AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 113

Data Warehouse Analytics Data Lake Machine Learning 113

Domino Data Lab

APRIL 21, 2021

We’ll use a gradient boosting technique via XGBoost to create a model and I’ll walk you through steps you can take to avoid overfitting and build a model that is fit for purpose and ready for production. Let’s also look at the basic descriptive statistics for all attributes. from sklearn import metrics.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate. And sometimes even if it is not[1].)

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

MARCH 13, 2024

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. For the model used to create embeddings, we settled on all-mpnet-base-v2 to create a 768-dimensional vector space. You will see the Ray dashboard and statistics of the jobs and cluster running.

Data Processing 123

Data Processing Dashboards Machine Learning Metrics 123

Sisense

DECEMBER 11, 2019

And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI. Kongregate has been using Periscope Data since 2013. No surprise then that Tinder beat Netflix to become the highest-earning non-game app on both Google Play Store and the Apple Store.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030. The rapid growth of data roles critical to data-centric business models demonstrate an awareness of this need. Two data-driven careers.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

MARCH 27, 2019

For example, you can calculate the average percentage of votes cast for Democratic Party candidates: # Compute summary statistics for the `presidentialElections` data frame average_votes <- summarize(. Using the summarize() function to calculate summary statistics for the presidentialElections data frame. Red notes are added.

Statistics 85

Statistics Data Science Visualization IT 85

Occam's Razor

SEPTEMBER 21, 2015

First, someone worked really hard on this and created a really nice model for a smarter decision to be made for 2014. Second, between 2012 and 2013. When I present it, I'll say something like "Our peak investment, in Aquantive in 2013, was 700k." You are a Ninja, it will likely take you less. Rest is irrelevant.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. More relevant to the AIgent is Google’s BERT model, a task-agnostic (i.e. an aspiring author?—?finished

Modeling 59

Modeling Metadata Publishing Sales 59

Jet Global

MAY 1, 2023

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52