Dataconomy

FEBRUARY 26, 2019

After retailers suffered a bad year with bankruptcies, store closures and lower store footfall, we discuss why now is the time for retailers to invest in data and advanced technologies to boost consumer relations. Bricks and mortar retailers would sooner forget 2018. The year that brought 16 U.S. bankruptcies, The post How machine learning can drive retail success appeared first on Dataconomy.

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Eugene Yan

FEBRUARY 1, 2019

Taking the best from agile and modifying it to fit the data science process (Part 2 of 2).

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Data Science 100

Data Science 101

FEBRUARY 28, 2019

Data Journalism Handbook 2 – Online beta access to the first 21 chapters Select Star SQL – A book that is also a walk-through interactive tutorial for learning SQL Dive Into Deep Learning – A very detailed and up-to-date book on Deep Learning; used at Berkeley. It also includes Jupyter notebooks. R for Data Science – Just like the title says, learn to use R for data science.

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DataRobot

FEBRUARY 26, 2019

DataRobot , the leader in automated machine learning, is proud to announce its acquisition of Cursor , a San Francisco-based company that provides a data collaboration platform which helps organizations find, understand and use data more efficiently.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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DataRobot Blog

FEBRUARY 10, 2019

by Jen Underwood. In the spirit of Valentine’s Day, let’s explore a fun little Relationship App quiz that forecasts how long your relationship will last. Data from a Stanford University study, How Couples. Read More.

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Victor Zhou

FEBRUARY 22, 2019

I usually check the weather on my phone, but last week I visited weather.com on my laptop. Here’s what I saw: This was taken with Network throttling set to "Fast 3G" in Chrome to simulate the slow connection I had. Why is the image in the top right so much slower to load than the others around it? I opened up Chrome Devtools to check it out: “intrinsic: 1280 x 720 pixels”.

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Depends on the Definition

FEBRUARY 11, 2019

This time we have a look into the magnitude library, a feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner developed by Plasticity.

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Data Science 101

FEBRUARY 13, 2019

The field of data science is moving fast. People are claiming to be data scientists; yet the knowledge, experience, and backgrounds of those people can be very different. Different is not bad. However, there a little standards around what exactly a data scientist is. Sticking with this week’s theme of “What is a Data Scientist”, an organization titled, Initiative for Analytics and Data Science Standards (IADSS) has kicked-off a research study at global scale.

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DataRobot

FEBRUARY 19, 2019

You’ve decided: DataRobot is cool. You saw a demo. Your people tell you they like it. You like the way it makes data scientists more productive. And you love the way it helps you introduce new people to machine learning.

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Explosion

FEBRUARY 5, 2019

In this video, Ines talks about a few frequently asked questions and shares some general tips and tricks for how to structure your NLP annotation projects, how to design your label schemes and how to solve common problems.

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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.

Database

Victor Zhou

FEBRUARY 15, 2019

Back in early 2016, I began building a web game called GeoArena. Looking back, my biggest regret is not using Webpack from the beginning. When I started GeoArena, I was very new to web development. Having never heard of module bundlers before, I instead homebrewed my own approaches for serving Javascript on the web. This post explores the problems with those methods and explains why you should be using Webpack instead.

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Dataconomy

FEBRUARY 21, 2019

The era of everything-as-a-service (XaaS) has provided both an opportunity and a challenge for companies across industries. The XaaS model, a subscription-based solution that makes cloud-based applications available on demand unlike the traditional license-based platforms of the past, delivers several noteworthy advantages over its predecessors. Between cost reductions and easier.

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DataCentric podcast

FEBRUARY 8, 2019

This year is shaping up to be a huge year for IT and enterprise datacenter architecture. Matt and Steve talk about what they see as the big trends in 2019 that are most impactful, as well as some anti-trends. It's an insightful 28 minutes! 00:46 News: CES, IBM Quantum Computing, & Huawei builds a server ARM part 03:20 Trend: ARM in the DataCenter?

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Christian Haschek

FEBRUARY 8, 2019

Disclaimer: This article is the result of a few weeks of research.

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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

DataRobot

FEBRUARY 18, 2019

In order t o further help you accelerate AI success with the team and tools you have in place, we are pleased to share our new DataRobot What-If extension for Tableau. The DataRobot What-If extension empowers you to analyze the cause-and-effect of different variables on a predicted outcome within a familiar Tableau experience. With the DataRobot What-If extension, you can make better informed, more actionable decisions to optimize outcomes.

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ML Review

FEBRUARY 11, 2019

Understanding building blocks of ULMFIT Last week I had the time to tackle a Kaggle NLP competition: Quora Insincere Questions Classification. As it’s easy to understand from the name, the task is to identify sincere and insincere questions given the question text. In short it’s a binary classification problem. I recently completed Fast.ai Part 1 (2019).

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Victor Zhou

FEBRUARY 9, 2019

Here’s a bit of Javascript that prints “Hello World!” on two lines: ( function ( ) { ( function ( ) { console. log ( 'Hello' ) } ) ( ) ( function ( ) { console. log ( 'World!' ) } ) ( ) } ) ( ) …except it fails with a runtime error. Can you spot the bug without running the code? Scroll down for a hint. Hint Here’s the text of the error: TypeError: (intermediate value)(.) is not a function What’s going on?

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Dataconomy

FEBRUARY 19, 2019

In 2018, the GDPR changed how tech companies handle data privacy. In 2019, it’s influencing the public’s perception of internet privacy and changing how tech companies treat violations—and one another. Last month, I wrote about the state of internet privacy in the context of the GDPR and other regulations that. The post Apple’s privacy play keeps internet regulators at bay appeared first on Dataconomy.

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Analytics Analytics 161

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Data Science 101

FEBRUARY 11, 2019

The profile of a data scientist is changing slightly as the profession becomes more solidified. Data Science 365 conducts a study to determine some of the characteristics of a “typical data scientist.” The below infographic covers a wealth of information from programming languages used to educational backgrounds to locations. It is definitely worth looking at to understand the attributes of a data scientist in 2019.

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DataRobot

FEBRUARY 28, 2019

A recently published research paper from Columbia University described a common dilemma in machine learning. Back in the mid-1990s, one cost-effective healthcare initiative investigated the application of machine learning to predict the probability of death for patients with pneumonia so that high-risk patients could be admitted to the hospital while low-risk patients were treated as outpatients.

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DataRobot

FEBRUARY 21, 2019

This blog is meant to be a fun and unique take on predicting Best Picture for the 91st Academy Awards.

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Dataconomy

FEBRUARY 13, 2019

If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. The truth is that once your model is built – that’s only half the battle won. A quarter of a Data Scientist’s working life often goes something like this: You met with. The post A Data Scientist’s relationship with building Predictive Models appeared first on Dataconomy.

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Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

Victor Zhou

FEBRUARY 4, 2019

A few months ago, I needed a way to detect profanity in user-submitted text strings: This shouldn’t be that hard, right? I ended up building and releasing my own library for this purpose called profanity-check. Of course, before I did that, I looked in the Python Package Index (PyPI) for any existing libraries that could do this for me. The only half decent results for the search query “profanity” were: profanity (the ideal package name) better-profanity : “Inspired from package profanity of Ben

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DataRobot

FEBRUARY 27, 2019

Implementing machine learning models into analytics tools used to be time-consuming and technically challenging. With the DataRobot and Qlik partnership , this is no longer the case. The Qlik2DataRobot client and server-side extensions ensure that enterprises of all sizes can now get insights in less time, giving business users the power of automated machine learning decision-making within any analytics workflow.

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DataRobot

FEBRUARY 25, 2019

Liverpool Victoria (LV=) is one of the United Kingdom’s largest insurance companies with over five million customers. LV= offers a wide range of products, such as car, home, pet, travel, and life insurance. Pardeep Bassi, the Head of Data Science at LV=, spoke at our AI Experience London event about “Driving the Implementation of Machine Learning Across a Business.”.

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