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Gastrograph AI | Analytical Flavor Systems

The artificial intelligence platform specializing in new product development and market preference for the food and beverage industry by optimizing flavor.

http://www.gastrograph.com/

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Gastrograph AI | Analytical Flavor Systems | gastrograph.com Reviews

https://gastrograph.com

The artificial intelligence platform specializing in new product development and market preference for the food and beverage industry by optimizing flavor.

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INTERNAL PAGES

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Gastrograph Blogs | Quality Control Services

https://www.gastrograph.com/blogs

Analytical Flavor System's blog for general company information and developments. The Gastrograph developer blog focusing on using Android, R, Shiny, and more. Middot; Open Source. Middot; Release Notes. Contact our CEO Jason Cohen at. 305) 794 - 8392.

2

Development

https://www.gastrograph.com/blogs/dev

The processing of flavor. Jul 10, 2015:. Synchronizing DynamoDB and MySQL. Synchronizing DynamoDB and MySQL. May 25, 2015:. Website downtime on May 22, 2015. If you tried to reach this blog. Between 1:21 PM EST and 6:24 PM EST on Friday, May 22, 2015, your browser may have warned you that www.gastrograph.com uses an invalid security certificate. Feb 13, 2015:. Update: Twilio And Shiny Integrated. We have also built API wrappers for Stripe. This tutorial will teach you to integrate Twilio with a basic Shi...

3

Gastrograph

https://www.gastrograph.com/TOS.html

Guarantees and Service Level Agreement. Analytical Flavor Systems guarantees Producer Panel up-time of 90% during the hours of 9am 9pm, Monday through Friday. Analytical Flavor Systems shall provide a 5% discount per 2 hour period beyond 24 hours of down-time within a 4 week rolling period. Outages extending more than 72 hours in length will result in a total 25% discount during the month of occurrence. Data Rights and Ownership. This Agreement is for the exclusive use and benefit of Customers, and does ...

4

The Gastrograph Team

https://www.gastrograph.com/about.html

Analytical Flavor Systems is founded by a team that appreciates the craft, hard work, and quality behind what we eat and drink. Inevitably, we were led to build tools for quality control in the food and beverage industry. By utilizing sensory science, data science, and analytical chemistry, we are able to protect our clients’ products from batch variations, flaws, and contaminations. Founder and Chief Executive Officer. Co-founder and Lead Front-end Engineer. Benson graduated from Penn State University i...

5

GastroNexus

https://www.gastrograph.com/blogs/gastronexus

All up in your flavor space. Apr 26, 2016:. Sour Beers: They're Wild! Apr 24, 2016:. The Reinheitsgebot: 500 years of tradition. Germans are proud of their brewing heritage, and why shouldn’t they be? Apr 18, 2016:. How to Optimize Your Coffee Blend - Part 2: Every bean counts! Apr 12, 2016:. Is Bigger Always Better? Examining the trends of high and low alcohol beers. And is there room in this town for the both of them? Mar 31, 2016:. Abusing my friend's emotional turmoil for science. Breaking up sucks&#...

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terrytangyuan.github.io terrytangyuan.github.io

About - Yuan's Blog

http://terrytangyuan.github.io/about

Hey, this is Yuan. The more you give, the more you receive. I am currently working as a data scientist at Uptake. In Chicago, IL. I focus on building predictive models and streamlined modeling engine used across multiple verticals. I also work in conjunction with software engineering team to build scalable data science platform. Before joining Uptake, I was a full-time data scientist at Analytical Flavor Systems. I graduated from the Pennsylvania State University. The more you give, the more you receive.

terrytangyuan.github.io terrytangyuan.github.io

与机器之心关于开源的对话 - Yuan's Blog

http://terrytangyuan.github.io/2016/11/09/interview-with-jiqizhixin-open-source

An Interview with Synced (www.jiqizhixin.com) on Open-source. Posted by Yuan Tang on November 9, 2016. 机器之心 你参与过 TensorFlow, XGBoost, MXNet 等软件项目,同时也是 Scikit Flow, ggfortify, metric-learn 的作者,可以为大家在其中挑选几个你觉得最喜爱的项目,为大家介绍一下 为什么偏爱这几个项目. 在这里我想简单谈谈我最近在做的 Scikit Flow,也就是现在被放在 TensorFlow.contrib 里面的 TF.Learn. 这些都是需要对低阶的 TensorFlow API 有深度的理解才能实现的一些功能。 Ggfortify 达到的目的就是对比较常用的一些 R 数据分析包的结果进行可视化,避免用户花太多时间学习怎样用 ggplot2 的特殊语法来实现一个常见的可视化。 机器之心 你一方面在 Uptake 带领团队,另一方面又是开源社区的活跃贡献者,从公司以及社区成员的两个不同的角度看,将项目开源的优势和劣势分别是什么呢.

terrytangyuan.github.io terrytangyuan.github.io

Introduction to Scikit Flow - Yuan's Blog

http://terrytangyuan.github.io/2016/03/14/scikit-flow-intro

Introduction to Scikit Flow. A Simplified Interface to TensorFlow. Posted by Yuan Tang on March 14, 2016. This blog is featured in DataScienceWeekly here. In November, 2015, Google open-sourced its numerical computation library called TensorFlow. However, there’s a large number of potential users, including some researchers, data scientists, and students who may be familiar with many data science concepts/algorithms already but who never get involved in deep learning research/applications, may found it r...

terrytangyuan.github.io terrytangyuan.github.io

Building Machine Learning Estimator in TensorFlow - Yuan's Blog

http://terrytangyuan.github.io/2016/07/08/understand-and-build-tensorflow-estimator

Building Machine Learning Estimator in TensorFlow. Understanding the Internals of TensorFlow Learn Estimators. Posted by Yuan Tang on July 8, 2016. This blog is featured in DataScienceWeekly here. And Chinese translation here (中文). Have you ever wondered what’s the magic behind the tutorials on Large-scale Linear Models. And Wide and Deep Learning. I hope this post would at least point you to the right direction. By utilizing detailed logics hidden in. Will be replaced by. In the meantime,. Intializes th...

terrytangyuan.github.io terrytangyuan.github.io

TensorFlow - Not Just for Deep Learning - Yuan's Blog

http://terrytangyuan.github.io/2016/08/06/tensorflow-not-just-deep-learning

TensorFlow - Not Just for Deep Learning. A Glance at Its Machine Learning Building Blocks and Collection of Algorithms. Posted by Yuan Tang on August 6, 2016. Chinese translation here (中文). One time when I was illustrating the code base. To my friends, they were quite surprised by how much more code was introduced since TensorFlow’s first open-source release. They were only expecting several popular types of deep learning algorithms from the code base as heard from other people and social media. A wide v...

terrytangyuan.github.io terrytangyuan.github.io

High-level Learn Module in TensorFlow - Yuan's Blog

http://terrytangyuan.github.io/2016/06/09/scikit-flow-v09

High-level Learn Module in TensorFlow. Seemless Integration and Changes on Scikit Flow. Posted by Yuan Tang on June 9, 2016. This blog is featured in DataScienceWeekly here. Since Scikit Flow has been included in v0.8. As its TensorFlow Learn module. It has been under rapid development both internally and externally to push it towards distributed and work more seemlessly with TensorFlow’s internals. As mentioned in its recent release v0.9. With the great addition of graph actions module. Internally so us...

terrytangyuan.github.io terrytangyuan.github.io

Tags - Yuan's Blog

http://terrytangyuan.github.io/tags

Stay hungry. Stay foolish. One Line of Code to ggplot2 Popular R Packages. One Line of Code to ggplot2 Popular R Packages. 极客头条专访 掌握 Google 深度学习框架的正确姿势. An Interview with CSDN (www.csdn.net). TensorFlow in Practice: Google Deep Learning Framework. An Interview with Synced (www.jiqizhixin.com) on Open-source. TensorFlow - Not Just for Deep Learning. A Glance at Its Machine Learning Building Blocks and Collection of Algorithms. Building Machine Learning Estimator in TensorFlow. Introduction to Scikit Flow.

terrytangyuan.github.io terrytangyuan.github.io

Projects - Yuan's Blog

http://terrytangyuan.github.io/projects

A list of contributed open-source projects. Simplified Interface for Distributed Machine Learning inside TensorFlow. Unified Interface to Visualize Popular Statistical R Packages with ggplot2 Style. R Package for Performing and Visualizing Local Fisher Discriminant Analysis Methods. Numerical Computation Library Using Data Flow Graphs for Scalable Machine Learning. Flexible and Efficient Deep Learning Library on Heterogeneous Distributed Systems. General-purpose Gradient Boosting Library.

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