Wed.Oct 16, 2019

How to Perfect Your Data Culture Recipe


One of the first questions new clients generally ask us is: “How do we maximize the value from our data?”. Data Strategy

A Comprehensive Guide to Learn Swift from Scratch for Data Science

Analytics Vidhya

Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll. The post A Comprehensive Guide to Learn Swift from Scratch for Data Science appeared first on Analytics Vidhya.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Interview: AI Fun Begins After Data Engineering


SAS announced a $1 Billion investment in AI a few months ago. We sat down with Iain Brown, Head of Data Science at SAS to discuss the challenges and opportunities of AI in enterprises.

The 5 Classification Evaluation Metrics Every Data Scientist Must Know


This post is about various evaluation metrics and how and when to use them. 2019 Oct Tutorials, Overviews Data Scientist Machine Learning Metrics Python

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

How Artificial Intelligence(AI) Will Impact Your Life in the 2020s


As technology advances, more AI designs are expected. In the 2020s, we are bound to feel the AI-driven changes in the way we live and interact with the world. AI is expected to play a significant role in changing our lives in many ways. AI Will Improve Your Health and Life Expectancy.

How to Become a (Good) Data Scientist – Beginner Guide


A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning. 2019 Oct Opinions Beginner BI Data Scientist Sciforce Statistics

More Trending

Our Top 20 Most-Read Data and Analytics Research Last Week (to Oct 13)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc.

PaymentsJournal: AI in Finance: The Predictions

Jet Global

Richard Sampson, SVP EMEA, insightsoftware. The term “AI” is being thrown around a lot lately, but realistically how will it change the world of finance? Firstly, “AI” is an awfully broad term, so understanding how it slots into the wider automation picture is important.

On Being Model-driven: Metrics and Monitoring

Domino Data Lab

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. Many thanks to Don Miner for collaborating with Domino on this article.

How to Build a Free Cash Flow Dashboard, with Downloadable Template

Jet Global

Hundreds of different performance indicators exist, but fewer than 20 are considered absolutely essential. They have that designation because companies have discovered a direct correlation between the trajectory of these metrics and their own success or failure.

How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.

Probability Learning I: Bayes’ Theorem


Learn about one of the fundamental theorems of probability with an easy everyday example. 2019 Oct Tutorials, Overviews Bayes Theorem Naive Bayes Probability


What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Business intelligence definition. Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business.

Forrester Does the Math on the ROI of the Alation Data Catalog


Whether we’re speaking to data analysts or CDOs, data people almost instantly understand the value of the Alation Data Catalog. Faces light up when we describe how Alation helps enterprises find, understand, trust, use and reuse data.

ROI 52

Challenges You’ll Face While Building Up Your Data Analytics Team


To grow and structure an in-house data analytics team is not always a safe choice. Our Head of Analytics Department shares an example of a typical company that chooses this option, as well as 3 main challenges that they are likely to face in the process

The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

Top KDnuggets tweets, Oct 09-15: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN Post


Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; The Last SQL Guide for Data Analysis You’ll Ever Need. 2019 Oct Top Stories, Tweets Top tweets

Metadata Archiving with Snowflake

Sirius Computer Solutions

The importance of metadata. Metadata is best defined as data that characterizes data. When you query a database, it returns a specific piece of information. Metadata provides the who, what, where, when, why and how of that information.

KDnuggets™ News 19:n39, Oct 16: Key Ideas in Document Embedding; The problem with metrics is a big problem for AI


This week on KDnuggets: Beyond Word Embedding: Key Ideas in Document Embedding; The problem with metrics is a big problem for AI; Activation maps for deep learning models in a few lines of code; There is No Such Thing as a Free Lunch; 8 Paths to Getting a Machine Learning Job Interview; and much, much more. KDnuggets 2019 Issues AI Data Science Deep Learning Interview Machine Learning Metrics NLP Word Embeddings

Emirates NBD: Enabling digital transformation, delivering innovation, and a more personalized customer experience


The financial services industry has been making successful strides to digitally transform their business, making more personalized offerings while still keeping the customer experience in clear sight. Consumers want access anywhere, anytime, and answers fast.

The Time-Saving Power of Intent Data for Sales

By using the power of intent data, capturing buyer interest has become more feasible for sales. Not only that, but using it will save immense time during your workflow; a win-win on all fronts.