Sat.Jan 29, 2022 - Fri.Feb 04, 2022

article thumbnail

Interactive Tweet Sentiment Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the advent of social media, a lot of data has been generated and is being generated. This data corresponds to either the opinion of people on political matters, on products they use, or on the services they use from companies. Mining this […]. The post Interactive Tweet Sentiment Visualization appeared first on Analytics Vidhya.

article thumbnail

7 Steps to Mastering Machine Learning with Python in 2022

KDnuggets

Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

DeepMind claims its new code-generating system is competitive with human programmers

Dataconomy

Last year, San Francisco-based research lab OpenAI released Codex, an AI model for translating natural language commands into app code. The model, which powers GitHub’s Copilot feature, was heralded at the time as one of the most powerful examples of machine programming, the category of tools that automates the development and maintenance of.

AI 244
article thumbnail

5 Ways Where Data-Driven Analytics Reshaped The Software Industry

Smart Data Collective

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.

Analytics 131
article thumbnail

Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

article thumbnail

Implementing Logistic Regression from Scratch using Python

Analytics Vidhya

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 […].

Python 346
article thumbnail

How to Write SQL in Native Python

KDnuggets

If the idea of being able to link with SQL databases and define, manipulate, and query using Python sounds appealing, check out the SQLModel library.

SQL 364

More Trending

article thumbnail

Top Benefits of Using Docker for Data Science

Smart Data Collective

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.

article thumbnail

Privacy-Preserving in Machine Learning (PPML)

Analytics Vidhya

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 […].

article thumbnail

Data Science Programming Languages and When To Use Them

KDnuggets

Read this guide through the most common data science programming languages and when to use them in data science.

article thumbnail

Blockchain and AI Equals the Future of Secure Data Processing and Storage

Dataconomy

Blockchain and AI are two of the most disruptive technologies available today. As these technologies continue to develop, whole industries will be transformed. However, a lack of access to open source projects can hinder the development and use of both AI and blockchain. Data, one of the most important aspects.

AI 172
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

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?

article thumbnail

Accuracy of groundhog weather prediction

FlowingData

For FiveThirtyEight, Simran Parwani and Kaleigh Rogers compared Groundhog Day predictions against actual weather data from the National Oceanic and Atmospheric Administration: After dozens of grueling hours of investigation, FiveThirtyEight can confirm that Punxsutawney Phil is a charlatan. A groundbreaking analysis has revealed the Pennsylvania-based groundhog who makes annual predictions about the arrival of spring is not nearly as reliable a prognosticator as those close to him claim.

124
124
article thumbnail

Statistical Inference Using Python

Analytics Vidhya

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.

Python 344
article thumbnail

Artificial Intelligence and the Metaverse

KDnuggets

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. .

article thumbnail

Several IIoT Solutions That Help Your Business

Smart Data Collective

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.

article thumbnail

Marketing Operations in 2025: A New Framework for Success

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.

article thumbnail

When There Were More Deaths Than Births in the U.S.

FlowingData

The two counts have been getting closer to each other. The past couple of years accelerated the process. Read More.

145
145
article thumbnail

Deploy your ML model as a Web Service in Microsoft Azure Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This article will provide you with a hands-on implementation on how to deploy an ML model in the Azure cloud. If you are new to Azure machine learning, I would recommend you to go through the Microsoft documentation that has been provided in the […]. The post Deploy your ML model as a Web Service in Microsoft Azure Cloud appeared first on Analytics Vidhya.

Azure 330
article thumbnail

Classifying Long Text Documents Using BERT

KDnuggets

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?

article thumbnail

Data Analytics Helps Optimize Subscriber-Based Business Models

Smart Data Collective

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.

Analytics 115
article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

article thumbnail

Data for the win: How the Team USA visualizations were made

Tableau

Katherine Rowe. Planning Manager, Tableau. Tanna Solberg. February 3, 2022 - 7:29pm. February 4, 2022. Data analytics now play a growing and crucial role in how sports organizations like Team USA are making decisions and improvements to their programs. As a proud partner of Team USA, Tableau has been working with a number of the National Governing Bodies (NGBs)—the organizations that manage and oversee individual sports—to help them see and understand data related to performance, training, and m

Tableau 107
article thumbnail

Introduction to AdaBoost for Absolute Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. AdaBoost stands for Adaptive Boosting. It is a statistical classification algorithm. It is an algorithm that forms a committee of weak classifiers. It boosts the performance of machine learning algorithms. It helps you form a committee of weak classifiers by combining them into a single strong […].

Algorithm 330
article thumbnail

5 Ways To Use AI For Supply Chain Management

KDnuggets

Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.

article thumbnail

Understanding the Principles of Data-Driven SEO in Web Design

Smart Data Collective

The intersection of different forms of technology is becoming more crucial for the future of marketing. One of the biggest changes is the combination of big data and search engine marketing. Search engine optimization has become a crucial form of marketing over the past 20 years. In addition to providing a steady stream of Internet traffic, SEO also converts very well.

Big Data 107
article thumbnail

The Cloud Development Environment Adoption Report

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.

article thumbnail

Data trends that will impact you in 2022

Tableau

Mark Nelson. President and CEO, Tableau. Bronwen Boyd. February 1, 2022 - 3:06am. February 3, 2022. If the past two years have shown us anything it’s that the ability to quickly transform your business is imperative if you want it to survive. When the pandemic took hold, many organizations had to adjust strategies and adapt to a new world—one that mostly took place online.

Tableau 101
article thumbnail

R Programming Concepts Made Easy!

Analytics Vidhya

Overview How is Type Casting done in R? Discussing about the Date datatype in R Understanding the concept of Encoding in R Introduction While the majority of the concepts remain somewhat similar across the various tools and technologies that we learn for data science, there are few concepts special to a particular tool or a […]. The post R Programming Concepts Made Easy!

article thumbnail

Effective Testing for Machine Learning

KDnuggets

Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.

article thumbnail

7 Mind-Blowing Facts You Didn’t Know About AI

Smart Data Collective

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.

article thumbnail

How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

article thumbnail

Data for the win: How the Team USA visualizations were made

Tableau

Katherine Rowe. Planning Manager, Tableau. Tanna Solberg. February 3, 2022 - 7:29pm. February 4, 2022. Data analytics now play a growing and crucial role in how sports organizations like Team USA are making decisions and improvements to their programs. As a proud partner of Team USA, Tableau has been working with a number of the National Governing Bodies (NGBs)—the organizations that manage and oversee individual sports—to help them see and understand data related to performance, training, and m

Tableau 98
article thumbnail

Top 10 AI and Data Science Trends in 2022

Analytics Vidhya

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 […].

article thumbnail

How to Build Your Career in Data Science

KDnuggets

If you’re a Data Scientist and you’re setting your 2022 goals to improve and build your career, you’ve landed on the right page.

article thumbnail

What to Expect from AI in 2022

Dataversity

These past two years have ushered in major changes to how we navigate work, human interactions, and information. These shifts have coincided with the increased maturity of AI as a field. As AI has become more widespread, accessible, and acceptable, it’s stepped in to fill gaps in the economic, social, institutional, and political realms – […].

AI 98
article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.