Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents 1. Introduction 2. Clustering 3. Types of Clustering 4. K-Means Clustering 5. Finding K value 6. Elbow Method 7. Silhouette Method 8. Implementation 9. Conclusion Introduction In this article, we will learn about K-Means clustering in detail. K-Means is one of the […].

Machine Learning 254

Machine Learning Data Science Publishing Analytics 254

David Menninger's Analyst Perspectives

FEBRUARY 3, 2022

Ventana Research recently announced its 2022 Market Agenda for Analytics , continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments in order to improve business outcomes.

Marketing 247

Marketing Analytics Optimization Technology 247

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hey folks! Data science is an emerging technology in the corporate society and it mainly deals with the data. Applying statistical analysis to data and getting insights from it is our main objective. A company wil store millions of records for analysis. A […]. The post Statistical Inference Using Python appeared first on Analytics Vidhya.

Statistics 338

Statistics Data Science Publishing Technology 338

datapine

FEBRUARY 3, 2022

Table of Contents. 1) What Are KPIs? 2) What Are Metrics? 3) KPIs vs Metrics: Main Differences. 4) Tips For KPI & Metrics Tracking. Performance tracking has never been easier. With the rise of modern self-service BI tools , everyone can monitor relevant performance indicators in a matter of seconds. But this is not without problems. Having the ability to analyze your data fast and efficiently doesn’t always mean you are doing it correctly.

Metrics 189

Metrics KPI Key Performance Indicator Sales 189

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

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Logistic Regression If you are here, you are already introduced to the concept of logistic regression and probably have had your hands dirty working on different datasets. The scikitlearn’s LogisticRegression is by far the best tool to use for any logistic regression […].

Data Science 339

Data Science Publishing Analytics Machine Learning 339

KDnuggets

FEBRUARY 3, 2022

For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more. .

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120

KDnuggets

FEBRUARY 3, 2022

Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”. How can we use BERT to classify long text documents?

Modeling 110

Modeling 110

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Overview Machine learning (ML) has a lot of potential for increasing productivity. However, the quality of the data for training ML models should be excellent to provide good results. Any ML algorithm provides excellent performance only when there is huge and perfect data fed […].

Machine Learning 322

Machine Learning Data Science Publishing Modeling 322

Smart Data Collective

FEBRUARY 3, 2022

For the first time, the Internet of Things (IoT) appeared in 1999. The basis of this concept is data transmission between devices that allows them to gather, process, and analyze information using special equipment and software. In other words, the IoT system means connecting things (equipment) to the Internet for improving the quality of people’s life.

Internet of Things 111

Internet of Things IoT Cost-Benefit Interactive 111

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better. Deep learning, natural language processing, and computer vision are examples […].

Data Science 307

Data Science Deep Learning Big Data Machine Learning 307

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

Smart Data Collective

FEBRUARY 3, 2022

The subscription market enjoys immense popularity. The one-time purchase method isn’t considered to be efficient within specific niches. Therefore, the subscription business model is changing how customers pay for the service they receive. The concept includes paying a small fee over the time of the relationship between the company and the customer.

Optimization 105

Optimization Data Analytics Modeling Analytics 105

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. [link] How did you find this blog? You typed some keywords related to data science in your browser. Then the search engine which you are using has redirected you to here within milliseconds. Have you ever thought about how it worked? Yes.! The unbeatable power […]. The post Weaviate: Towards the New Era of Vector Search Engines appeared first on Analytics Vidhya.

Data Science 295

Data Science Publishing Analytics IT 295

Alation

FEBRUARY 3, 2022

DevOps. Lean. Kaizen. What do all these disciplines have in common? Continuous improvement. What Is Continuous Improvement? Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process. And they continuously improve by integrating new insights into future cycles. Borne of the Japanese business philosophy, kaizen today is most often associated with Toyota.

Data Governance 98

Data Governance Measurement Metadata Testing 98

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction A chatbot is a computer application that interacts with the user. It can be as simple as an information-gathering chatbot or as complex as a wellness coach chatbot that tracks your meals, body weight, water intake and suggests customized exercise or diet […]. The post A simple guide to RASA 3.x appeared first on Analytics Vidhya.

Interactive 285

Interactive Data Science Publishing Analytics 285

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

Smart Data Collective

FEBRUARY 3, 2022

The concept of artificial intelligence has been around for some time now, and there are major breakthroughs in AI technology. AI developers are making progress creating new applications. There are tons of devices that use artificial intelligence because there are tons of artificial intelligence companies that deal in many spheres. Efforts over the past two decades have been primarily focused on the development of artificial intelligence and machine learning.

Machine Learning 94

Machine Learning Manufacturing Forecasting Business Analysis 94

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Image source: Author Introduction These days Data Science professionals are expected to have some background and experience in ‘Web Scraping.’ This technique involves gathering relevant data from one or more web pages or websites using a tool like Selenium.

Data Science 270

Data Science Publishing Analytics 270

KDnuggets

FEBRUARY 3, 2022

Here is the list of the top 8 data science courses and programs that you can consider for upskilling yourself and get the best data scientist job in 2022.

Data Science 96

Data Science 96

Smart Data Collective

FEBRUARY 3, 2022

VPN technology is becoming a defining feature of a world governed by big data. This is one of the reasons the market is projected to be worth almost $34 billion by 2026. There are many reasons that data-driven consumers and businesses are interested in using VPNs. Many people wonder whether they should use VPNs to improve the speed of their Internet connections, which is a growing concern as big data becomes more of a priority.

Big Data 77

Big Data Strategy Cost-Benefit Data-driven 77

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

KDnuggets

FEBRUARY 3, 2022

This tutorial provides only a brief synopsis of the data warehouse in Snowflake, which we will go through in more detail.

Data Warehouse 107

Data Warehouse Analytics 107

Dataiku

FEBRUARY 3, 2022

Looking to expand your data science skills or uplevel your knowledge? Since its launch in 2020 , the Dataiku Community has been the one-stop destination for peer-to-peer support and learning about Dataiku and data science.

Data Science 59

Data Science IT 59

Data Virtualization

FEBRUARY 3, 2022

Reading Time: 3 minutes Over the last decade, the rise of cloud storage technologies and the associated ease of implementing new applications and IT systems has led to data silos and made the data landscape, spread across these hybrid and multi-cloud environments, look more. The post Tackling Cloud Data Integration Woes with the Denodo Platform appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Technology Management IT 52

Smart Data Collective

FEBRUARY 3, 2022

Thanks to the rapid digital transformation , the software industry is one of the fastest-growing industries globally. Data analytics helps to determine the success of the business. Although the COVID-19 pandemic harmed several businesses, the software industry didn’t suffer much of a collapse. Digital technology has helped almost every industry.

Data-driven 126

Data-driven Software Analytics Machine Learning 126

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Strategy

Ontotext

FEBRUARY 3, 2022

For hundreds of years, a single craftsman working in isolation could produce a product – a cobbler made shoes, a smith made tools, and a cartwright made wagons. Then industrialization happened and the factory sprang into being. By organizing the labor of many people around an assembly line, factories produced products faster than ever. At the same time, by componentizing the process, they could create more complex goods.

Manufacturing 52

Manufacturing IoT Internet of Things Interactive 52

Smart Data Collective

FEBRUARY 3, 2022

Docker is one of the two most popular DevOps platforms for data scientists. There are over nine million Docker accounts and the number of developers using Docker is growing 30% a year. There are a lot of compelling reasons that Docker is becoming very valuable for data scientists and developers. One of the reasons is that the configuration and user interface is so intuitive and convenient.

Data Science 115

Data Science Data Processing Testing Big Data 115