Analytics Vidhya

AUGUST 11, 2020

Overview Understand image augmentation Learn Image Augmentation using Keras ImageDataGenerator Introduction When working with deep learning models, I have often found myself in. The post Image Augmentation on the fly using Keras ImageDataGenerator! appeared first on Analytics Vidhya.

Deep Learning 368

Deep Learning Modeling Analytics Unstructured Data 368

Teradata

AUGUST 11, 2020

Teradata Workload Management enables Vantage to be fully optimized for cloud & hybrid deployments & to efficiently deliver the lowest cost for enterprise analytics.

Optimization 124

Optimization Enterprise Management Analytics 124

Dataiku

AUGUST 11, 2020

Find out where your best leads come from. It’s no secret that marketing today relies heavily on data analytics and data science. Endless applications have been wildly studied and successfully applied in this regard, ranging from customer segmentation and targeting to building recommender systems and predicting churn. In this blogpost, we are going to address yet another interesting application of data science in marketing, which is marketing attribution.

Marketing 100

Marketing Data-driven Data Science Modeling 100

bridgei2i

AUGUST 11, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 14: Strategic priorities for Sales leaders through the crisis. Listening time: 14 minutes. Strategic priorities for Sales leaders through the crisis. Through the crisis and after, companies that bank on sales to bring in the desired revenue that will drive growth, also need to focus on making sure that their salespeople are doing things right.

Sales 98

Sales Enterprise B2B Digital Transformation 98

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Jet Global

AUGUST 11, 2020

With everything going on in the world, the only consistency is change. People, and the businesses they work with, are adapting more rapidly now than ever before. Digital transformation has the power to radically overhaul every aspect of an organization’s operations. Naturally, that includes the finance department. But because of the company-wide impact of a financial transformation, the office of the CFO plays a unique role in driving the transformation beyond its own territory.

Digital Transformation 90

Digital Transformation Finance Machine Learning Data Collection 90

MLWhiz

AUGUST 11, 2020

As Alexander Pope said, to err is human. By that metric, who is more human than us data scientists? We devise wrong hypotheses constantly and then spend time working on them just to find out how wrong we were. When looking at mistakes from an experiment, a data scientist needs to be critical, always on the lookout for something that others may have missed.

Metrics 64

Metrics 64

TreehouseTechGroup

AUGUST 11, 2020

There are four important techniques in business analytics that correspond to the different stages of maturity in the analytics lifecycle. Let’s take a look at them below: 1. Most organizations start their analytics journey by asking ‘what has happened’. The business analytics technique that answers this question is called descriptive analytics as it provides a.

Business Analytics 52

Business Analytics Descriptive Analytics Analytics IT 52