Day: September 11, 2019

Neural Networks TensorFlow

Build Your First Neural Network with Keras

What exactly is the difference is between Keras and TensorFlow? ! Keras is actually integrated into TensorFlow. It’s a wrapper around the TensorFlow backend Technically speaking, you could use Keras with a variety of potential backends. But what exactly does that mean? Basically, you are able to make any Keras call you need from within […]

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Building a custom machine learning model on Android with Tensorflow Lite
Android Speech and Voice TensorFlow

Building a Custom Machine Learning Model on Android with Tensorflow Lite

Machine learning is a trend that you cannot miss out on when developing an Android mobile app for the digital era Remember Tony Stark’s assistant Jarvis? or HAL? Or the computer on Star Trek? With machine learning taking off the way it has, this is not science fiction anymore. You very likely have a personal […]

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AI Reshaping Food Processing Industry: 4 Stocks in Focus
AI Economics of AI TensorFlow

AI Reshaping Food Processing Industry

We are in the midst of transforming every industry. Here’s a great overview (from an financial angle) on how AI is transforming the food processing industry. Food processing is a complex industry, encompassing everything, from sorting raw materials, following the right production process, maintaining machinery to ensuring that the final product is on par with […]

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Mathematics

Game Theory and Oligopoly

Here’s a great explanation of game theory in economics.

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Python Vs Scala: Which Language Is Best Suited For Data Analytics?
Data Science Python

Python Vs Scala: Which Language Is Best Suited For Data Analytics?

Python and Scala are two of the most popular languages used in data science and analytics. Not too long ago, the data science language debate was centered around R vs. Python. Now the chatter has shifted towards Python vs. Scala. Both languages provide great support in order to create cutting edge data analytics projects efficiently. […]

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Developer

REST API Concepts and Examples

As Data Science teams evolve and start producing models, the models will need to be deployed and exposed to other programs. Typically, this is done via  REST API. But exactly what it s a REST API? This video explores the concept in depth.

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AI Computer Vision Deep Learning Natural Language Processing

Speeding Up Image Embedding Model in Bing Semantic Precise Image Search with the ONNX Runtime

Accelerate and optimize machine learning models regardless of training framework using ONNX and ONNX Runtime. This episode introduces both ONNX and ONNX Runtime and provides an example of ONNX Runtime accelerating Bing Semantic Precise Image Search. Learn more about ONNX: ONNX ONNX Runtime ONNX Runtime Inference on Azure Machine Learning ONNX Model Zoo Follow ONNX […]

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AI Microsoft Research

Inside the Microsoft AI Residency Program with Dr. Brian Broll

In this interview on the Microsoft Research Podcast, Dr. Brian Broll gives us an overview of the work he did and the experience he had as a Microsoft AI Resident, talks about his passion for making complex concepts easier and more accessible to novices and young learners, and tells us how growing up on a […]

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Azure IoT

Deep Dive Live: Build Solutions and Certify Devices with IoT Plug and Play

In this deep dive, learn how to visualize telemetry and manage settings and commands exposed IoT Plug and Play device capability models, and how to build customized views and dashboards in IoT Central using simulated devices from the Azure Certified for IoT device catalog.

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Mathematics Statistics

Tea: A High-level Language and Runtime System for Automating Statistical Analysis

Here’s an interesting talk by Eunice Jun on a language she’s working on. [Slides] From the video description: Current statistical tools place the burden of valid, reproducible statistical analyses on the user. Users must have deep knowledge of statistics to not only identify their research questions, hypotheses, and domain assumptions but also select valid statistical […]

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