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 350

Data Science Publishing Analytics Visualization 350

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 198

Software Enterprise Management Analytics 198

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 176

Enterprise Data Strategy Data Analytics Modeling 176

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 296

Experimentation Modeling Strategy Machine Learning 296

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

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 384

Data Science Publishing Analytics 384

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 157

Data Science Marketing 157

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 369

Data Science Publishing Analytics IT 369

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 155

Data Science 155

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 124

Machine Learning Deep Learning Strategy Data-driven 124

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Timo Elliott

JANUARY 10, 2022

I recently had the opportunity to sit down with Tom Raftery , host of the SAP Industry Insights Podcast (among others!) to discuss some of the highlights and common themes in last year’s episodes. The topics covered a wide variety of different industries, with lots of great, concrete examples of how SAP’s customers and partners are using technology to innovate.

Data Processing 113

Data Processing Manufacturing Machine Learning Technology 113

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 345

Deep Learning Machine Learning Data Science Publishing 345

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 153

Machine Learning IT Data Science 153

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 122

Machine Learning Cost-Benefit Marketing Deep Learning 122

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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 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 334

Sales Visualization Data Science Publishing 334

KDnuggets

JANUARY 12, 2022

It’s crucial to investigate the reasons why data science teams require context, consistency, and secure collaboration of their data to ensure data science success. Let's quickly examine each of these requirements so that we can better understand what data science success moving forward may look like.

Data Science 138

Data Science 138

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 116

Testing Recreation/Entertainment Marketing Sales 116

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IT

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 95

Technology Digital Transformation Data Processing Cost-Benefit 95

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 322

Statistics Data Science Publishing Analytics 322

KDnuggets

JANUARY 12, 2022

Is Data Science a Dying Career?; Why Do Machine Learning Models Die In Silence?; SQL Interview Questions for Experienced Professionals; Deliver a Killer Presentation in Data Science Interviews; What is Transfer Learning?

Machine Learning 133

Machine Learning Data Science Modeling 133

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 116

Cost-Benefit Interactive Technology IT 116

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics

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 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 303

Data Science Publishing Analytics IT 303

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

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 114

Data Analytics Analytics Finance Data mining 114

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

Dataiku

JANUARY 10, 2022

As we’ve shared in our annual trends report , 2021 was the year that a significant number of organizations had the realization that they will not scale AI without enlisting diverse teams to build and benefit from the technology — and MLOps is a critical part of any robust AI strategy. The diversification of involvement is fueled by new players who are joining the teams developing, deploying, and managing AI and the success from initial AI projects has sparked interest from business stakeholders

Strategy 75

Strategy Reporting Technology Management 75

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 294

Data Analytics Analytics IT Big Data 294

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 14, 2022

There is no disputing the fact that data technology has changed the future of the financial industry. One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. The market for analytics technology in the banking sector is projected to be worth over $5.4 billion by 2026.

Big Data 103

Big Data Cost-Benefit Finance Data-driven 103

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