Analytics

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Julia tutorial: Get started with the Julia language

Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia

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Data is inherently messy. Is that really such a bad thing?

In an imperfect world, consider shifting your data quality mindset from “how do I clean all this up?” to “how do I make the most of this state of affairs?”

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Why we lose out if we leave everything to algorithms

If we trust a measurement system wholly to data and algorithms, will it inevitably be gamed by the humans it measures?

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How to build stateful streaming applications with Apache Flink

Take advantage of Flink’s DataStream API, ProcessFunctions, and SQL support to build event-driven or streaming analytics applications

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Practical use cases for real-time decisioning

Real-time decisioning has its place in almost every transaction and interaction you have with data and technology today

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Introducing BigQuery ML for building predictive models with SQL

Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse

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Big data: enabling new approaches to IT infrastructure security

Big data technologies and advanced analytics, including AI, are promising a way to get ahead of cyber threats

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3 big data platforms look beyond Hadoop

Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning

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Data lakes: Just a swamp without data governance and catalog

Most businesses’ data lakes are merely repositories of undefined data sets from multiples sources, resulting in data swamps

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The importance of multitouch attribution: Why getting in the data weeds leads to better decision-making

As an organization, you want to understand if you’re making the right marketing investments. Smart enterprises follow a data-driven approach

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What’s new in the Anaconda distribution for Python

Anaconda 5.2 adds job scheduling, support for GPUs, and integration with version control systems including Git and GitHub

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Insights driving action: the quiet revolution

How insight-driven IT automation will become a competitive edge

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PyTorch review: A deep learning framework built for speed

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs

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How to get real value from big data in the cloud

Cloud computing makes big data affordable, but few companies know how to actually take actual advantage of it

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Why enterprises still struggle with data

There are pockets of innovation, but many large businesses are struggling to reap the rewards of data

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What’s new in Python 3.7

Python 3.7 adds new classes for data handling, optimizations for script compilation and garbage collection, and faster asynchronous I/O

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Modern artificial intelligence: algorithms through analytics

The silicon-based algorithms that accelerate the next generation of AI happening now are powerful. But what is the strategy for quality assurance of this technology?

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What is Julia? A fresh approach to numerical computing

A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language

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In an age of fake news, is there really such a thing as fake data?

The pitfalls and benefits of using synthetic data to train AI algorithms

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Paving a consumer’s journey: from research to retrieval, and data’s role

Data is vital to understanding the customer journey, but how a brand uses it can be the difference between a winning customer experience and a lackluster one

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