why it is like designing a database. Jointly created with Sethu Raman (Dato/GraphLab). Talk at NIPS 2014 workshop on Software Engineering for Machine Learning (https://sites.google.com/site/software4ml/).
- Azure Databricks provides a curated platform for data science and machine learning workloads using notebooks, data services, and machine learning tools.
- Only a small fraction of real-world machine learning systems is composed of the actual machine learning code, as vast surrounding infrastructure is required for data collection, feature extraction, model training, and deployment.
- Azure Databricks can be used across many industries for applications like customer analytics, financial modeling, healthcare analytics, industrial IoT, and cybersecurity threat detection through machine learning on structured and unstructured data.
The document discusses two papers presented at NeurIPS 2018 on AutoML:
1) "Massively Parallel Hyperparameter Tuning" which proposes an asynchronous successive halving algorithm to parallelize hyperparameter tuning. This approach improves on synchronous successive halving by avoiding mis-promoting configurations.
2) "Neural Architecture Optimization" which uses a neural network to learn embeddings of neural network architectures for optimization. The approach achieves state-of-the-art results on CIFAR-10 and shows good transferability to other tasks.
Power BI Full Course | Power BI Tutorial for Beginners | EdurekaEdureka!
?
YouTube Link: https://youtu.be/3u7MQz1EyPY
** Power BI Training - https://www.edureka.co/power-bi-training **
This Edureka PPT on "Power BI Full Course" will help you understand and learn Power BI in detail. This Power BI Tutorial is ideal for both beginners as well as professionals who want to master up their Power BI concepts.
2014/09/20に実施した、PepperTechFestivalでの技術セッション(基本)の講演資料となります。
本資料の無断転載を禁じます。すべての著作権はソフトバンクロボティクス株式会社に帰属します。
Presentation Docs for Pepper Tech Festival
Title : Technical Session Basic
SoftBank Robotics Corp. 2014. All rights reserved.
2014/09/21にアトリエ秋葉原で実施した開発体験ワークショップの資料となります。
本資料の無断転載を禁じます。すべての著作権はソフトバンクロボティクス株式会社に帰属します。
Presentation Docs for Pepper Tech Festival
Title : Technical Session Basic
SoftBank Robotics Corp. 2014. All rights reserved.