Analytics Vidhya

APRIL 7, 2019

Introduction Can you guess what’s common among all the faces in this image? None of these people are real! These faces were generated by. The post Top 5 Interesting Applications of GANs for Every Machine Learning Enthusiast! appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Analytics Deep Learning 307

Corinium

APRIL 7, 2019

Ahead of the inaugural Future Contact Centres Sydney event, we caught up with Michelle Shiers, Complex Customer Care Lead, Telstra to discuss their contact centre vision, their biggest takeaways from building a successful contact centre, as well as how they secure investment and support from senior executives and much much more!

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Domino Data Lab

APRIL 7, 2019

In this guest post, Maziyar Panahi and David Talby provide a cheat sheet for choosing open source NLP libraries. What do natural language processing libraries do? Natural language processing (NLP) is essential in a growing number of AI applications. Extracting accurate information from free text is a must if you are building a chatbot, searching through a patent database, matching patients to clinical trials, grading customer service or sales calls, extracting facts from financial reports or sol

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

Jen Stirrup

APRIL 7, 2019

I wanted to share my review of Let My People Go Surfing by Yvon Chouinard. It’s an excellent and sobering book which is fundamentally about responsibility, integrity, honesty authenticity and vision in leadership and business. Read it, and you’ll change your mind about sustainability and how it should not be a ‘nice to have’ but an essential facet of every business.

IT 61

IT 61

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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