DataKitchen

FEBRUARY 10, 2022

The post Building the Business Case for DataOps first appeared on DataKitchen.

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Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Model Development is a critical stage in the life cycle of a Data Science project. We attempt to train our data set using various forms of Machine Learning models, either supervised or unsupervised, depending on the Business Problem. Given many models available for […].

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Smart Data Collective

FEBRUARY 8, 2022

Artificial intelligence (AI) is a trending topic commonly spoken about globally. It has come to a point where all the repetitive work that we have to do manually is taken care of by the AI. 37% of businesses and organizations employ AI, and about 15% claim to use its capabilities. So, the real question is how can AI help businesses in travel? Well, as far as many businesses are concerned, AI has many advanced capabilities in managing expenses, optimizing travel programs, and improving the overal

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Machine Learning Management Statistics Data-driven 92

KDnuggets

FEBRUARY 11, 2022

Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least general code use, and aimed at beginners.

Management 160

Management 160

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

DataKitchen

FEBRUARY 8, 2022

The post New Data Horizons: Data Prep, Data Visualization, and Data Catalogs Are Ready for Prime Time first appeared on DataKitchen.

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Visualization 246

Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. This is the 2nd blog of the MLOps series. Introduction This article is part of an ongoing blog series on Machine Learning Operations(MLOps). In the previous article, we have gone through the introduction of MLOps. We have seen differences in traditional software development in […].

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KDnuggets

FEBRUARY 11, 2022

So how much math do you need to know in order to work in the data science industry? The answer: Not as much as you think.

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Machine Learning Data Science 160

Paul Turley

FEBRUARY 6, 2022

I started a series of blog posts back in 2020 about best-practice guidelines for planning and designing enterprise reporting solutions with Power BI. To make the topics covered in this series of posts easier to find and follow, they are listed on this page: Doing Power BI The Right Way – for Enterprise Reporting | Paul Turley's SQL Server BI Blog which you can access from the main menu on the blog.

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Analytics Vidhya

FEBRUARY 11, 2022

This article was published as a part of the Data Science Blogathon. […]. The post 11 Extensions to Power Up your Jupyter Notebook appeared first on Analytics Vidhya.

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Data Science Publishing Analytics 328

Smart Data Collective

FEBRUARY 8, 2022

More companies are relying on cloud technology than ever before. They are discovering the benefits of using the cloud to utilize data and facilitate communications between employees, customers, contractors and other stakeholders. One of the underappreciated benefits of cloud technology is that it makes it easier to work with virtual assistants. Savvy executives and small business owners realize that virtual assistants can perform many important tasks a lot more efficiently.

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Technology Cost-Benefit Business Intelligence Marketing 139

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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

KDnuggets

FEBRUARY 8, 2022

A collection of cheat sheets that will help you prepare for a technical interview, assessment tests, class presentation, and help you revise core data science concepts.

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Cloudera

FEBRUARY 9, 2022

As we celebrate Black History Month, for this Employee Spotlight I sat down with Marque Blackman, co-lead of the Cloudera Black Employee Network (CBEN). We discussed his experience at Cloudera, his career transitions, and what he learned along the way. We also discussed his work with CBEN and his perspective on Black History Month. Meet Marque Blackman, Director of Global Workplace .

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Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Objective “True optimization is the revolutionary contribution of modern research to decision processes” – George Dantzig. This article discusses solving a resource allocation problem using linear programming in Python. We will find an optimal value for a linear equation with different linear constraints.

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Optimization Data Science Publishing Analytics 328

Smart Data Collective

FEBRUARY 10, 2022

We have witnessed some horrifying data breaches over the last year. One of the worst was when a team of Chinese hackers penetrated the security of the Microsoft Exchange and accessed the accounts of over 250,000 global organizations. The Colonial Pipeline and SolarWinds were also victims to hackers. While large corporations like these will continue to be targets for data breaches, small businesses are also at risk.

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📌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

KDnuggets

FEBRUARY 7, 2022

In this article, I will show you how to create a web scraper from scratch in Python.

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Cloudera

FEBRUARY 10, 2022

After the launch of Cloudera DataFlow for the Public Cloud (CDF-PC) on AWS a few months ago, we are thrilled to announce that CDF-PC is now generally available on Microsoft Azure, allowing NiFi users on Azure to run their data flows in a cloud-native runtime. . With CDF-PC, NiFi users can import their existing data flows into a central catalog from where they can be deployed to a Kubernetes based runtime through a simple flow deployment wizard or with a single CLI command.

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Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Overview “You’re either the one that creates the automation or you’re getting automated.” Tom Preston-Werner. Automation affects almost every aspect of modern life, and it can be used in any industry. Automation minimizes human input and eliminates doing repetitive tasks.

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Management Data Science Publishing Analytics 326

Smart Data Collective

FEBRUARY 9, 2022

Artificial intelligence has been a positive force in our lives. A growing number of organizations are using AI technology to improve productivity, increase customer satisfaction, minimize errors and better understand emerging trends. However, AI has also led to some troublesome changes as well. One of the biggest problems brought on by AI technology is in the field of cybersecurity.

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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

FEBRUARY 10, 2022

There is a difference in the level of experience compared to Junior, Mid-Level, and Senior Data Scientists. This article will go through the expectations for all job roles and what is required to move up the ladder.

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The Data Visualisation Catalogue

FEBRUARY 11, 2022

Here you can find a list of all the research found on the Arc Diagram. An Arc Diagram is a visualisation that displays nodes placed along a single line for a one-dimensional axis and connects the nodes with arcs to show the relationship between the nodes. A lot of the papers here are focused on the mathematical side of Arc Diagrams and look at subjects such as graph theory and combinatorics rather than purely on data visualisation.

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Visualization Interactive IT 108

Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be closely working with the heart disease prediction and for that, we will be looking into the heart disease dataset from that dataset we will derive various insights that help us know the weightage of each feature and […]. The post Heart Disease Prediction using Machine Learning appeared first on Analytics Vidhya.

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Machine Learning Data Science Publishing Analytics 326

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. It truly is the bee's knees. You are likely aware that there are entire sub-cultures (and their attendant Substacks) dedicated to the most granular ideas around experimentation (usually of the landing page optimization variety).

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

KDnuggets

FEBRUARY 8, 2022

Databases are the houses of our data and data scientists HAVE TO HAVE A KEY! In this article, I discuss some lesser known concepts of SQL that data scientists do not familiarize themselves with.

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Cloudera

FEBRUARY 11, 2022

In recent years, Ethical AI has become an area of increased importance to organisations. Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This has led to Ethical AI being an increasingly popular search term and the subject of many industry analyst reports and papers.

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Analytics Vidhya

FEBRUARY 8, 2022

Overview Understanding how EDA is done in Python Various steps involved in the Exploratory Data Analysis Performing EDA on a given dataset Introduction Exploratory data analysis popularly known as EDA is a process of performing some initial investigations on the dataset to discover the structure and the content of the given dataset. It is often […].

Analytics 306

Analytics IT 306

Smart Data Collective

FEBRUARY 6, 2022

Cryptocurrencies are evolving with new technology and growing interest. The blockchain has made cryptocurrencies very valuable investments for millions of people all over the world. If you want to invest in bitcoin, ethereum or other cryptocurrencies, then you can easily purchase them over the blockchain. You just need to know which exchange to use and what steps to take to process your transactions.

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Cost-Benefit Marketing Finance Strategy 101

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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

FEBRUARY 9, 2022

It is better to use AI algorithms on small data sets for results free of human errors and false results when applied correctly. Here are some methods to apply AI to small data sets.

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IT 127

Depict Data Studio

FEBRUARY 7, 2022

What type of dashboard do we need for our project? I want to talk about something that’s a little controversial in the dashboard space: There are 4 types of dashboards, all of which are correct. You might need one type. Or, you might need all four. Every audience and every project is a little bit different. Our goal is to deliver the right data, to the right audience, at the right time.

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Dashboards Interactive Software Risk 97

Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Phonepe, Google Pay (Tez) are ubiquitous names in the Indian payment ecosystem and the top two players in the area. According to Phonepe pulse report, it has133 million monthly active users as of July’21. For the Q3-21 quarter, the total transactions were 526.8 Cr […].

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IT Data Science Publishing Reporting 305

Smart Data Collective

FEBRUARY 10, 2022

Cybersecurity is a growing concern. In 2018 alone, over 1,200 data breaches were orchestrated and nearly 450 million records were compromised. There will be more pressure to improve cybersecurity as these threats escalate. We have a problem with data security. We are more than 70 years into the digital age. We have found that data is one of the most important assets a person or company can have, and the threats of destruction and theft are constantly looming.

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Insurance Cost-Benefit Risk Technology 90

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