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Reinforcement Learning and its Scope in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial Intelligence, Machine Learning and Data Science have been ruling the tech buzzword dictionary for the past couple few years.

IT 354
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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. According to the dictionary, autonomous means “having the freedom to govern itself or control its own affairs.” Contrast the dictionary definition with how the word is used.

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Lessons learned building natural language processing systems in health care

O'Reilly on Data

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). Need more examples?

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

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Addressing Irreproducibility in the Wild

Domino Data Lab

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University.

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InfoTribes, Reality Brokers

O'Reilly on Data

There is a growing disbelief and distrust in basic science and government. The rise of the Internet, Search, social media, apps, and platforms has resulted in an information landscape that bypasses the centralized knowledge/reality-generation machine of broadcast media. Put simply, we are reduced to the inputs of an algorithm.

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Switching from CPUs to GPUs for NYC Taxi Fare Predictions with NVIDIA RAPIDS

Cloudera

Have you ever asked a data scientist if they wanted their code to run faster? Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. Today, deep learning and GPUs are practically synonymous. Photo Credit: Kaggle.