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Startup Digest

Analytics

November 17, 2017

Hello digesters, 

This week we have 4 articles you shouldn't miss this week. Have a fun weekend and happy digesting!

Much ♥ from Chicago & Lagos!

Startup Digest Analytics is curated by:
Banji Adenusi

Banji Adenusi - Partner

Contact Banji Adenusi at banji.adenusi@startupdigestmail.com

Lidia Donajczyk-Lipinska

Lidia Donajczyk-Lipinska - Founder @ Hubmama

Contact Lidia Donajczyk-Lipinska at lidia.lipinska@startupdigestmail.com

Startups Meet Investors At TechCrunch Disrupt Berlin

TechCrunch Disrupt Berlin brings together hundreds of early-stage startups looking to gain customers, expand brand awareness, and of course, get more funding. At Disrupt Berlin, TechCrunch offers CrunchMatch, a white glove service that matches investors to startups and provides on-site meeting locations. If you’re a startup founder, book your tickets today and save 15% when you use promo code “TECHSTARS”. See you in Berlin!

A Day in the Life of a Data Scientist

Matthew Mayo - KDnuggets

Matt takes the mystery out of what it’s like to be a data scientist by asking a number of volunteers to share details of their daily routine. While the respondents don’t share similar routines, they do share a few traits - teamwork, communication, solving problems, and creating time for social media or tech blogs.

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Stefan Kojouharov - Becoming Human

Looking for a comprehensive cheat sheet on data visualization, python, data wrangling, AI, machine learning? Look no further, as Stefan’s got you covered with this cheat sheet that covers several topics in analytics and AI.

Why Big Data Needs Thick Data

Tricia Wang - Medium

According to Tricia, what is measurable isn’t necessarily the same as what is valuable. For better decision making and insights, businesses need to combine and strike a balance between quantitative data and qualitative data.

Microservices and Containers

MapR

Here’s a free ebook for big data specialists, IT architects and more. It treats topics like digital transformation, the critical role of data in successful digital transformation, the role of micro services, and developing the business case for modern data architecture within an institution. 

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