The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

JUNE 1, 2022

The concept of a time crystal was first offered in 2012 by Frank Wilczek, a theoretical physicist, mathematician, and Nobel laureate. . To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Deep Learning 92

Deep Learning Snapshot Optimization Data Quality 92

Cloudera

NOVEMBER 15, 2021

In other words, structured data has a pre-defined data model , whereas unstructured data doesn’t. . It facilitates AI because, to be useful, many AI models require large amounts of data for training. There is a plethora of efforts to produce models that can learn without labels or with few labels. The challenges of data.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. This piece, published in 2012, offers a step-to-step guide on everything related to SQL.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

MARCH 13, 2024

In this model, the Lambda function is invoked for each incoming event. This method uses GZIP compression to optimize storage consumption and query performance. The repository contains the AWS Serverless Application Model (AWS SAM) template and Lambda code required to try out this solution. detail.EventType TrackerName: $.detail.TrackerName

Analytics 91

Analytics IoT Metadata Internet of Things 91

Cloudera

SEPTEMBER 8, 2020

This is opening up new revenue opportunities, use cases, and even the possibility for different types of business models within the sector, changing the way that CSPs operate. . In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 66

IoT Internet of Things B2B Data-driven 66

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data.

Analytics 55

Analytics Data Lake Testing Optimization 55

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. Does anything look fishy to you…?

Metrics 58

Metrics Optimization Modeling Testing 58

Mark Raskino

FEBRUARY 25, 2019

We hear about digital efficiency, digital workplace, and digital optimization. Under the hood – their companies are still running and utterly dependant on PCs, relational databases, IP networks, messaging middleware, process models, Unix derivatives and dozens more fundamental technologies that we were happy to call IT a decade ago.

IT 49

IT Marketing Technology Interactive 49

The Unofficial Google Data Science Blog

JUNE 30, 2016

It should be noted that inverse probability weighting is not generally optimal (i.e., We do this by describing the methods in terms of loss functions whose expectation is optimized at the true value of the propensity score. In the presence of model misspecification, the estimator $hatpsi$ is inconsistent.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Howard Dresner

AUGUST 27, 2013

But one of the tribe tweeted that, at a minimum, the NSA storm will draw more attention to the organizational risks inherent in BYOD models. However, another member pointed out that BYOD is already a big challenge in mobile BI adoption because it makes it difficult to keep standardize and optimize the mobile BI experience.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

Occam's Razor

JANUARY 2, 2013

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. After that if you can't resist the itch, go play with the, now free to everyone, Attribution Modeling Tool in GA. Mobile Devices Report.

Strategy 159

Strategy Analytics Reporting Metrics 159

Ms SQL Girl

MARCH 30, 2015

Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. Data Modelling Patterns 101 Using Power Pivot. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. Data Modelling Patterns 101 Using Power Pivot. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Insight

JUNE 25, 2020

Since 2012, the Insight core value has been to put Fellows First, and we have helped over 3,000 members of our professional network transition to new, cutting-edge fields. Insight will continue to put our Fellows First by optimizing for their long-term career success. And we are doubly committed to our core value: Fellows First.

Cost-Benefit 52

Cost-Benefit Reporting Marketing Data-driven 52

O'Reilly on Data

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” And it was good.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

Occam's Razor

MARCH 12, 2012

Avoiding big disappointment and the hows were on my mind as I prepared my keynote for Strata 2012 Big Data conference. The current flawed data org structure, its challenges, and the new optimal org structure to truly bring big action to big data. If we don't answer all those hows big data will be a big disappointment.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

Edwin Chen

JANUARY 2, 2012

That’s because CRFs are indeed basically the sequential version of logistic regression: whereas logistic regression is a log-linear model for classification, CRFs are a log-linear model for sequential labels. Recall that Hidden Markov Models are another model for part-of-speech tagging (and sequential labeling in general).

Snapshot 75

Snapshot Modeling Optimization Machine Learning 75

AWS Big Data

JUNE 28, 2023

read replicas, federated query, analytics accelerators) Move the data to a data store optimized for running analytical queries such as a data warehouse The zero-ETL integration is focused on simplifying the latter approach. For Available versions , choose Aurora MySQL 3.03.1 (or or higher). For Templates , select Production.

Data Warehouse 81

Data Warehouse Analytics Metrics Dashboards 81

The Unofficial Google Data Science Blog

APRIL 17, 2017

For us, demand for forecasts emerged from a determination to better understand business growth and health, more efficiently conduct day-to-day operations, and optimize longer-term resource planning and allocation decisions. Selection and aggregation of forecasts from an ensemble of models to produce a final forecast.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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.” I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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. :). What you see is for 2012. Drive overall business outcomes by combining online and offline consumer touch points optimally.

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. In addition to the UI interface, Cloudera Machine Learning exposes a REST API that can be used to programmatically perform operations related to Projects, Jobs, Models, and Applications.

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

CIO Business Intelligence

MARCH 22, 2022

He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. He is expected to strengthen the company’s cloud solution portfolio, deliver an enhanced cloud experience for customers, and develop industry-specific solutions available on IaaS, PaaS, and SaaS models.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

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. This is generally problematic, as the model trained on such data will have difficulties recognising the minority class.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

AWS Big Data

JANUARY 22, 2024

Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security. In those cases, solutions like AWS Lake Formation could implement permissions needed, while still providing a self-serve data access model. default encryption for S3 buckets).”

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

AWS Big Data

MARCH 21, 2024

The data becomes available in Amazon Redshift within seconds, allowing you to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. For DB instance identifier , enter zero-etl-source-rms. Choose Create policy.

Data Warehouse 84

Data Warehouse Metrics Optimization Statistics 84

IBM Big Data Hub

MARCH 29, 2024

Here, we dissect those differences and discuss how businesses can use REST and GraphQL APIs to optimize their networks. GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015. However, they differ significantly in how they manage data traffic.

Interactive 80

Interactive Digital Transformation Management Optimization 80

AWS Big Data

OCTOBER 23, 2023

Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer.

Data Lake 98

Data Lake Visualization Optimization Interactive 98

AWS Big Data

SEPTEMBER 29, 2023

XML files are well-suited for applications, but they may not be optimal for analytics engines. This approach optimizes the use of your XML files. The row tag is an array that contains a set of another row tags, which provide information about a vehicle, including its make, model, and other relevant details.

Metadata 65

Metadata Visualization Data-driven Optimization 65

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

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

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. Each variant is called an “optimizer.” Let’s get started!

Optimization 85

Optimization Machine Learning Testing Visualization 85

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

IBM Big Data Hub

NOVEMBER 20, 2023

2 drives, introduced in 2012, are a type of SSD that can connect directly into a computer’s motherboard using an M.2 Because of improvements to the NVMe drivers that allow for parallelism and polling, NVMe SSDs can optimize response times and write speeds and help reduce latency to avoid CPU bottlenecks. 2 form factor.

Internet of Things 72

Internet of Things Enterprise Technology IoT 72

The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? To obtain a relative error of no more than 20%, we need roughly 100 positive labels, and more often than not, we have zero violation videos in the uniform samples for rarer policies. as estimated from the data.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

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