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 […].

Machine Learning 306

Machine Learning Data Science Publishing Modeling 306

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

Machine Learning 98

Machine Learning Management Data-driven Statistics 98

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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Sales

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 […].

Modeling 335

Modeling Machine Learning Data Science Publishing 335

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.

Machine Learning 160

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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Reporting Enterprise 128

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.

Optimization 328

Optimization Data Science Publishing Analytics 328

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. Analytics technology has become an invaluable aspect of modern financial trading. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge.

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Visualization Optimization Analytics Testing 145

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

Testing

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.

Data Science 160

Data Science Testing 160

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 .

Recreation/Entertainment 122

Recreation/Entertainment Data Processing Sales Publishing 122

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.

Data Science 328

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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Strategy IoT Risk Data-driven 136

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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.

Strategy

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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KPI Optimization Data Integration Management 116

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.

Management 326

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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Technology Machine Learning Data-driven Insurance 131

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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.

Testing

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 110

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

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.

Insurance 112

Insurance Cost-Benefit Risk Technology 112

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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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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).

Experimentation 103

Experimentation Testing Optimization Marketing 103

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 […].

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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 105

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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

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.

IT 119

IT 119

Paul Turley

FEBRUARY 6, 2022

Part of the the series: Doing Power BI the Right Way When you sign-up for the Power BI service at PowerBI.com (this address redirects to App.PowerBI.com), use establish a tenant for your organization, hosted in the Azure cloud. Even if you setup a 90-day trial account, you have a tenant that you can upgrade later on.

Data Processing 101

Data Processing 101

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 8, 2022

Have you stopped to think about the state of the Internet and the role it plays in our daily lives? We are more connected today than ever before. The Internet has unquestionably brought a lot of benefits to our lives. However, it has also created a lot of risks. As more data is stored over the Internet, we are more vulnerable than ever. In the first six months of 2019, over 4.1 billion records were exposed in data breaches.

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Recreation/Entertainment Risk Measurement Strategy 98

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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