datapine

AUGUST 29, 2022

The book has three main ideas: The biggest risk your company faces is investing a lot of time and resources into building something that the market doesn’t want. It was lately revised and updated in January 2016. Product/market fit is THE most important factor to get right.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

The Data Visualisation Catalogue

FEBRUARY 16, 2023

However, the fear is that if AI tools continue to develop in the direction it’s currently going in, a lot of white-collar workers will be at risk of losing their job. Paolo Ciuccarelli, founder of DensityDesign research lab recently wrote a post on What AI knows about data visualization and data storytelling.

Dashboards 122

Dashboards Consulting Machine Learning Technology 122

CIO Business Intelligence

JULY 20, 2022

Since childhood, Alana knew she wanted to do some form of visual storytelling – whether via film, television, or theater. “My Whatever the case, it’s important to take calculated risks. Chet successfully took Apigee public before the company was acquired by Google in 2016. My whole story is around story. Chet earned his B.S.

Uncertainty 100

Uncertainty Recreation/Entertainment Software Strategy 100

Jet Global

MAY 18, 2020

But without establishing a centralised rapid reporting rhythm, fed by real-time data and supported by automated reporting processes, finance runs the risk of things dropping off into silos. Furthermore, a 20 18 McKinsey survey said that the number of functions reporting to CFOs has risen from four to six since 2016.

Finance 64

Finance Reporting Uncertainty Testing 64

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Tableau buys Narrative Science.

Technology 143

Technology Enterprise Consulting Software 143

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. It’s up two places from 2017 and up six places from 2016. (A

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Domino Data Lab

AUGUST 8, 2019

Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. Risk and Robustness Our estimates $widehat{beta}$ of the "true'' coefficients $beta$ of our model (1) depend on the random data we observe in experiments, and they are therefore random or uncertain. 17:263-287, 2016. [10] Central composite designs are made of three parts.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

If we observe label vector y and feature vectors $x_1, cdots, x_d$ we can write the differentiable empirical risk minimization problem with a squared loss as$$ min_theta left| y - sum_{j=1}^d c_j(x_j) right|^2 $$Note that we use squared loss for the simplicity of presentation; one can use any differentiable loss in their application.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

O'Reilly on Data

APRIL 5, 2023

Jeff Desjardins, founder and editor-in-chief at Visual Capitalist , has published a fascinating infographic depicting 188 cognitive biases–and those are just the ones we know about. In 2016, Microsoft’s Tay chatbot was shut down after making racist and sexist comments. But there are dozens and dozens of known biases (e.g.,

Cost-Benefit 273

Cost-Benefit Data-driven Measurement Visualization 273

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? If you haven’t seen R2D3 ’s excellent A visual introduction to machine learning series, part 1 and part 2 … run, do not walk, to your nearest browser and check that out! Data visualization for prediction accuracy ( credit: R2D3 ).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Alation

FEBRUARY 20, 2020

Considering what we’ve seen this year in industry trends and patterns, we have compiled some predictions for 2016 from our co-founders at Alation. 2016 will be the year of the “logical data warehouse.” In 2016, these will increasingly be deployed to query multiple data sources. Data sprawl has been prevalent for several years.

Data Warehouse 52

Data Warehouse Visualization Enterprise Data Science 52