Analytics Vidhya

NOVEMBER 18, 2019

Overview Here’s a quick introduction to building machine learning pipelines using PySpark The ability to build these machine learning pipelines is a must-have skill. The post Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark appeared first on Analytics Vidhya.

Machine Learning 305

Machine Learning Analytics Big Data 305

Corinium

NOVEMBER 18, 2019

In the run-up to CISO Africa 2020 I had the great pleasure to sit down with Itumeleng Makgati, the new Group CISO with SASOL, to talk about careers, strategic vision, and thoughts on "hacktivism".

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O'Reilly on Data

NOVEMBER 18, 2019

In this interview from O’Reilly Foo Camp 2019, Hands-On Unsupervised Learning Using Python author Ankur Patel discusses the challenges and opportunities in making machine learning and AI accessible and financially viable for enterprise applications. Highlights from the interview include: The biggest hurdle businesses face when implementing machine learning or AI solutions is cleaning and preparing unstructured data that exists across silos.

ROI 132

ROI Unstructured Data Machine Learning Modeling 132

Corinium

NOVEMBER 18, 2019

In the run-up to CISO Africa 2020 I had the great pleasure to sit down with Sandro Bucchianeri, the Group Chief Security Officer with Absa to talk about security culture, communicating to the board and handling internal threats.

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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

Data Science 101

NOVEMBER 18, 2019

After receiving some interest, I have decided to open up the posting more to the data science community. There are more details on the Contribute Page. If there is enough interest, I will be posting community contributed posts on Wednesdays and sponsored posts on Thursdays. What is the difference? Community contributed posts are free and are intended for individuals.

Data Science 93

Data Science Statistics 93

Corinium

NOVEMBER 18, 2019

Disasters drive innovation in the insurance industry.

Risk 170

Risk Insurance Business Intelligence 170

Juice Analytics

NOVEMBER 18, 2019

Our office Wheel of Destiny is the most actionable of data. The results tell you where to go to lunch. No questions asked. Actionable. Is there an adjective that is more fun to put in front of the word data ? Perhaps big. I’m as guilty as anyone. After all, the third step in our data storytelling framework is Action. But what types of actions are we talking about?

Snapshot 90

Snapshot Visualization Optimization Marketing 90

KDnuggets

NOVEMBER 18, 2019

When training a neural network in deep learning, its performance on processing new data is key. Improving the model's ability to generalize relies on preventing overfitting using these important methods.

Deep Learning 87

Deep Learning Modeling IT 87

FineReport

NOVEMBER 18, 2019

How Dynamic Charts Work? Made by FineReport. The above picture is a dashboard made by FineReport that contains dynamic charts. By clicking the corresponding position of the pie chart, you can display the data of the specific area, which is more interactive. Let’s compare the data presented by Excel. Is it suddenly monotonous and cold? This is the most intuitive experience that dynamic charts can bring.

Visualization 81

Visualization Dashboards Reporting Sales 81

KDnuggets

NOVEMBER 18, 2019

Since X never, ever marks the spot, this article raids the GitHub repos in search of quality automated machine learning resources. Read on for projects and papers to help understand and implement AutoML.

Machine Learning 56

Machine Learning 56

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Jet Global

NOVEMBER 18, 2019

The order-to-cash cycle is the difference between a business idea and an actual business. It’s the skeleton of the organization, the structure that supports everything else. It’s also the centerpiece of enterprise performance, the metric that matters more than any other. Successful organizations fine-tune their order-to-cash cycle to be as efficient and consistent as possible.

Optimization 53

Optimization Finance Metrics Reporting 53

KDnuggets

NOVEMBER 18, 2019

Join this live webinar from cnvrg, Continual Learning with Human-in-the-loop, Nov 26 @ 12 PM EST, and learn the role of human-in-the-loop in your ML pipeline, how to close the loop in your pipeline, and much more.

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CDW Research Hub

NOVEMBER 18, 2019

Circinus LLC is a leading provider of operational intelligence, training and support. The company uses sophisticated, integrated security solutions to help government clients identify security threats from a variety of sources, and turn that information into actionable intelligence. Running on the IBM LinuxONE platform (an IBM Z mainframe configured to run Linux exclusively) and IBM FlashSystem all-flash storage, the Circinus solution leverages a number of products from the IBM Analytics and IBM

Data Analytics 40

Data Analytics Analytics Testing Software 40

KDnuggets

NOVEMBER 18, 2019

Also: The Complete Data Science LinkedIn Profile Guide; How Data Analytics Can Assist in Fraud Detection; Research Guide for Depth Estimation with Deep Learning; 10 Free Must-read Books on AI; Beginners Guide to the Three Types of Machine Learning.

Deep Learning 46

Deep Learning Machine Learning Data Science Data Analytics 46

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

Sisense

NOVEMBER 18, 2019

Blog. Building a Data-Driven Future. It’s important for everyone at a company to have the data they need to make decisions. However, if they just work with their data team to retrieve specific metrics, they are missing out. Data teams can provide a lot more insights at a faster rate, but you will need to know how to work with them to make sure that everyone is set up for success. .

Dashboards 66

Dashboards KPI Data-driven Metrics 66

KDnuggets

NOVEMBER 18, 2019

The new AlphaStar achieved Grandmaster level at StarCraft II overcoming some of the limitations of the previous version. How did it do it?

IT 50

IT 50