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). It is also a sound strategy when experimenting with several parameters at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. Configure the destination settings with details about the S3 bucket in which the location data is stored, along with the partitioning strategy: Use and to determine the bucket and object prefixes. detail.EventType TrackerName: $.detail.TrackerName

Analytics 90

Analytics IoT Metadata Internet of Things 90

Cloudera

NOVEMBER 15, 2021

months since 2012. This is much higher than the rate between 1959 and 2012, when requirements doubled only every 2 years, roughly matching the growth rate of computational power itself (as measured by the number of transistors, Moore’s law ).

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

FineReport

SEPTEMBER 13, 2021

Companies can use performance dashboards to guide various indicators, ranging from checking the ability of a department to monitoring the availability of business strategies for global organizations. Affected by the market, from 2012 to 2015, the operating efficiency of the company was not ideal. Mobile terminal of FineReport.

Dashboards 52

Dashboards Key Performance Indicator Informatics KPI 52

Smart Data Collective

APRIL 9, 2019

Industry data shows that the real money betting and gambling sector was worth around $417 billion in 2012. Providers are giving bonuses as part of an ever-evolving payment strategy. Big data is going to have a large impact on the direction of this growing industry. iGaming accounted for 8% ($33.8 iGaming Evolves with Big Data.

Technology 66

Technology Big Data Cost-Benefit Risk 66

Hurwitz & Associates

SEPTEMBER 21, 2018

The VMware products that support this strategy were announced at VMworld 2018 in August, 2018. The aim of VMware’s strategy for hybrid cloud and multi-cloud deployments is to provide a consistent environment – whether it runs on-premises in a data center, or off-premises in a cloud. Keys to the Cloud Strategy. Other CSPs.

Software 40

Software IT Strategy IoT 40

AWS Big Data

FEBRUARY 21, 2024

To run inside the VPC, the jobs needs to be assigned to a single subnet, but the most suitable subnet can change over time (for instance, based on the usage and availability), so you may prefer to make that decision at runtime, based on your own strategy. If the strategy is capacity , it will order them from most IPs free to fewest.

Strategy 88

Strategy Management Visualization IT 88

Howard Dresner

AUGUST 27, 2013

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. percent of respondents ranked mobile BI as “critically important” in 2012. So mobile BI adoption will grow despite its current drawbacks.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

Occam's Razor

OCTOBER 15, 2012

My goal is to get them excited about creating an amazing digital acquisition strategy that delivers noteworthy experiences through their owned digital platforms, and which ultimately delivers bigger profits (usually offline, but online as well). But they are just scratching the surface of what's possible.

Advertising 136

Advertising Marketing Strategy Insurance 136

CIO Business Intelligence

MARCH 22, 2022

He has assisted the top management in planning IT strategies and leveraging technologies for rationalizing manpower, enhancing organizational productivity, and improving the efficiency of operations. He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Occam's Razor

MAY 14, 2012

It used to fall behind lag the other two in brand queries, but you can see how starting late 2009 (bad year for Target in this context) Amazon overtook Target and now (2011, 2012) is casting a big shadow over Target. They are full of specific insights you can use to optimize your online search campaigns. Five Caveats!

Measurement 128

Measurement Analytics Advertising Marketing 128

AWS Big Data

MARCH 11, 2024

The trust policy should look like the following code: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "sts:AssumeRole", "Principal": { "AWS": "arn:aws:iam::9876543210:role/MyRedshiftRole" } } ] } Sign in to the Amazon Redshift console as account A.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

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. the curse of dimensionality).

Statistics 44

Statistics Optimization Modeling Experimentation 44

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). I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.) We pass 3 parameters: loss, optimizer , and metrics.

Metrics 58

Metrics Optimization Modeling Testing 58

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

AWS Big Data

JUNE 28, 2023

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. 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

Smart Data Collective

APRIL 20, 2023

One of the many reasons that they are using big data is to create better content marketing strategies. A content marketing strategy can help businesses establish brand awareness, increase conversions, and connect with their target audience. Why Is Data Important in Content Marketing?

Marketing 78

Marketing Strategy Big Data ROI 78

Occam's Razor

DECEMBER 3, 2012

We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. Is Your Digital Strategy Magnificent?

Marketing 147

Marketing Advertising Strategy Optimization 147

O'Reilly on Data

SEPTEMBER 19, 2023

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. Isn’t it nice to uncover that in a simulated environment, where we can map out our risk mitigation strategies with calm, level heads? Those algorithms packaged with scikit-learn? The NASA ST5 antenna is another example.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

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. TPOT is a library for performing sophisticated search over whole ML pipelines, selecting preprocessing steps and algorithm hyperparameters to optimize for your use case. Train Gensim’s Word2Vec.

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

AWS Big Data

SEPTEMBER 6, 2023

To reduce latency, reduce cold start times for Java by changing the tiered compilation level to 1, as described in Optimizing AWS Lambda function performance for Java. In his free time, Marvin enjoys cycling and strategy board games. Nathan Lichtenstein is a Senior Solutions Architect at AWS based in New York City.

Testing 93

Testing Metadata Cost-Benefit Management 93

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 85

Interactive Digital Transformation Management Optimization 85

AWS Big Data

MARCH 21, 2024

Challenges Customers across industries today are looking to use data to their competitive advantage and increase revenue and customer engagement by implementing near real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. For DB instance identifier , enter zero-etl-source-rms.

Data Warehouse 83

Data Warehouse Metrics Statistics Optimization 83

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? There are many strategies we can use to estimate this quantity, and we will discuss each option in detail. Our goal is a better sampling design to improve the precision of the prevalence estimates.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

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.” the cost function). Figure 8?—?Several

Optimization 85

Optimization Machine Learning Testing Visualization 85

Occam's Razor

SEPTEMBER 21, 2015

The Directors, the Marketers, the Optimization employees and our resident social media gurus. We are going to discuss a cluster of strategies you can use to ensure that you present your message with radical simplicity and with an incredible focus. Don't underestimate the value of this strategy in your storytelling.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Domino Data Lab

APRIL 21, 2021

There are different approaches to this strategy, with the two most commonly used being random oversampling and SMOTE. First, we define a function that will perform a grid search for the optimal hyperparameters of the classifier. Selecting the optimal threshold value can be performed in a number of ways. 0.01, 0.001] }.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

AWS Big Data

MAY 19, 2023

Analytics professionals are tasked with deriving value from data stored in these distributed systems to create better, secure, and cost-optimized experiences for their customers. Orchestrating the run of and managing dependencies between these components is a key capability in a data strategy.

Machine Learning 79

Machine Learning Metrics Management Big Data 79

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 75

Internet of Things Enterprise Technology IoT 75

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. The plots below illustrate a toy example of cleaning and effects adjustments in action.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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. Ziv Ben Naim, Client Services Analytics & Strategy Lead, AppsFlyer Maayan Dukas Kfir, Data Analyst, AppsFlyer. The impact on customers.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Occam's Razor

JANUARY 10, 2011

10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. At the end of a recent keynote recently the first question to me was: "Sure you can optimize the page and campaign based on clicks and on amount donated. You can win with Omniture or WebTrends or IBM or Google.

Analytics 120

Analytics Measurement Data-driven Optimization 120

Domino Data Lab

MARCH 3, 2019

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

MARCH 31, 2016

Thompson sampling is an "explore/exploit" algorithm which was designed for Bayesian models, and its strategy is to randomly select a choice (called an "arm") with probability proportional to the posterior of that choice being the best option. Cambridge University Press, (2012). [4] See [9], [10] for a discussion of this approach.

Modeling 40

Modeling Statistics Advertising Testing 40

Cloudera

DECEMBER 12, 2018

I decided to jump ship in May of 2012 joining Cloudera. Greg Rahn: For lack of a better description, “Hadoop aware or optimized”, tends to result in a better experience with the platform. And I paused for a moment and I said, well, tell me what your container strategy and production deployment looks like.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

Sisense

JULY 23, 2021

London 2012 signaled the start of the Games organizers evolving the way they collect and manage data. “We’ve We are focused on unpicking them, really analyzing them to understand what they tell us about Games optimization.”. >>>Infused analytics can help evolve every part of your business.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

CIO Business Intelligence

FEBRUARY 3, 2023

The company also has systems optimized for industries such as supply chain management ( TradeEdge ) or banking. IBM Cloud Pak for Business Automation , for example, provides a low-code studio for testing and developing automation strategies. The document processing system, XtractEdge, for instance, offers OCR to speed form processing.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145