KDnuggets

FEBRUARY 4, 2022

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

Data Science 400

Data Science 400

Analytics Vidhya

JANUARY 31, 2022

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.

Data Science 400

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Dataconomy

FEBRUARY 3, 2022

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.

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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.

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Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

KDnuggets

FEBRUARY 1, 2022

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.

Machine Learning 400

Machine Learning Machine Learning Python 400

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.

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Python Data Science Analytics Analytics 375

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 133

Data Science Data Scientist Big Data Big Data 133

KDnuggets

FEBRUARY 1, 2022

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.

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SQL Python Database 397

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 […].

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Python Data Science Analytics Analytics 357

Dataconomy

JANUARY 31, 2022

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.

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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

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.

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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. .

Artificial Intelligence 341

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Analytics Vidhya

FEBRUARY 3, 2022

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.

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Azure ML ML Machine Learning 337

FlowingData

FEBRUARY 4, 2022

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.

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Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

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.

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Analytics Analytics Data Analysis Data Analysis 126

KDnuggets

JANUARY 31, 2022

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.

Machine Learning 308

Machine Learning Machine Learning ML ML 308

Analytics Vidhya

JANUARY 29, 2022

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 337

Algorithm Machine Learning Machine Learning Data Science 337

Tableau

FEBRUARY 3, 2022

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

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Tableau Analytics Analytics Data Analysis 108

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

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.

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Artificial Intelligence Artificial Intelligence AI AI 116

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 300

Data Warehouse Analytics Analytics 300

Analytics Vidhya

FEBRUARY 4, 2022

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!

Data Science 328

Data Science Analytics Analytics SQL 328

Tableau

JANUARY 31, 2022

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 102

Tableau Data Governance Artificial Intelligence Artificial Intelligence 102

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

Smart Data Collective

JANUARY 31, 2022

Blockchain technology has changed our lives in innumerable ways. One of the most obvious impacts of blockchain technology has been in the cryptocurrency industry. In fact, blockchain is largely attributed with the birth of bitcoin and other cryptocurrencies. It remains one of the most important forms of technology that is shaping the industry in the years to come.

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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?

Natural Language Processing 282

Natural Language Processing 282

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 329

Machine Learning Machine Learning ML ML 329

Tableau

FEBRUARY 3, 2022

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

Tableau Analytics Analytics Data Analysis 98

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

FlowingData

FEBRUARY 2, 2022

Tom Brady announced his retirement from the National Football League, which ends a long career that stands out from the rest. As required by law, when it comes to sports records over time, The Upshot made four line charts that show cumulative stats for Brady and his peers. Tags: football , Tom Brady , Upshot.

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KDnuggets

JANUARY 31, 2022

Read this overview of how the author created a data science portfolio that stands out and gets noticed.

Data Science 281

Data Science 281

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 319

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Tableau

FEBRUARY 3, 2022

Mark Bradbourne. National Solutions Engineer, Tableau . Bronwen Boyd. February 3, 2022 - 10:19pm. February 5, 2022. Last month, Andy was discussing the value and the breadth of all the Tableau Community projects, and one of those is a new kid on the block called Back to Viz Basics (B2VB). From this project, I saw a really great post from Darragh Murray about the importance of exploratory data analysis.

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Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!