Analytics Vidhya

OCTOBER 12, 2021

This article was published as a part of the Data Science Blogathon Overview Malaria is a significant burden on our healthcare system and it is the major cause of death in many developing countries. It is endemic in some parts of the world which means that the disease is regularly found in the region. Therefore, early […]. The post Deep Learning based Malaria Detection Model for Beginners appeared first on Analytics Vidhya.

Deep Learning 325

Deep Learning Modeling Data Science Publishing 325

DataKitchen

OCTOBER 11, 2021

A DataOps implementation project consists of three steps. First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. It considers whether a component is deployable, monitorable, maintainable, reusable, secure and adds value to the end-user or customer.

Testing 154

Testing Metadata Dashboards Statistics 154

Smart Data Collective

OCTOBER 15, 2021

Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Data-Driven Marketing is More Important than Ever. The competition out there is fierce, so it is vital that you find ways to make your business stand out from the crowd.

Big Data 141

Big Data Marketing Advertising Data-driven 141

O'Reilly on Data

OCTOBER 12, 2021

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.”

Testing 308

Testing Measurement Consulting Modeling 308

Advertisement

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?

Business Intelligence

Analytics Vidhya

OCTOBER 12, 2021

This article was published as a part of the Data Science Blogathon Introduction to Support Vector Machine(SVM) SVM is a powerful supervised algorithm that works best on smaller datasets but on complex ones. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks, but generally, they work best in classification […].

Data Science 372

Data Science Publishing Analytics Machine Learning 372

Dataiku

OCTOBER 13, 2021

Let’s be frank — creating a lasting data culture in your company isn’t going to happen overnight. No technology you install or datasets you gather will do that for you. You need time and, as we’ve seen across pop culture, it usually takes a new idea or innovation (or an old idea packaged as new) to change culture. This change usually falls on data leaders to drive because they have a unique perspective across data, technology, and the organization.

Technology 145

Technology IT 145

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough.

Visualization 136

Visualization Cost-Benefit Big Data Prescriptive Analytics 136

Analytics Vidhya

OCTOBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction Image 1 First of all, don’t let the title deceive you! Natural Language Processing is a vast field of its own. It is evident that a lot of linguistic computation and analysis can easily be performed with modern NLP tools and applications. From […]. The post Making Natural Language Processing easy with TextBlob appeared first on Analytics Vidhya.

Data Science 368

Data Science Publishing Analytics IT 368

Cloudera

OCTOBER 12, 2021

At the end of May, we released the second version of Cloudera SQL Stream Builder (SSB) as part of Cloudera Streaming Analytics (CSA). Among other features, the 1.4 version of CSA surfaced the expressivity of Flink SQL in SQL Stream Builder via adding DDL and Catalog support, and it greatly improved the integration with other Cloudera Data Platform components, for example via enabling stream enrichment from Hive and Kudu. .

Analytics 114

Analytics Modeling IT 114

Dataiku

OCTOBER 11, 2021

It’s no secret that data malpractice and the release of confidential information have been making headlines in recent years. It seems that every few months there’s a more innovative way to hack into data, from falsifying customer metrics to interfering with election results. It’s time for this to end.

Metrics 111

Metrics IT 111

Advertisement

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

Smart Data Collective

OCTOBER 13, 2021

We mentioned previously that bias is a big problem in machine learning that has to be mitigated. People need to take important steps to help mitigate it for the future. Regardless of how culturally, socially, or environmentally aware people consider themselves to be, bias is an inherent trait that everyone has. We are naturally attracted to facts that confirm our own beliefs.

Modeling 135

Modeling Testing Machine Learning Data Science 135

Analytics Vidhya

OCTOBER 11, 2021

This article was published as a part of the Data Science Blogathon Overview In computer science, problem-solving refers to artificial intelligence techniques, including various techniques such as forming efficient algorithms, heuristics, and performing root cause analysis to find desirable solutions. The basic crux of artificial intelligence is to solve problems just like humans.

Data Science 354

Data Science Publishing Analytics 354

Depict Data Studio

OCTOBER 12, 2021

Bob Coulter is the director of the Litzsinger Road Ecology Center, a 38-acre field site in suburban St. Louis. He’s also a Depict Data Studio student and when he shared his work in our graduation ceremony, I knew it needed to be showcased. Keep up the great work Bob! – Ann. __. For the past few months, I’ve been developing dashboards to support students’ understanding of local ecology and equip them to use that local understanding as a baseline to explore the rest of the world.

Dashboards 111

Dashboards Testing Visualization Risk 111

Jedox

OCTOBER 14, 2021

Ask finance and accounting professionals if they would like to do more value adding work and you’ll hear a re-sounding “YES!” Ask them why they are not just doing it already and most often you will hear “I don’t have time”. This is like a chronic disease of the finance function but unlike most chronical diseases this one has a cure! To change the mindset of CFOs and their finance function from “a cost center to becoming a profit driver” as we discussed in a previous article, “Exploring the minds

Finance 108

Finance Optimization Forecasting Reporting 108

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

Smart Data Collective

OCTOBER 15, 2021

We have talked about the benefits of using big data in web design. One of the most important benefits of data analytics is improving user experience. Jenny Booth highlighted this in her post Data-informed design: Getting started with UX analytics. We wanted to cover this topic in more depth. Big Data is Crucial for Improving Online User Experience. Companies that use data technology strategically are able to significantly boost their overall conversion rates.

Data-driven 128

Data-driven Advertising Big Data Optimization 128

Analytics Vidhya

OCTOBER 15, 2021

This article was published as a part of the Data Science Blogathon What is Model Monitoring and why is it required? Machine learning creates static models from historical data. But, once deployed in production, ML models become unreliable and obsolete and degrade with time. There might be changes in the data distribution in production, thus causing […].

Machine Learning 343

Machine Learning Data Science Publishing Modeling 343

Dataiku

OCTOBER 12, 2021

Barry Boehm, perhaps the most influential software engineer of his generation, was delivering software to a military submarine in the early 1970s in the form of a big three-foot long metal tray filled with paper punch cards. An officer asked if the software would be on the boat when they sailed. Boehm said yes, it’s part of a new system they’ll be testing on this voyage.

Testing 105

Testing Software IT 105

Octopai

OCTOBER 11, 2021

On a scale of 1 to 10, rate the difficulty of the following tasks: Searching for a needle in a haystack Finding an earring that fell off in the Mall of America Tracking down every appearance of a given customer’s birthdate amongst 100K+ data assets across your entire BI landscape. Haystacks and gigantic malls have NOTHING on data repositories. Use it or lose it.

Metadata 98

Metadata Data Collection Optimization IT 98

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Smart Data Collective

OCTOBER 13, 2021

FinTech is about connecting with customers. They expect something different from classically understood banking. The more you know about your audience, the more you can offer them. It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from real-market examples? Figuring out the best pricing model can be tricky.

Machine Learning 128

Machine Learning Optimization Software Modeling 128

Analytics Vidhya

OCTOBER 10, 2021

This article was published as a part of the Data Science Blogathon Overview: Users formerly needed to know specialist languages, such as OpenGL, to use GPUs, which is related to their original purpose. These languages were designed specifically for GPUs, making them difficult to learn and use. GPUs, which were originally designed to speed up graphics […].

Deep Learning 351

Deep Learning Data Science Publishing Analytics 351

Dataiku

OCTOBER 15, 2021

During the 2021 Dataiku Product Days , Mark Sucrese, VP of Marketing Sciences at Epsilon , shared some insights on a very common challenge that businesses are facing today: moving from brick and mortar to online stores.

Marketing 105

Marketing 105

Ontotext

OCTOBER 14, 2021

In the past year, knowledge graphs topped the curve of the Gartner Hype Cycle for Artificial Intelligence, and graph database vendors raised more than half a billion dollars in venture capital funding. It’s safe to say knowledge graphs have entered the spotlight. But amidst all the hype and hubbub, what is the real value of a knowledge graph? In this blog series, we will explore specific industries to highlight the impact of knowledge graphs on critical use cases.

Reporting 98

Reporting Structured Data Data Warehouse Metadata 98

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

Smart Data Collective

OCTOBER 13, 2021

In the wake of the COVID pandemic, cybercrime is skyrocketing to unprecedented levels and daily ransomware attacks increased by 50% in 2020. The cause of this rise is largely due to the massive increase in American employees working from home. Where employees used to be under the umbrella of their organization’s security networks and using their business’ secured devices, today the majority of employees are remote.

Insurance 126

Insurance Cost-Benefit Measurement Management 126

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction to Stock Market Prediction Stock market prediction and analysis are some of the most difficult jobs to complete. There are numerous causes for this, including market volatility and a variety of other dependent and independent variables that influence the value of a certain […].

Machine Learning 337

Machine Learning Marketing Data Science Publishing 337

DataRobot

OCTOBER 15, 2021

Climate Change presents a global problem for our generation and the generations that will follow us. The Earth’s abundance has limits and Mother Nature will bend and stretch to provide for her inhabitants, but it may come at a cost. As our society presents advancement after advancement in technology, medicine, and industry, we can harness these investments to reduce the reflexive impact on the environment.

Forecasting 93

Forecasting Data-driven Predictive Modeling Modeling 93

Cloudera

OCTOBER 14, 2021

We’re excited to announce the availability of CDP Public Cloud Regional Control Plane in Australia and Europe. This addition will extend CDP Hybrid capabilities to customers in industries with strict data protection requirements by allowing them to govern their data entirely in-region. CDP’s public cloud architecture is designed to ensure that customer data remains within a customer’s environment at all times, helping enable companies to meet their data protection obligations, including any rest

Enterprise 91

Enterprise Management 91

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

Smart Data Collective

OCTOBER 13, 2021

The market for AI technology is growing remarkably. Businesses around the world spent over $60 billion on artificial intelligence last year alone and the demand is expected to continue to rise. Businesses spend a lot of time and resources on marketing to stand out from their competition. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors.

Technology 125

Technology Cost-Benefit Experimentation Machine Learning 125

Analytics Vidhya

OCTOBER 15, 2021

This article was published as a part of the Data Science Blogathon Overview of Streamlit If you are someone who has built ML models for real-time predictions and wondering how to deploy models in the form of web applications, to increase their accessibility. You are at the right place as in this article you will be […]. The post Machine Learning Model Deployment using Streamlit appeared first on Analytics Vidhya.

Machine Learning 348

Machine Learning Modeling Data Science Publishing 348

Jedox

OCTOBER 13, 2021

“What got you here won’t get you there” is a popular saying and CFOs around the world have long since realized this. However, creating the actual change needed to “get us there” is not taking place at the speed required. The WHY is understood but the WHAT and the HOW is where the going gets tough. In a recent post “Behold the Emergence of CFO 4.0” , we explored the emergence of CFO 4.0 and outlined five key changes for CFOs and their finance teams to make to get into the future.

Finance 80

Finance Risk Reporting IT 80

Cloudera

OCTOBER 15, 2021

As organizations wrangle with the explosive growth in data volume they are presented with today, efficiency and scalability of storage become pivotal to operating a successful data platform for driving business insight and value. Apache Ozone is a distributed, scalable, and high performance object store, available with Cloudera Data Platform Private Cloud.

Testing 87

Testing Measurement Optimization Metadata 87

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling