KDnuggets
APRIL 21, 2022
Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.
Analytics Vidhya
APRIL 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! In a normal software engineering development cycle, you would now sit back and relax; however, in the machine learning development cycle, deployment to production is just about […].
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dataconomy
APRIL 21, 2022
We searched the risks and benefits of artificial intelligence and tried to decide is it evil or not? Humans have long desired to construct machines that can make decisions. It was thought of as a possibility that seemed too good to be true for a long time, and it was.
FlowingData
APRIL 22, 2022
In high school, we spend most of our days with friends and immediate family. Then we get older and get jobs, get married, and grow our own families to spend more time with co-workers, spouses, and kids. Here’s how things change, based on a decade of data from the American Time Use Survey, from age 15 to 80. Read More.
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?
KDnuggets
APRIL 21, 2022
I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.
Analytics Vidhya
APRIL 17, 2022
This article was published as a part of the Data Science Blogathon Introduction Most drivers nowadays are quite familiar with all the indicators on their car dashboard. In more detail, each indicator is a part of an information signal that constantly works to monitor the car’s health status, which can be diagnosed through an OBD […]. The post Track Your Trip Through an OBD system Using Python appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
APRIL 20, 2022
Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog.
KDnuggets
APRIL 19, 2022
Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.
Analytics Vidhya
APRIL 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction Selling old stuff had always been a hassle in earlier times. No matter how good an item might have been, finding a buyer and getting the appropriate Market price was always a challenge. One was only able to sell items within a […]. The post Determining the Market Price of Old Vehicles Using Python appeared first on Analytics Vidhya.
Dataconomy
APRIL 18, 2022
Combining data from various sources into a single, coherent picture is known as data integration. The ingestion procedure starts the integration process, including cleaning, ETL mapping, and transformation. Analytics tools can’t function without data integration since it allows them to generate valuable business intelligence. There is no one-size-fits-all solution when.
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!
FlowingData
APRIL 18, 2022
Taxes are due today in the U.S. (yay). Geoffrey A. Fowler for The Washington Post on the part when tax services like TurboTax and H&R Block ask for your data : What he discovered is a little-discussed evolution of the tax-prep software industry from mere processors of returns to profiteers of personal data. It’s the Facebook-ization of personal finance.
KDnuggets
APRIL 18, 2022
In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.
Analytics Vidhya
APRIL 17, 2022
This article was published as a part of the Machine Learning. Introduction This article is about predicting SONAR rocks against Mines with the help of Machine Learning. SONAR is an abbreviated form of Sound Navigation and Ranging. It uses sound waves to detect objects underwater. Machine learning-based tactics, and deep learning-based approaches have applications in […].
Dataconomy
APRIL 20, 2022
Anything as a Service (XaaS) is a term that refers to a broad category of cloud computing and remote access services. Anything as a service is an all-encompassing phrase that refers to providing anything as a service. Businesses can pay a monthly subscription to a managed service provider to ensure.
Advertisement
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.
Eugene Yan
APRIL 16, 2022
Introducing randomness and/or learning from inherent randomness to mitigate position bias.
KDnuggets
APRIL 18, 2022
YouTube has become an important element in people's self-development and increase of knowledge. Check out this list of YouTube channels that offer Data Science learning.
Analytics Vidhya
APRIL 19, 2022
Dear Readers, We are back with another episode of our flagship learning series on data analytics, “The DataHour”. In this edition, Dr. Shantha Mohan, Mentor and Project Guide at Carnegie Mellon University’s Integrated Innovation Institute, will guide you through “Artificial Intelligence in Retail” applications. Machine learning plays a vital role in Retail Management, primarily due […].
Dataconomy
APRIL 18, 2022
Data as a service (DaaS) is a data management approach that uses the cloud to offer storage, integration, processing, and analytics capabilities through a network connection. The DaaS architecture is based on a cloud-based system that supports Web services and service-oriented architecture (SOA).
Advertisement
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?
FlowingData
APRIL 20, 2022
Zack Capozzi, for USA Lacrosse Magazine, explains how he calculates win probabilities pre-game and during games. On interpretation, which could easily apply to other sports and all forecasts: But interpretation here matters quite a bit. And this is frustrating for some people, but that 61 percent should be interpreted as: “if these teams played 100 times, we would expect Marquette to win 61 of those games.
KDnuggets
APRIL 19, 2022
Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.
Analytics Vidhya
APRIL 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven world, organisations work with massive datasets and leverage some aspects of this data for their day-to-day operations. Data professionals in such companies prefer to have small partitions of data as it allows them to analyse and manipulate information without any hassle. […].
Dataconomy
APRIL 21, 2022
Public data scraping is not a problem according to the US Court of Appeals for the Ninth Circuit. The court recently ruled that data scraping from a public website does not constitute computer fraud under the Computer Fraud and Abuse Act (CFAA). In 2017, HiQ filed a lawsuit against LinkedIn’s.
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.
FlowingData
APRIL 20, 2022
Atomic Agents is a JavaScript library by Graham McNeill that can help simulate the interactions between people, places, and things in a two-dimensional space. Saving for later. Looks fun. Tags: agent , Graham McNeill , JavaScript , modeling.
KDnuggets
APRIL 21, 2022
This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R.
Analytics Vidhya
APRIL 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Modern applications and products deal with large amounts of data. The quantity of data being processed and utilised in modern times is enormous. So, the question arises? How to manage large files and data. Data size soon outgrows a machine’s storage limit […].
Dataconomy
APRIL 18, 2022
Green computing is a method for making efficient and sustainable use of computers. It includes producing, designing, discarding, and responsibly utilizing computers and related equipment with minimal to no adverse side effects on the environment. Going green is a growing trend gaining popularity as the preferred approach to doing things.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
FlowingData
APRIL 19, 2022
For TechCrunch, Zack Whittaker reporting : In its second ruling on Monday, the Ninth Circuit reaffirmed its original decision and found that scraping data that is publicly accessible on the internet is not a violation of the Computer Fraud and Abuse Act, or CFAA, which governs what constitutes computer hacking under U.S. law. The Ninth Circuit’s decision is a major win for archivists, academics, researchers and journalists who use tools to mass collect, or scrape, information that is publicly ac
KDnuggets
APRIL 20, 2022
One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.
Analytics Vidhya
APRIL 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be getting our hands dirty with PySpark using Python and understand how to get started with data preprocessing using PySpark. This particular article’s whole attention is to get to know how PySpark can help in the data cleaning process […].
Dataconomy
APRIL 18, 2022
Quantum Machine Learning (QML) is a young theoretical research discipline exploring the interplay of quantum computing and machine learning approaches. In the last couple of years, several experiments demonstrated the potential advantages of quantum computing for machine learning. The overall goal of Quantum Machine Learning is to make things move.
Advertisement
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.
Expert insights. Personalized for you.
400 
Let's personalize your content