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

Domino Data Lab

APRIL 21, 2021

This is to prevent any information leakage into our test set. 2f%% of the test set." 2f%% of the test set." Fraudulent transactions are 0.17% of the test set. There are different approaches to this strategy, with the two most commonly used being random oversampling and SMOTE. 2f%% of the test set."

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Howard Dresner

AUGUST 27, 2013

Before the perfect storm, our tweetchat tribe (comprised of customers, vendors and consultants/analysts) were of the opinion that the growing “app” mentality for “cool stuff” among consumers and the easy-to-consume info in mobile apps could end up increasing trust and thus lead to less testing and faster releases.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

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

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

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?

Experimentation 61

Experimentation Testing Statistics Metrics 61

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. It should be noted that inverse probability weighting is not generally optimal (i.e., the curse of dimensionality).

Statistics 44

Statistics Optimization Modeling Experimentation 44

O'Reilly on Data

SEPTEMBER 19, 2023

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware. Those algorithms packaged with scikit-learn?

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

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 79

Marketing Strategy Big Data ROI 79

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. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood).

Modeling 40

Modeling Statistics Advertising Testing 40

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 123

Machine Learning Visualization Data Science Metrics 123

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

Domino Data Lab

MARCH 3, 2019

I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. That represents a significant shift in strategy and cloud providers stand to benefit. This contrast provides a good basis for drawing distinctions between the leaders and the laggards. Or something. Technologies.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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 79

Interactive Digital Transformation Management Optimization 79

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. A/B testing! Stop switching tools!

Analytics 120

Analytics Measurement Data-driven Optimization 120

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. But, yeah.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

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. It offers migration from desktop to a cloud solution, and an open-source edition.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145