Tue.Nov 12, 2019

AI’s Impact on Cyber Security


CISO Africa Insights


How to Speed up Pandas by 4x with one line of code


While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep. 2019 Nov Opinions Data Preparation Data Preprocessing Modin Pandas Python

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How to Make it Easier to Manage a Production PostgreSQL Database


The past several years have seen increasing adoption for PostgreSQL. PostgreSQL is an amazing relational database. Feature-wise, it is up there with the best, if not the best.

How Big Data And AI Are Driving The CBD Gummies Industry

Smart Data Collective

The CBD industry is growing at an astounding rate. So fast, in fact, that some companies are struggling to keep up with demand. And new companies are cropping up daily to get in on this brand new billion-dollar industry.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

Research Guide for Depth Estimation with Deep Learning


In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning. 2019 Nov Tutorials, Overviews Deep Learning Neural Networks Research

How Using Data For Your Social Media Marketing Campaign Can Help

Smart Data Collective

Did you know there are over 3.5 billion Facebook users? Social media has become the best way to market your brand when you want to reach specific audiences. There are 50,000 or more new posts on Instagram every day, and nearly 500,000 Tweets a day.

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Siemens and IBM showcase an AI-based, CO2 friendly advisor

IBM Big Data Hub

Making the case for AI, or any nascent technology for that matter, can be a struggle for companies today.

Go Beyond Predictions. Optimize Business Impact.

Jen Underwood

by Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. That’s. Read More.

Analytics for Data Scientists and Business Users!


Analytics for All: You Can Serve Business Users AND Data Scientists! I hope you would agree that every team member in your business is an important and valuable resource.

It’s all about the data – not the algorithm

Andrew White

I have blogged in the past on the importance of data in our AI-infused world emerging around us – see Microsoft Targets Mother of All Professional-People Master Data with LinkedIn Buy. I have explored how some large software vendors have been securing data sources to drive their AI engines; our own team evaluates (every few months) the difference in importance: data or algorithm.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

All About Machine Learning with Oracle Analytics

Perficient Data & Analytics

Perficient Presents at Oracle OpenWorld 2019 – Live from the show floor, a director in our analytics team delivers an overview of the machine learning capabilities of Oracle Analytics Cloud with its built-in ML algorithms. Machine Learning is a science that existed for several decades.

DataCamp is the 36th Fastest-Growing Company on Deloitte’s Technology Fast 500™


DataCamp grew 3,437% from 2015 through 2018

MLOps for production-level machine learning [Nov 14 Webinar]


This live webinar, Nov 14 @ 12pm EST, on MLOps for production-level machine learning, will detail MLOps, a compound of “machine learning” and “operations”, a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle. Register now.

How to Add Dotted Lines to Line Graphs in Microsoft Excel

Depict Data Studio

Here’s a common data visualization challenge: Slides with some, but not all, of the chronological data included. . The Challenge. The challenge is twofold: First, how do you take your bullet points and transform them into a graph? What type of graph should it be? How should it be formatted?

Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Join Onna and experts from Quip, Airbnb, and Oracle for this live webinar as they dive into proactive data deletion policies, retention strategies, and legal hold practices that are essential to a modern enterprise information governance strategy.

Understanding NLP and Topic Modeling Part 1


In this post, we seek to understand why topic modeling is important and how it helps us as data scientists. 2019 Nov Tutorials, Overviews NLP Topic Modeling

Phocas vs. Microsoft Power BI


Find out how Phocas compares to Microsoft Power BI in the world's largest survey of business intelligence customers, BARC the BI survey 19. What Microsoft Power BI has on its side when people are considering business intelligence, is high brand awareness.