Sat.Aug 24, 2019 - Fri.Aug 30, 2019

article thumbnail

Your Definitive Guide To Building Valuable Narratives Through Data Storytelling

datapine

Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. By gaining centralized access to business data and presenting it in a visual way that follows a logical path and provides invaluable insights on a particular area or subject, you stand to set yourself apart from your competitors and become a leader in your field.

KPI 193
article thumbnail

How To Improve Cybersecurity With Data Science

Smart Data Collective

Are you startled by the rise of cyberattacks globally ? Well, your business is not immune to these attacks, and you should never be complacent with your existing security measures. There is a need to employ professionals to handle the security aspect of your business. Some of the people that will give high-level ideas on your security systems include data scientists, ethical hackers, and IT professionals.

Insiders

Sign Up for our Newsletter

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

article thumbnail

A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic)

Analytics Vidhya

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google. The post A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic) appeared first on Analytics Vidhya.

Analytics 308
article thumbnail

Becoming a machine learning practitioner

O'Reilly on Data

The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit. In this episode of the Data Show , I speak with Kesha Williams , technical instructor at A Cloud Guru , a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services.

article thumbnail

State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

article thumbnail

Interview with: Jeff Healey, Senior Director of Vertica Product Marketing at Vertica

Corinium

Tell us about your experience in working with the data analytics community at Vertica? Why do y ou like working in this space?

Marketing 199
article thumbnail

R Users’ Salaries from the 2019 Stackoverflow Survey

KDnuggets

Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.

123
123

More Trending

article thumbnail

One simple chart: Who is interested in Apache Pulsar?

O'Reilly on Data

Multi-layer architecture, scalability, multitenancy, and durability are just some of the reasons companies have been using Pulsar. With companies producing data from an increasing number of systems and devices, messaging and event streaming solutions—particularly Apache Kafka —have gained widespread adoption. Over the past year, we’ve been tracking the progress of Apache Pulsar ( Pulsar ), a less well-known but highly capable open source solution originated by Yahoo.

article thumbnail

Deep Reinforcement Learning

Domino Data Lab

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. It also covers using Keras to construct a deep Q-learning network that learns within a simulated video game environment.

article thumbnail

Types of Bias in Machine Learning

KDnuggets

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

article thumbnail

Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python

Analytics Vidhya

Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This. The post Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python appeared first on Analytics Vidhya.

article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

article thumbnail

AI Maturity Survey: Where Are We in the Path to Enterprise AI?

Dataiku

With all the media hype and coverage around AI, one might think that every company out there has Enterprise AI all figured out and is extremely mature in their data journey. However, we surveyed more than 350 data professionals and found a different story.

article thumbnail

Power BI Project Good and Best Practices

Paul Turley

The purpose of this article is to outline a set of guidelines and recommended practices for managing Microsoft Power BI projects. This guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects. Again, this guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects.

article thumbnail

Deep Learning Next Step: Transformers and Attention Mechanism

KDnuggets

With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.

article thumbnail

3 Beginner-Friendly Techniques to Extract Features from Image Data using Python

Analytics Vidhya

Overview Did you know you can work with image data using machine learning techniques? Deep learning models are the flavor of the month, but. The post 3 Beginner-Friendly Techniques to Extract Features from Image Data using Python appeared first on Analytics Vidhya.

article thumbnail

Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

article thumbnail

How Big Data Leads To Improvements In Company Letterhead Designs

Smart Data Collective

Big data has been at the forefront of the design industry for years. A number of companies have written detailed articles on the utilization of data visualization with graphics. However, big data can be effective in more rudimentary designs as well. There are a lot of effective ways to use big data to make better designs. Many modern design tools rely on sophisticated machine learning algorithms.

Big Data 101
article thumbnail

Building a Facial Recognition Robot in Less Than 2 Weeks

Dataiku

I’m Jacob, a 15-year-old computer science enthusiast who has just reached the end of a two-week internship at Dataiku, where I was tasked with creating a program that can recognize the faces of different people in the office. Here’s how I attempted to turn a Raspberry Pi into the new robo-receptionist for our London office.

article thumbnail

Object-oriented programming for data scientists: Build your ML estimator

KDnuggets

Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.

article thumbnail

Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

by YI LIU Importance sampling is used to improve precision in estimating the prevalence of some rare event in a population. In this post, we explain how we use variants of importance sampling to estimate the prevalence of videos that violate community standards on YouTube. We also cover many practical challenges encountered in implementation when the requirement is to produce fresh and regular estimates of prevalence.

Metrics 98
article thumbnail

Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

article thumbnail

How Artificial Intelligence (AI) Is Changing Banking

Smart Data Collective

Artificial intelligence (AI) serves up a number of assets and benefits for many industries. AI is one of the most discussed topics today, from chatbots to Siri and Alexa. And AI is not a trend. Research has shown that the number of consumers using AI powered virtual assistants will be in the billions in the coming years. There are tons of applications for artificial intelligence available, especially when it comes to banking.

article thumbnail

Bots Bots Bots: Introducing Robotic Process Automation (RPA)

DataRobot Blog

by Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More.

article thumbnail

Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal

KDnuggets

Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale prices, or make the right business choices.

article thumbnail

Bringing AI Skills to the Classroom

Dataiku

Just in time for the new school year, Dataiku’s latest academic partnership with Teradata University Network (TUN) is set to bring AI tools and skills to the classroom. The program empowers colleges and universities to unlock the full potential of AI by providing Dataiku software and data science resources to faculty and students.

article thumbnail

The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

article thumbnail

6 Data-Driven Marketing Strategies That Are Revolutionizing Sales

Smart Data Collective

The sales profession is responding to major changes brought by big data. The big data revolution is making the sales industry more efficient and effective than ever. In 2019, Forbes contributor Louis Columbus wrote a great article on the ways that big data is changing the sales and marketing profession. His article talked about utilizing big data for everything from customer analytics to optimizing pricing strategies.

Sales 96
article thumbnail

Software Deployment Strategy: How to Get It Right the First Time

erwin

Big or Small, Enterprise Architecture Is a Key Part of a Successful Software Deployment Strategy. A good software deployment strategy could be the difference between multiple and costly false starts and a smooth implementation. Considering the rate at which emerging technologies are introduced, it’s becoming more important than ever for organizations to have a software deployment strategy in place.

article thumbnail

Emoji Analytics

KDnuggets

Emoji is becoming a global language understandable by anyone who expresses. emotion. With the pervasiveness of these little Unicode blocks, we can perform analytics on their use throughout social media to gain insight into sentiments around the world.

Analytics 122
article thumbnail

Top 6 Mistakes to Avoid When Running a Data Science POC

Dataiku

A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science?

article thumbnail

Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

article thumbnail

How to Increase Your Privacy Online

Smart Data Collective

Today’s technology grants us the power to access information at lightning speeds, communicate with anyone in the world, and store and manage our most important files conveniently. The downside to these massive quality of life improvements is that they leave us vulnerable. If we aren’t careful, powerful corporations and nefarious individuals can get access to the data we most wish to keep private, from our browsing history to our credit card numbers.

article thumbnail

Towards Predictive Accuracy: Tuning Hyperparameters and Pipelines

Domino Data Lab

This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Fenner. The excerpt and complementary Domino project evaluates hyperparameters including GridSearch and RandomizedSearch as well as building an automated ML workflow. Introduction. Data scientists, machine learning (ML) researchers, and business stakeholders have a high-stakes investment in the predictive accuracy of models.

Testing 79
article thumbnail

4 Tips for Advanced Feature Engineering and Preprocessing

KDnuggets

Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values.

122
122
article thumbnail

Unleash business-ready data to your data citizens

IBM Big Data Hub

How much time do your data scientists and business analysts spend looking for the right data?

75
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?