Domino Data Lab

SEPTEMBER 25, 2019

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Insight

DECEMBER 18, 2019

In my last post , we went back to the year 1943, tracking neural network research from the McCulloch & Pitts paper , “ A Logical Calculus of Ideas Immanent in Nervous Activity ” to 2012, when “ AlexNet ” became the first CNN architecture to win the ILSVRC. A visualization of gradient descent. Each variant is called an “optimizer.”

Optimization 85

Optimization Machine Learning Testing Visualization 85

Sisense

DECEMBER 11, 2019

An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities. And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Data Modelling Patterns 101 using Power Pivot. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Data Modelling Patterns 101 Using Power Pivot. I look forward to seeing you there! SQL Saturday 389, Huntington Beach, California.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Data Modelling Patterns 101 using Power Pivot. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Data Modelling Patterns 101 Using Power Pivot. I look forward to seeing you there! SQL Saturday 389, Huntington Beach, California.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started. lemma – a root form of the word.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). a “pre-trained” model) to be recycled and reused for many different tasks. We pass 3 parameters: loss, optimizer , and metrics. Read on to find out more!

Metrics 58

Metrics Optimization Modeling Testing 58

Occam's Razor

JANUARY 2, 2013

This post is about standard GA reports, but the standard cart/checkout funnel visualization in GA is value deficient. Multi-channel attribution was the flavor of the month for every month in 2012. And just as in 2012 magic pills will be scarce, FUD will be plentiful, and vendors will promise the moon. Mobile Devices Report.

Strategy 159

Strategy Analytics Reporting Metrics 159

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

Domino Data Lab

MARCH 3, 2019

What’s been the impact of using ML models on culture and organization? Who builds their models? We also used maturity , in other words how long had an enterprise organization been deploying ML models in production? “Three surveys of AI adoption reveal key advice from more mature practices”. Management.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

OCTOBER 15, 2012

The data was collected in the first part of 2012, between January and May for the Barometer and between January and February for the Enumeration. Think of it as attribution modeling. :). In this report you also get this lovely visual: It is a little complicated, but stick with me. What you see is for 2012. We don't.

Advertising 136

Advertising Marketing Strategy Insurance 136

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” He also really informed a lot of the early thinking about data visualization. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

JULY 25, 2023

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. Here’s how I worked on it: I subscribed to ChatGPT Plus and used the GPT-4 model in ChatGPT (first the May 12, 2023 version, then the May 24 version) to help me with design and implementation.

Consulting 246

Consulting Interactive Software IT 246

Cloudera

DECEMBER 12, 2018

I decided to jump ship in May of 2012 joining Cloudera. And it [MPP] is a much more efficient execution model. With a traditional relational database, you have to do all the upfront data modeling and have very clean data before it even gets into the tables. At that point, there was no publicly known project called Impala.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

CIO Business Intelligence

FEBRUARY 3, 2023

Much of the work is accomplished by dragging and dropping components in a visual designer, but developers can also adjust the system-generated code in an IDE. The company also has systems optimized for industries such as supply chain management ( TradeEdge ) or banking. Microsoft is integrating some of its AI into Power.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145