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Data Scientist in the making

A curated list of articles from my continous learning journey

How to build your own AlphaZero AI using Python and Keras

In March 2016, Deepmind’s AlphaGo beat 18 times world champion Go player Lee Sedol 4–1 in a series watched by over 200 million people….

Read full article at the publisher’s site: https://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-using-python-and-keras-7f664945c188

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On-Demand Webinar – AI Development Using Data Science VMs (DSVM), Deep Learning VMs (DLVM) & Azure Batch AI

This post is authored by Barnam Bora, Program Manager in the Cloud AI group at Microsoft. Microsoft’s Data Science Virtual Machines (DSVM) and Deep Learning Virtual Machines (DLVM) are a family of popular VM images in Windows Server and Linux flavors that are published on the Azure Marketplace….

Read full article at the publisher’s site: https://blogs.technet.microsoft.com/machinelearning/2017/11/16/on-demand-webinar-ai-development-using-data-science-vms-dsvm-deep-learning-vms-dlvm-azure-batch-ai/

Neural Networks for Beginners: Popular Types and Applications

Today, neural networks are used for solving many business problems such as sales forecasting, customer research, data validation, and risk management. For example, at Statsbot we apply neural networks for time series predictions, anomaly detection in data, and natural language understanding….

Read full article at the publisher’s site: https://blog.statsbot.co/neural-networks-for-beginners-d99f2235efca

Six Step Data Analysis Methodology

For every data analysis project I work on, I utilize a structured methodology to ensure that there is a systematic process to get to insight rather than stumbling my way to it. In addition, for my day-to-day work I’ve adapted the Cookie Cutter Data Science Repo to fit with this methodology….

Read full article at the publisher’s site: https://datatoinsight.io/blog/six-step-data-analysis-methodology/

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

Customer churn is a problem that all companies need to monitor, especially those that depend on subscription-based revenue streams….

Read full article at the publisher’s site: https://www.r-bloggers.com/customer-analytics-using-deep-learning-with-keras-to-predict-customer-churn/

Turnkey Data Platform Aims to Speed AI Deployment

With the laudable goal of using data to improve the human condition, a data operations vendor focused primarily on the healthcare market is rolling out a turnkey data science platform designed to accelerate development and deployment of AI products and services….

Read full article at the publisher’s site: https://www.datanami.com/2018/01/31/turnkey-data-platform-aims-speed-ai-deployment/

Read full article at the publisher’s site: https://blogs.technet.microsoft.com/machinelearning/2017/11/28/developing-and-operationalizing-h2o-ai-models-with-azure/

How to solve 90% of NLP problems: a step-by-step guide

For more content like this, follow Insight and Emmanuel on Twitter. Whether you are an established company or working to launch a new service, you can always leverage text data to validate, improve, and expand the functionalities of your product….

Read full article at the publisher’s site: https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e

Natural Language Processing for non-English languages with udpipe

BNOSAC is happy to announce the release of the udpipe R package (https://bnosac.github….

Read full article at the publisher’s site: https://www.r-bloggers.com/natural-language-processing-for-non-english-languages-with-udpipe/

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