Data Scientist, Data Engineer & Other Data Careers, Explained
KDnuggets
APRIL 27, 2022
In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.
April, 2022
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Face detection using the Caffe model
Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […]. The post Face detection using the Caffe model appeared first on Analytics Vidhya.
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The history of Machine Learning – dates back to the 17th century
Dataconomy
APRIL 27, 2022
Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train themselves in unfamiliar environments, goes back to 17th century. Machine learning is a powerful tool for implementing artificial intelligence technologies. Because of its ability to learn.
Changing Who We Spend Time with as We Get Older
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.
What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?
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.
Moving from Red AI to Green AI, Part 1: How to Save the Environment and Reduce Your Hardware Costs
DataRobot Blog
APRIL 21, 2022
Machine learning, and especially deep learning, has become increasingly more accurate in the past few years. This has improved our lives in ways we couldn’t imagine just a few years ago, but we’re far from the end of this AI revolution. Cars are driving themselves, x-ray photos are being analyzed automatically , and in this pandemic age, machine learning is being used to predict outbreaks of the disease , help with diagnosis, and make other critical healthcare decisions.
7 Data Lineage Tool Tips For Preventing Human Error in Data Processing
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.
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Introduction to SQL for Data Engineering
Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […]. The post Introduction to SQL for Data Engineering appeared first on Analytics Vidhya.
AI dictionary: Be a native speaker of Artificial Intelligence
Dataconomy
APRIL 23, 2022
The most completed list of Artificial Intelligence terms as a dictionary is here for you. Artificial intelligence is already all around us. As AI becomes increasingly prevalent in the workplace, it’s more important than ever to keep up with the newest words and use types. Leaders in the field of.
Social Media Usage by Age
FlowingData
APRIL 13, 2022
Social media apps are on a lot of phones these days, but some tend towards a younger audience and others an older. Some are common across the population. Here’s the breakdown by age for American adults in 2021, based on data from the Pew Research Center. Read More.
Staff picks for Tableau Conference 2022 sessions
Tableau
APRIL 20, 2022
Christine Zuniga. April 20, 2022 - 5:52pm. April 21, 2022. There’s a lot to take in at Tableau Conference. Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . Now that the TC22 session catalog is live—check out the complete session lineup !
Agent Tooling: Connecting AI to Your Tools, Systems & Data
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 is Creating Powerful New Online Time Tracking Tools
Smart Data Collective
APRIL 11, 2022
Artificial intelligence technology has been instrumental in driving many important changes in our daily lives. We use a ton of online tools and mobile apps that rely heavily on AI technology. How important has AI been in transforming mobile apps and online tools? One study from Gartner found that it increased 270% between 2015 and 2019. Online time tracking apps are among those that use AI technology to improve the customer experience and offer the best service.
The 8 Basic Statistics Concepts for Data Science
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.
Is Quantum Computing the Future of Artificial Intelligence?
Analytics Vidhya
APRIL 14, 2022
This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing. Tech giants like IBM, Google, and Microsoft are all aggressively pursuing quantum computing technology for a good reason. The massive speedups and power savings of quantum […].
How does AI overcome the fundamental issues with traditional cybersecurity approaches?
Dataconomy
APRIL 26, 2022
Artificial intelligence in cybersecurity is a must-have combination for organizations nowadays. Artificial intelligence (AI) assists under-resourced security operations analysts in keeping pace with attacks, and this technology will have a greater role as cyberattacks increase in volume and complexity. AI technologies, such as machine learning and natural language processing that.
How to Modernize Manufacturing Without Losing Control
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
Literacy Scores by Country, in Reading, Math, and Science
FlowingData
APRIL 4, 2022
Among 15-year-old students, here’s how 77 countries compare in reading, math, and science. Higher scores are better. Read More.
How to Determine the Best Fitting Data Distribution Using Python
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.
5 Different Ways to Load Data in Python
KDnuggets
APRIL 15, 2022
Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.
Data Visualization in Python with Seaborn
KDnuggets
APRIL 13, 2022
Learn to create beautiful charts in Python using the Seaborn library.
Automation, Evolved: Your New Playbook for Smarter Knowledge Work
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.
Machine Learning Books You Need To Read In 2022
KDnuggets
APRIL 21, 2022
I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.
Naïve Bayes Algorithm: Everything You Need to Know
KDnuggets
APRIL 8, 2022
Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.
Uncertainty Quantification in Artificial Intelligence-based Systems
KDnuggets
APRIL 5, 2022
The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.
DBSCAN Clustering Algorithm in Machine Learning
KDnuggets
APRIL 4, 2022
An introduction to the DBSCAN algorithm and its implementation in Python.
The 2nd Generation of Innovation Management: A Survival Guide
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?
Logistic Regression for Classification
KDnuggets
APRIL 4, 2022
Deep dive into Logistic Regression with practical examples.
Object Detection Using Haar Cascade: OpenCV
Analytics Vidhya
APRIL 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here. Source: Link Identifying a custom object […]. The post Object Detection Using Haar Cascade: OpenCV appeared first on Analytics Vidhya.
A Comprehensive Overview of Sentiment Analysis
Analytics Vidhya
APRIL 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance. We’ll go through how this works and look at some of the most common corporate applications. We’ll also discuss the analysis’ […].
Building Vehicle Counter System Using OpenCV
Analytics Vidhya
APRIL 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to build a vehicle counter system using OpenCV in Python using the concept of Euclidean distance tracking and contours. In the last article, we talked about object detection in OpenCV using haar cascades, if you haven’t […]. The post Building Vehicle Counter System Using OpenCV appeared first on Analytics Vidhya.
Optimizing The Modern Developer Experience with Coder
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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.
Data Science Interview Guide – Part 1: The Structure
KDnuggets
APRIL 7, 2022
According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.
Deploy a Machine Learning Web App with Heroku
KDnuggets
APRIL 18, 2022
In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.
Blink Detection Application Using Computer Vision
Analytics Vidhya
APRIL 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn how to make a real-time blink detector application using computer vision. Also, we will be using more libraries and mathematics to build such an application while going through a complete pipeline and code-by-code analysis. […].
4 Factors to Identify Machine Learning Solvable Problems
KDnuggets
APRIL 6, 2022
The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.
Apache Airflow® Best Practices: DAG Writing
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!
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