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Overview Geospatial data is goldmine right now and kepler.gl is a wonderful Python library for visualizing this geospatial data Learn how to use kpler.gl, The post Learn How to Visualize Geospatial Data in Jupyter using kepler.gl appeared first on Analytics Vidhya.
App-only challenger banks have risen to try and push incumbents off their financial perch, and in this battle, content marketing has been a valuable tool in their repertoires. Have you ever wondered how they do it? If you’ve never heard of Monzo, it’s a UK-based challenger bank that has grown. The post I Reverse Engineered Monzo’s Content Marketing Strategy: Here’s What Marketers Can Learn appeared first on Dataconomy.
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.
Overview Excel is a brilliant tool to perform data cleaning and data preprocessing in any analytics project Here, we showcase 5 useful Excel tricks. The post 5 Useful Excel Tricks to Become an Efficient Analyst appeared first on Analytics Vidhya.
It’s essential for organizations to be aware of shifts in employee spend that invite different risks. The data scientists at Oversight, an enterprise spend management software, reveal the ongoing spend shifts organizations face and how the pandemic has quickly reshaped travel and expense employee spend. A high-level look at the. The post Employee Spend During the Pandemic: What Can Organizations Learn?
In a recent article, we saw how to implement a basic validation pipeline for text data. Once a machine learning model has been deployed its behavior must be monitored. The predictive performance is expected to degrade over time as the environment changes.
In a recent article, we saw how to implement a basic validation pipeline for text data. Once a machine learning model has been deployed its behavior must be monitored. The predictive performance is expected to degrade over time as the environment changes.
You don't always think about the security of your vendor's supply chain as a part of your organization's cybersecurity and compliance efforts -- but you should. Everything from ensuring the authenticity of components, all the way through the potential exploitation of systems & subsystems in-transit can cause enterprise's damage. This episode has hosts Steve McDowell and Matt Kimball, both senior analysts at Moor Insights & Strategy, talking with John Grosso, Hewlett Packa
Overview Utilize this time and work on your data science resume with these top open-source projects From Facebook AI’s computer vision framework to OpenAI’s. The post 6 Open Source Data Science Projects to Impress your Interviewer appeared first on Analytics Vidhya.
Many enterprise tech solutions either struggle or fail at the “last inch” between the user’s finger and their smartphone. Read about how AI-based smart messaging can retain users and enrich their experience. Even as enterprises have automated the back-end systems, a critical prerequisite for the success of process workflows is. The post Can AI-based smart messaging transform business?
Cross-Site Scripting (XSS) vulnerabilities are one of the most dangerous web security holes that exist. In this post, we’ll see an interactive demo of XSS and learn how to protect against it. This is the second post in my Web Security 101 series. If you’ve read my introduction to CSRF, some of the preamble below might look familiar… feel free to skip ahead a bit.
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.
Acme is a framework for building readable, efficient, research-oriented RL algorithms. At its core Acme is designed to enable simple descriptions of RL agents that can be run at various scales of execution — including distributed agents. By releasing Acme, our aim is to make the results of various RL algorithms developed in academia and industrial labs easier to reproduce and extend for the machine learning community at large.
Overview Picking a Python IDE is an important choice for any analyst, data scientist, or programmer to make Here are 5 Python IDEs that. The post 5 Powerful Python IDEs for Writing Analytics and Data Science Code appeared first on Analytics Vidhya.
The most successful organizations have taken a very pragmatic approach to AI with use cases that solve nagging problems that could not be solved with traditional approaches. Let’s take a look at some of the use cases. AI is constantly evolving and, with every development, its value to businesses grows. The post Operationalising AI: a whimsical dream to grounded reality appeared first on Dataconomy.
In this recipe, we’ll show you how to use Facebook Lead Ads to determine what a user is interested in—directly from the user themself. Then, we’ll show you how to use that data to drive revenue through personalized email campaigns.
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
crypto 115 - 108 solves We intercept an algorithm that is used among Androids. There are many hidden variables. Is it possible to recover the message? Author: andre_smaira Server: nc encryption.pwn2.win 1337 Challenge link Challenge files On connecting to the challenge service, we are given two options - Also, in the server.py file, we see there are two functions, enc_plaintext and enc_flag.
Overview Feature engineering is a key aspect in acing data science hackathons Learn how to perform feature engineering here as we walk through a. The post Want to Ace Data Science Hackathons? This Feature Engineering Guide is for you appeared first on Analytics Vidhya.
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