Analytics Vidhya

JANUARY 12, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting the income of US people based on the US census data and later we will be concluding whether that individual American have earned more or less than 50000 dollars a year. If you want to know […]. The post Analyzing the Income Level of US Census Data appeared first on Analytics Vidhya.

Data Science 398

Data Science Publishing Analytics Visualization 398

David Menninger's Analyst Perspectives

JANUARY 11, 2022

Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed. And as the organization increases its data sources and adds more systems and custom applications, it becomes challenging to manage the data consistently and keep data definitions up to date.

Software 231

Software Enterprise Management Analytics 231

DataKitchen

JANUARY 10, 2022

Cambridge, Mass. – June 16, 2021. Today, DataKitchen announced the release of the latest book in its groundbreaking DataOps series, Recipes for DataOps Success: The Complete Guide to An Enterprise DataOps Transformation. This book follows on the heels of its successful precursor, The DataOps Cookbook , which has been downloaded more than 14,000 times and counting.

Enterprise 182

Enterprise Data Analytics Data Strategy Modeling 182

O'Reilly on Data

JANUARY 11, 2022

Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API.

Experimentation 342

Experimentation Modeling Strategy Machine Learning 342

Advertiser: ZoomInfo

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.

Sales

Analytics Vidhya

JANUARY 13, 2022

This article was published as a part of the Data Science Blogathon. […]. The post NLP Tutorials Part -I from Basics to Advance appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics 400

KDnuggets

JANUARY 13, 2022

Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

160

160

Depict Data Studio

JANUARY 11, 2022

Never, ever keep the default settings. That was the overarching theme of my Lightning Talk at the DATAcated Expo, which was held virtually in October 2021. You’re not going to keep the ugly, outdated defaults. Great! But what should you do instead? And how do you modify a graph so that it’s just right for your audience? Surely a group of scientists will need something different from a group of policymakers.

IT 129

IT Visualization 129

Analytics Vidhya

JANUARY 11, 2022

This article was published as a part of the Data Science Blogathon. Human Pose estimation is a computer vision task that represents the orientation of a person in a graphical format. This technique is widely applied to predict a person’s body parts or joint position. It is one of the most exciting areas of research in computer […]. The post A Comprehensive Guide on Human Pose Estimation appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics IT 400

KDnuggets

JANUARY 13, 2022

Focusing on the important concepts for data scientists.

Data Science 160

Data Science 160

Smart Data Collective

JANUARY 14, 2022

There is no denying the fact that AI is transforming the cybersecurity industry. A double-edged sword, artificial intelligence can be employed both as a security solution and a weapon by hackers. As AI enters the mainstream, there is much misinformation and confusion regarding its capabilities and potential threats. Dystopian scenarios of all-knowing machines taking over the world and destroying humanity abound in popular culture.

Machine Learning 145

Machine Learning Deep Learning Strategy Data-driven 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

Jedox

JANUARY 12, 2022

How do you know at any time whether your company is solvent? How do you deal with financial bottlenecks? Is there a way to determine the future of your business? The answer to these questions and more: a solid financial plan. Table of Contents. What is the corporate financial planning process? What is the goal of corporate financial planning? The importance of financial planning for your company.

Uncertainty 119

Uncertainty Sales Finance Risk 119

Analytics Vidhya

JANUARY 12, 2022

This article was published as a part of the Data Science Blogathon. Source: Reference 1 Introduction Tensorflow is a popular open-source machine learning framework developed by Google. It is primarily used by machine learning practitioners in research and industry for the training and inference of deep neural networks. Instead of building machine learning and deep learning […].

Deep Learning 396

Deep Learning Machine Learning Data Science Publishing 396

KDnuggets

JANUARY 13, 2022

Any modern company of any significant size around the world has a data science department, and a data engineer at one company might have the same responsibilities as a marketing scientist at another company. Data science jobs are not well-labeled, so make sure to cast a wide net.

Data Science 160

Data Science Marketing 160

Smart Data Collective

JANUARY 9, 2022

Savvy business owners recognize the importance of investing in big data technology. Companies that utilize big data strategically end up having a strong advantage against their competitors. However, despite the benefits big data provides, companies that are using it are in the minority. Only 30% of companies have a well-defined data strategy. An even smaller number of companies have a data strategy that is supported by the company leadership.

Big Data 145

Big Data Data Analytics Advertising Analytics 145

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Strategy

Timo Elliott

JANUARY 12, 2022

It seems like everyone is talking about digital transformation, but what does it really look like at a functional level? What is the best way to get started? And what does it look like when it is done right? That is exactly what we have been exploring in the Better Together: Customer Conversations series , hosted by Tamara McCleary , CEO, Thulium, and myself.

Technology 105

Technology Digital Transformation Data Processing Cost-Benefit 105

Analytics Vidhya

JANUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be dealing with Walmart’s sales dataset and will follow all the data analysis steps on the same and as a result, will try to get some business-related insights from the operations we will be performing on this dataset. […]. The post Walmart’s Sales Analysis through Data Visualization appeared first on Analytics Vidhya.

Sales 394

Sales Visualization Data Science Publishing 394

KDnuggets

JANUARY 12, 2022

Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not.

Machine Learning 160

Machine Learning Modeling Metrics 160

Smart Data Collective

JANUARY 12, 2022

Apps are being published left and right these days, and to someone on the outside, it can almost seem as though application development is easy and everyone is doing it. But anyone who has actually worked on developing an app knows the process is exactly the opposite. It can be long, drawn-out, and unsatisfying – especially if your application does not turn out how you pictured it.

Testing 141

Testing Recreation/Entertainment Marketing Sales 141

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Testing

Teradata

JANUARY 10, 2022

There is a lot of hype today around data sharing and the value it brings to your business. But what exactly is data sharing, and why should you and your company care? Find out more.

IT 97

IT 97

Analytics Vidhya

JANUARY 11, 2022

This article was published as a part of the Data Science Blogathon. Web Scraping is considered a fundamental process of getting data from the web. It automates the process of extracting the data from a web page, which is quicker and hassle-free than the conventional copy-pasting of the data. Thanks to the programming language methods, structuring […].

Data Science 357

Data Science Publishing Analytics IT 357

KDnuggets

JANUARY 11, 2022

Finding the data you need is hard. So why not fake it?

IT 160

IT Data Science 160

Smart Data Collective

JANUARY 13, 2022

The marketing profession has been fundamentally changed due to advances in artificial intelligence and big data. The market size for AI in marketing is expected to grow ove r 31% a year through 2028. It is growing at an even faster pace as more companies discover new benefits. Unfortunately, there are a number of AI-driven marketing mistakes companies continue to make.

Machine Learning 139

Machine Learning Cost-Benefit Marketing Deep Learning 139

Advertiser: ZoomInfo

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Reporting

CDW Research Hub

JANUARY 10, 2022

The most concerning thing about the rising numbers of ransomware attacks isn’t the actual attacks. Instead, it’s the organized groups methodically and resolutely carrying out these attacks across the globe. Does this mean that the risks of ransomware have been overhyped? Not at all. Ransomware is now getting just the right amount of exposure. More awareness among C-level executives, board members and other leaders ensures more funding and tools for security teams to detect, prevent and mitigate

Behavioral Analytics 92

Behavioral Analytics Sales Risk Optimization 92

Analytics Vidhya

JANUARY 13, 2022

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. Owing to its syntax similarity to SQL, HQL has been widely adopted among data engineers and can be learned quickly by people new to the world of […]. The post HQL COMMANDS FOR DATA ANALYTICS appeared first on Analytics Vidhya.

Data Analytics 352

Data Analytics Analytics IT Big Data 352

KDnuggets

JANUARY 10, 2022

The author shares their experience of almost winning the competition and the things they have learned from the failures. Learn more about the WiDS Datathon and tips on winning the next challenge.

Data Science 160

Data Science 160

Smart Data Collective

JANUARY 14, 2022

Cloud technology has been an instrumental driving force in many industries. Companies around the world are expected to spend over $947 billion on cloud technology by 2026. There are many ways that the cloud is changing our daily lives and the business models of entire industries. One of the biggest changes has to do with employee communication. A new generation of cloud-based workplace communication apps are leading to some drastic changes in many industries.

Cost-Benefit 132

Cost-Benefit Interactive Technology Management 132

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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

Data Science and Beyond

JANUARY 13, 2022

Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

Strategy 75

Strategy 75

Analytics Vidhya

JANUARY 14, 2022

This article was published as a part of the Data Science Blogathon. Table of contents Introduction Confidence Intervals with Z-statistic Interpreting Confidence Intervals Assumptions for CI using z-statistic Confidence intervals with t-statistic Assumptions for CI using t-statistic Making a t-interval with paired data z-value vs t-value: when to use what?

Statistics 349

Statistics Data Science Publishing Analytics 349

KDnuggets

JANUARY 14, 2022

Open source Redis is being increasingly used in Machine Learning, but running it on Colab is different compared to on your local machine or with Docker. Read on for a 2-step tutorial on how to do it.

Machine Learning 159

Machine Learning IT Data Science 159

Smart Data Collective

JANUARY 12, 2022

Data analytics has arguably become the biggest gamechanger in the field of finance. Many large financial institutions are starting to appreciate the many advantages that big data technology has brought. Markets and Markets estimates that the financial analytics market will be worth $11.4 billion in the next two years. Companies in the financial sector aren’t the only ones discovering the benefits of using data analytics for financial management.

Data Analytics 131

Data Analytics Analytics Finance Data mining 131

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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