Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

Publishing 400

Publishing Analytics Deep Learning Machine Learning 400

Dataiku

JULY 23, 2020

This is a guest blog post by Dataquest, an online learning platform that teaches data science skills, by helping students to work with real datasets. There’s been a lot of hype around the data scientist role in recent years and it’s definitely true that there’s a lot to get excited about -- high-paying salaries, growing demand, the potential for interesting work, and did I mention high-paying salaries?

Data Science 140

Data Science IT 140

FineReport

JULY 23, 2020

In today’s fast-paced technological environment, everyone’s focus is often on the concept such as “data middle-platform”, “data warehouse”, and so on. Many people often overlook the basis of company operations: reports. Although the technical content of this work is not high, it often takes a lot of time, and the final result is often thankless.

IT 98

IT Reporting Visualization Data Warehouse 98

Jet Global

JULY 23, 2020

The COVID-19 crisis has catapulted many businesses into triage mode, with finance and accounting teams scrambling to shore up company finances in the face of an economic downturn. Government assistance in the form of Paycheck Protection Program (PPP) loans, the Main Street Lending Program, and other initiatives have been a lifeline for most small and mid-sized businesses.

Uncertainty 95

Uncertainty Finance Cost-Benefit Reporting 95

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Tim Mitchell

JULY 23, 2020

When moving data in an extraction, transformation, and loading (ETL) process, the most efficient design pattern is to touch only the data you must, copying just the data that was newly added or modified since the last load was run. This pattern of incremental loads usually presents the least amount of risk, takes less time to run, and preserves the.

Risk 59

Risk 59

Alation

JULY 23, 2020

The post Data Governance: Stay Non-Invasive in Your Approach appeared first on Alation.

Data Governance 85

Data Governance Management 85

Jet Global

JULY 23, 2020

SAP reporting works like a map through the forest. When companies have an overwhelming amount of data with which to contend, moving quickly in all directions, reporting offers a kind of guidance. It tells decision-makers how to proceed based on the broadest and deepest analysis possible. In good times and especially in unprecedented times like these—when a pandemic throws every precedent and assumption out the window—companies need powerful SAP reporting more than ever.

Reporting 52

Reporting IT Uncertainty Digital Transformation 52

3AG Systems

JULY 23, 2020

Perhaps you’re feeling a little overwhelmed trying to run a manufacturing operation in an increasingly competitive, digital business landscape: perhaps you can’t get any, enough, or the right data from your factory floor; maybe none of your data systems talk to each other. Meanwhile, that ERP/manufacturing execution system (MES)/big-software vendor has painted a beautiful picture of how all your data could work together—if you just scrap all those disparate systems and start over.

Data Warehouse 52

Data Warehouse Manufacturing Software Reporting 52

Jedox

JULY 23, 2020

This week we are pleased to welcome our Diamond Partner, smartPM.solutions , as a guest to the Jedox blog. Headquartered in Austria, they share their expertise on program and project performance management and discuss seven common mistakes and how to avoid them. Numerous project applications, approvals, budget and resource allocations, and the monitoring of the success of projects and portfolios regularly push program managers to their limits.

Management 52

Management Cost-Benefit Risk Reporting 52