TCS Recognized as a ‘Winner’ in Enterprise Artificial Intelligence Services 2018, Worldwide Blueprint by HfS

… Artificial Intelligence(AI) services 2018 Blueprint” [1] . “Automation that leverages Artificial Intelligence … ™ that leverages automation, robotics and artificial intelligence to help enterprises achieve their … ] HfS Research Blueprint Report : Enterprise Artificial Intelligence(AI) services 2018 published in … VISIT THE SOURCE ARTICLE…

Senior Software Engineer, Data Quality – Pandora at Pandora in Oakland, California | AnalyticTalent.com

Description At Pandora, we’re a unique collection of engineers, musicians, designers, marketers, and world-class sellers with a common goal: to enrich lives by delivering effortless personalized music enjoyment and discovery. People—the listeners, the artists, and our employees—are at the center of our mission and everything…

Introduction to Random Number Generators for Machine Learning in Python

Randomness is a big part of machine learning. Randomness is used as a tool or a feature in preparing data and in learning algorithms that map input data to output data in order to make predictions. In order to understand the need for statistical methods…

Evolved Policy Gradients

We’re releasing an experimental metalearning approach called Evolved Policy Gradients, a method that evolves the loss function of learning agents, which can enable fast training on novel tasks. Agents trained with EPG can succeed at basic tasks at test time that were outside their training…

OpenAI Charter

We’re releasing a charter that describes the principles we use to execute on OpenAI’s mission. This document reflects the strategy we’ve refined over the past two years, including feedback from many people internal and external to OpenAI. The timeline to AGI remains uncertain, but our…

How To Know if Your Machine Learning Model Has Good Performance

After you develop a machine learning model for your predictive modeling problem, how do you know if the performance of the model is any good? This is a common question I am asked by beginners. As a beginner, you often seek an answer to this…

Retro Contest

We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience. In typical RL research, algorithms are tested in the same environment where they were trained, which favors algorithms which are good at memorization and have many hyperparameters….

The Model Performance Mismatch Problem (and what to do about it)

What To Do If Model Test Results Are Worse than Training. The procedure when evaluating machine learning models is to fit and evaluate them on training data, then verify that the model has good skill on a held-back test dataset. Often, you will get a…

Report from the OpenAI Hackathon

On March 3rd, we hosted our first hackathon with 100 members of the artificial intelligence community. We had over 500 RSVPs arrive within two days of announcing the event — if you didn’t make it this time, please RSVP again in the future! Thank you…

How to Get the Most From Your Machine Learning Data

The data that you use, and how you use it, will likely define the success of your predictive modeling problem. Data and the framing of your problem may be the point of biggest leverage on your project. Choosing the wrong data or the wrong framing…

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