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Data Scientist in the making

A curated list of articles from my continous learning journey

Must-read Path-breaking Papers About Image Classification

Deep Learning models for Image Classification have achieved an exponential decline in error rate through last few years. Since then, Deep Learning has become prime focus area for AI research. However, Deep Learning has been around for a few decades now….

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Multivariate Time Series Forecasting with LSTMs in Keras

Neural networks like Long Short-Term Memory (LSTM) recurrent neural networks are able to almost seamlessly model problems with multiple input variables….

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Roboschool

We are releasing Roboschool: open-source software for robot simulation, integrated with OpenAI Gym. Three control policies running on three different robots, racing each other in Roboschool. You can re-enact this scene by running agent_zoo/demo_race1.py….

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Why continuous learning is key to AI

There will back-to-back half-day tutorials on reinforcement learning at the upcoming Artificial Intelligence conference in San Francisco: Building reinforcement learning applications with Ray and Introduction to reinforcement learning….

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Introducing learnr

We’re pleased to introduce the learnr package, now available on CRAN. The learnr package makes it easy to turn any R Markdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding….

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H2O.ai Boasts New AI Product Like ‘Kaggle Grandmaster in a Box’

Want to get started with data science and artificial intelligence, but lack the skilled personnel to do it? You could be a candidate for machine learning software company H2O.ai’s latest creation, Driverless AI, which it compares to “Kaggle Grandmaster in a box.”…

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Google Mimics Human Brain with Unified Deep Learning Model

Despite the progress we’ve made in deep learning, the approach remains out of reach for many, largely due to the high costs associated with tuning models for specific AI tasks….

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How to Scale Data for Long Short-Term Memory Networks in Python

The data for your sequence prediction problem probably needs to be scaled when training a neural network, such as a Long Short-Term Memory recurrent neural network. When a network is fit on unscaled data that has a range of values (e.g….

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Recommendation System Algorithms

Today, many companies use big data to make super relevant recommendations and growth revenue. Among a variety of recommendation algorithms, data scientists need to choose the best one according a business’s limitations and requirements….

Read full article at the publisher’s site: http://ift.tt/2sJWzow

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