Analytics Vidhya
NOVEMBER 21, 2021
This article was published as a part of the Data Science Blogathon. Humankind has always looked up to the stars. Since the dawn of civilization, we have mapped constellations, named planets after Gods and so on. We have seen signs and visions in celestial bodies. In the previous century, we finally had the technology to […]. The post Using Data Visualization to Explore the Human Space Race!
Dataiku
NOVEMBER 24, 2021
This is a blog post from our friends at Aimpoint Digital. Aimpoint Digital is a leading advanced analytics, data science, and engineering services firm that operates as the trusted advisor for companies looking to extract tangible value from data.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
David Menninger's Analyst Perspectives
NOVEMBER 24, 2021
Organizations have become more agile and responsive, in part, as a result of being more agile with their information technology. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications more quickly. DataOps is enabling organizations to be more agile in their data processes. As organizations are embracing artificial intelligence (AI) and machine learning (ML), they are recognizing the need to adopt MLOps.
DataKitchen
NOVEMBER 20, 2021
What makes an effective DataOps Engineer? A DataOps Engineer shepherds process flows across complex corporate structures. Organizations have changed significantly over the last number of years and even more dramatically over the previous 12 months, with the sharp increase in remote work. A DataOps engineer runs toward errors. You might ask what that means.
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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Analytics Vidhya
NOVEMBER 23, 2021
This article was published as a part of the Data Science Blogathon. Overview. Regression analysis is used to solve problems of prediction based on data statistical parameters. In this article, we will look at the use of a polynomial regression model on a simple example using real statistic data. We will analyze the relationship between […]. The post Building an end-to-end Polynomial Regression Model in R appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 26, 2021
Learn to use custom Named Entity Recognition and Relation Extraction models.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Juice Analytics
NOVEMBER 22, 2021
Whether you are a consultant, marketer, researcher, or financial analyst…a big part of your job is presenting data. It takes a special combination of skills to articulate your insights and support them with effectively visualized data. You need to be part salesperson, part data analyst, and part author. We’ve collected 11 of the most useful tips and resources to help you improve how you present data.
Analytics Vidhya
NOVEMBER 23, 2021
This article was published as a part of the Data Science Blogathon. Introduction to Classification Algorithms In this article, we shall analyze loan risk using 2 different supervised learning classification algorithms. These algorithms are decision trees and random forests. At the outset, the basic features and the concepts involved would be discussed followed by a […].
KDnuggets
NOVEMBER 23, 2021
Notes from Fluent Python by Luciano Ramalho.
Smart Data Collective
NOVEMBER 22, 2021
Big data has been a powerful force of change in the fitness industry. More fitness companies are using data analytics, AI and other technology to better understand their customers, improve their operating margins and make other changes to adapt to new trends. If you are running a fitness business, then you can’t afford to overlook the importance of big data.
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?
Teradata
NOVEMBER 22, 2021
Teradata's Martin Willcox recently passed 17 years at Teradata and a quarter of a century in the industry. Here are the ten things he's learned about data analytics in those 20-odd years.
Analytics Vidhya
NOVEMBER 22, 2021
This article was published as a part of the Data Science Blogathon. Welcome to the World of Time Series Analysis! From this article, you will learn how to perform time series analysis using the ARIMA model (with code!). The dataset used in this article can be downloaded here. The usage time series data consist of the […]. The post Performing Time Series Analysis using ARIMA Model in R appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 23, 2021
Sure, we all make mistakes -- which can be a bit more painful when we are trying to get hired -- so check out these typical errors applicants make while answering SQL questions during data science interviews.
Smart Data Collective
NOVEMBER 24, 2021
It’s been almost two years since the COVID-19 pandemic started, and now we have enough information to assume that most enterprises weren’t prepared for the crisis. Although teams had vast amounts of data and powerful analytic tools at their fingertips, the pandemic still caught most organizations off guard. As a result, most enterprise executives had to cut their plans and initiatives.
Advertisement
📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Dataiku
NOVEMBER 24, 2021
As data scientists, we work on solving various business problems to make predictions on a given population where there isn’t a very easy (and cost effective) way of knowing if you have a true representative training set for the unlabeled population. For this blog, I am trying to predict the census tracts in the U.S. that will have above average counts of people who suffer from diabetes based on their social determinants of health.
Analytics Vidhya
NOVEMBER 21, 2021
This article was published as a part of the Data Science Blogathon. What is Power BI? Microsoft‘s business analytics product, Power BI, delivers interactive data visualization BI capabilities that allow users to see and share data and insights throughout their organisation. Power BI provides insight data by using data interactively and exploring it by visualizations. […].
KDnuggets
NOVEMBER 24, 2021
Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises.
Smart Data Collective
NOVEMBER 26, 2021
With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. It lays a core foundation necessary for business planning. Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies.
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.
Cloudera
NOVEMBER 25, 2021
Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. In a February 2021 report by IDC, they estimate that world-wide revenues from AI will grow by 16.4% in 2021 to USD $327 billion. Furthermore, AI adoption is becoming increasingly widespread and not just concentrated within a small number of organisations.
Analytics Vidhya
NOVEMBER 24, 2021
This article was published as a part of the Data Science Blogathon. Table of Contents Introduction 15 Essential Excel Data Analysis Functions Methods for Data Analysis in Excel Data Analysis with Microsoft Excel Simple Linear Regression Model in Microsoft Excel Dataset Introduction to Excel for Data Analysis Data analysis is the process of […].
KDnuggets
NOVEMBER 22, 2021
PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.
Smart Data Collective
NOVEMBER 22, 2021
Data analytics technology has touched on virtually every element of our lives. More companies are using big data to address some of their biggest concerns. Securing financing is a huge example. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. One of the most important benefits of big data involves getting financing for new equipment.
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.
Ontotext
NOVEMBER 25, 2021
In our previous blog post of the series, we covered how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts. Today we’ll deal with the big issue of scaling, tackling it on two sides: what happens when you have more and faster sources of data? And what happens when you want more processing power and more resilient and available data?
Analytics Vidhya
NOVEMBER 22, 2021
This article was published as a part of the Data Science Blogathon. In the last article A Friendly Introduction to KNIME Analytics Platform I provided a brief insight into the open-source software KNIME Analytics Platform and what it is capable of. With the help of a customer segmentation example, I showed the general functions of […]. The post KNIME Tutorial – A Friendly Introduction to Components using the KNIME Analytics Platform appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 23, 2021
Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself.
Smart Data Collective
NOVEMBER 25, 2021
Data privacy concerns have become greater than ever in recent years. One recent study from the University of Maryland found that there is a data breach every 39 seconds. The threat of data breaches has become a lot greater in recent years as more businesses and consumers become dependent on big data. The proliferation of big data has made digital privacy concerns much more significant.
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.
Jet Global
NOVEMBER 22, 2021
It’s always a good idea to invest in improving your organization’s capacity to consume, digest, and analyze information quickly and efficiently. For many organizations, though, the end of the year is an especially good time to roll out new financial intelligence initiatives. As budgeting season sets in and the finance team ramps up for the end-of-year closing process, many finance leaders find that it’s a natural time to start looking at corporate performance management (CPM), sometimes referred
Analytics Vidhya
NOVEMBER 24, 2021
This article was published as a part of the Data Science Blogathon. We know how useful convolutional neural networks are. CNNs have transformed image analytics. They are the most widely used building blocks for solving problems involving images. Many architectures like ResNet, Google Net have achieved exceptional accuracies in image classification tasks are built with […].
KDnuggets
NOVEMBER 25, 2021
You can call Mito into your Jupyter Environment and each edit you make will generate the equivalent Python in the code cell below.
DataRobot
NOVEMBER 24, 2021
It should. By the year 2030, AI will deliver economic growth of $15.7 trillion, according to PwC Research. Does your business need: To target its customers more precisely? Reduce its operational costs? Develop exciting new products? Increase the reliability of its supply chain? Whatever its requirements, applying data-driven AI strategies can help. Let’s look at some examples to see how AI applications can aid any organization, large or small. .
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Expert insights. Personalized for you.
400 
Let's personalize your content