Sun.Apr 21, 2019

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Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification

Analytics Vidhya

Introduction I was intrigued going through this amazing article on building a multi-label image classification model last week. The data scientist in me started. The post Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification appeared first on Analytics Vidhya.

Modeling 303
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Turn Up the Signal; Turn Off the Noise

Perceptual Edge

To thoroughly, accurately, and clearly inform, we must identify the intended signal and then boost it while eliminating as much noise as possible. This certainly applies to data visualization, which unfortunately lends itself to a great deal of noise if we’re not careful and skilled. The signal in a stream of content is the intended message, the information we want people to understand.

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Cloud Migrations: Big Challenges, Big Opportunities

Sisense

When your organization decides to pull the trigger on a cloud migration, a lot of stuff will start happening all at once. Regardless of how long the planning process has been, once data starts being relocated, a variety of competing factors that have all been theoretical become devastatingly real: frontline business users still want to be able to run analyses while the migration is happening, your data engineers are concerned with the switch from whatever database you were using before, and the

OLAP 72
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Python Pro Tip: Start using Python defaultdict and Counter in place of dictionary

MLWhiz

Learning a language is easy. Whenever I start with a new language, I focus on a few things in below order, and it is a breeze to get started with writing code in any language. Operators and Data Types: +,-,int,float,str Conditional statements: if,else,case,switch Loops: For, while Data structures: List, Array, Dict, Hashmaps Define Function However, learning to write a language and writing a language in an optimized way are two different things.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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How to Use AI and Video Analytics to Give Your Retail Business a Competitive Edge

Teradata

Peter Mackenzie explains the advancements in AI and video analytics in the retail sector.

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Getting Data Product Requirements Right

Juice Analytics

Often customer data products or applications go awry because of poor requirements. While customers can describe a billing workflow or a mobile app feature, explaining how data should be used is less clear. Merely documenting a wish list of reports, fields and filters is a recipe for low adoption and canceled subscriptions. To ensure that data requirements are relevant and the solution is useful to customers (profitable too) consider the expression Walking a Mile in their Shoes.