Analytics Vidhya

DECEMBER 1, 2021

This article was published as a part of the Data Science Blogathon. Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? Initially, we have the definition of Software […].

Data Lake 364

Data Lake Data Science Publishing Software 364

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes. It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters, and more than 30 non-relational structured query language databases, relational database management

Analytics 179

Analytics Data Warehouse Business Intelligence Software 179

KDnuggets

NOVEMBER 29, 2021

The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.

Machine Learning 160

Machine Learning 160

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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

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.

Interactive 399

Interactive Data Science Publishing Analytics 399

DataRobot

DECEMBER 1, 2021

Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.

Machine Learning 145

Machine Learning Technology Software IT 145

KDnuggets

DECEMBER 1, 2021

This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.

Data Science 159

Data Science 159

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].

Deep Learning 398

Deep Learning Machine Learning Data Science Publishing 398

Smart Data Collective

DECEMBER 3, 2021

Are you looking to get a job in big data? That could be a wise career move. The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. The median annual wage is $118,370. However, it is not easy to get a career in big data. You need to know a lot about machine learning to land a job. You will need to make sure that you can answer machine learning interview questions before you can get a job offer.

Machine Learning 121

Machine Learning Data Science Internet of Things Big Data 121

Dataiku

NOVEMBER 29, 2021

What happens after you get the so-called sexiest job of the 21st century ? Data scientist positions are very different from one organization to another but, regardless, you can ensure a varied and exciting career in this role. But there is more to it than stepping into a team lead or expert role. Data science skills are easily reusable and data scientists who leave their specific role aren’t necessarily leaving the data science and AI field.

Data Science 105

Data Science IT 105

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Data-driven

KDnuggets

DECEMBER 3, 2021

If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.

Data Science 155

Data Science 155

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.

Data Science 396

Data Science Machine Learning Publishing Analytics 396

Smart Data Collective

NOVEMBER 29, 2021

Last year, we talked about the growing importance of big data in the entertainment industry. Marvel is one of the many companies using big data to optimize its business model. As we all know, Marvel is one of the most influential comic books in the world created by Stan Lee. Only a mind like his could create an out-of-this-world creation that would last forever.

Visualization 118

Visualization Recreation/Entertainment Big Data Statistics 118

Dataiku

DECEMBER 2, 2021

In this article, you will see how One Acre Fund , an agriculture non-profit based in East Africa, leverages Dataiku’s end-to-end data science capabilities to increase its operational efficiency by identifying farmers at risk of defaulting on their seasonal loans.

IT 105

IT Data Science Risk 105

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

KDnuggets

NOVEMBER 29, 2021

Take a moment to participate in the latest KDnuggets poll and let the community know what percentage of your machine learning models have been deployed.

Machine Learning 157

Machine Learning Modeling 157

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. SQL stands for Structured Query Language which is used to deal with Relational Databases to query from and manipulate databases. In the field of Data Science most of the time you are supposed to fetch the data from any RDBMS and run some […]. The post A Complete Beginner-Friendly Guide to SQL for Data Science appeared first on Analytics Vidhya.

Data Science 389

Data Science Publishing Analytics 389

Smart Data Collective

NOVEMBER 29, 2021

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models. However, there are some other benefits of using data analytics that don’t get quite as much attention.

Data Analytics 116

Data Analytics Analytics Big Data B2B 116

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI.

Uncertainty 101

Uncertainty Measurement Metrics Risk 101

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

KDnuggets

NOVEMBER 30, 2021

After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.

Publishing 143

Publishing 143

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model. For example – If a healthcare […].

Modeling 387

Modeling Machine Learning Data Science Publishing 387

Smart Data Collective

NOVEMBER 29, 2021

AI is revolutionizing the banking and financial sector. Read this article to get to know why banks need to introduce AI-based solutions in their workflows—the faster the better. Banking is one of those industries that can earn or save billions of dollars thanks to AI. Institutions that introduce AI-powered solutions earlier than their rivals gain a significant competitive edge.

Cost-Benefit 116

Cost-Benefit Risk Finance Statistics 116

Depict Data Studio

NOVEMBER 30, 2021

How do we make our graphs more accessible? There’s a misconception that accessibility takes all day, that’s it’s costly, or that it’s complicated. Those are all false. Accessibility is woven into all my trainings, but since this is a topic I get asked about a lot, I decided to make a new talk that’s focused just on accessibility for dataviz.

Visualization 98

Visualization Testing IT 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

KDnuggets

DECEMBER 2, 2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.

155

155

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Artificial Neural Network Artificial neural network(ANN) or Neural Network(NN) are powerful Machine Learning techniques that are very good at information processing, detecting new patterns, and approximating complex processes. Artificial Neural networks ability is exemplary in tackling large and highly complex Machine […].

IT 383

IT Machine Learning Data Science Publishing 383

Smart Data Collective

NOVEMBER 29, 2021

We have endlessly discussed the benefits of using big data to make the most out of your marketing strategies. Companies that neglect to use data analytics, AI and other forms of big data technology risk falling behind to their competitors. One of the most important benefits of data analytics has been in implementing email marketing strategies. New advances in AI and analytics have made it possible to automate many email marketing strategies that used to be very difficult and time-intensive to ex

Data-driven 111

Data-driven Marketing Big Data Sales 111

Ontotext

DECEMBER 2, 2021

In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. But a successful system would eventually have to “graduate” out of the internal development stage and get to be used in the wider world.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

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

KDnuggets

NOVEMBER 29, 2021

Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.

Machine Learning 159

Machine Learning Analytics 159

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Table of Contents Overview What is Regression? Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm?

Modeling 383

Modeling Data Science Publishing Analytics 383

Smart Data Collective

NOVEMBER 29, 2021

Many disasters can create a lot of problems for businesses. One of the biggest concerns is that they can lead to data loss. If you are worried about a disaster impacting your business, then you have to be ready to restore your data as quickly as possible. This requires you to have the right disaster recovery tools on hand. You can hardly find a computer user who has never faced the issue of data loss.

Management 103

Management Software Big Data Risk 103

TDAN

DECEMBER 1, 2021

There is no denying that database administration requires a bevy of technical know-how. The DBA is the information technician responsible for ensuring the ongoing operational functionality and efficiency of an organization’s databases and the applications that access those databases. As such, DBAs are tasked with designing, implementing, and administering databases, but also performance monitoring, backup […].

Data Architecture 97

Data Architecture Metadata Management 97

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