KDnuggets

MARCH 25, 2022

GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.

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Analytics Vidhya

MARCH 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].

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Dataconomy

MARCH 21, 2022

DataOps and DevOps are collaborative approaches between developers and IT operations teams. The trend started with DevOps first. This communication and collaboration approach was then applied to data processing. Both methods argue that collaboration is the primary approach for application development and IT operations teams, but they target different operation.

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Hacker News

MARCH 25, 2022

If you want to ride the next big wave in AI, grab a transformer. They’re not the shape-shifting toy robots on TV or the trash-can-sized tubs on telephone poles. So, What’s a Transformer Model? A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data element

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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

MARCH 25, 2022

Most companies look at it like it’s one big technology, and assume the vendors’ offerings might differ in product quality and price but ultimately be largely the same. Truth is, NLP is not one thing; it’s not one tool, but rather a toolbox.

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Analytics Vidhya

MARCH 25, 2022

Overview DataFrame in Python Performing Data Cleaning Operations on the Pandas DataFrame Introduction Undoubtedly, a DataFrame in python is the most important structure used to store the data because it is used in all practical cases to store our given data set which we will be using for creating our models. It is defined under […]. The post Operating on the Pandas DataFrame in Python appeared first on Analytics Vidhya.

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DataRobot Blog

MARCH 25, 2022

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.

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KDnuggets

MARCH 24, 2022

A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.

Machine Learning 400

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Analytics Vidhya

MARCH 22, 2022

Introduction Training a Deep Learning model from scratch can be a tedious task. You have to find the right training weights, get the optimal learning rates, find the best hyperparameters and the architecture that will best suit your data and model. Put it along with not having enough quality data to train and the computational […]. The post Introductory Note to Image Classification Using Fast ai appeared first on Analytics Vidhya.

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Dataconomy

MARCH 25, 2022

A finite state machine (FSM), also known as finite state automation, is a computational model that can be implemented in hardware or software to model and simulate sequential logic. This computing model is based on a hypothetical machine with one or more states. Only one single state of this machine.

Data Science 218

Data Science 218

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

MARCH 21, 2022

You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future. The IoT sector is predicted to generate over £7.5 trillion across the world. In fact, McKinsey Global predicts homes, offices, worksites, retail settings, and factories to generate around £3.55 trillion by the end of 2025.

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KDnuggets

MARCH 22, 2022

Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

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Analytics Vidhya

MARCH 25, 2022

This article was published as a part of the Data Science Blogathon. Dear readers, In this blog, we will get introduced to reinforcement learning and also implement a simple example of the same in Python. It will be a basic code to demonstrate the working of an RL algorithm. Brief exposure to object-oriented programming in Python, […]. The post A Hands-on Introduction to Reinforcement Learning with Python appeared first on Analytics Vidhya.

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Dataconomy

MARCH 22, 2022

There’s no doubt that data scientists are in high demand right now. Companies are looking for people who can help them make sense of all the data they’re collecting and use it to make better decisions. Being a data scientist is a great way to start or further your career.

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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

FlowingData

MARCH 23, 2022

Millions of Ukrainians (over three million as of this writing) have left their homes for other countries in a relatively short period of time. Sara Chodosh, Zach Levitt and Gus Wezerek for NYT Opinion put the total as of March 13 into perspective. Over just an 18-day period, Ukraine refugee counts have surpassed counts during those of other refugee crises over one-year periods, since 1975.

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KDnuggets

MARCH 24, 2022

Check out this US salary deep dive for 2022 career decisions, work, & interests.

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Analytics Vidhya

MARCH 25, 2022

Introduction The thriving industry of Data Science is continuously evolving with the technological advancements in Machine Learning and Artificial intelligence. This has opened up whole new avenues for Data Scientists worldwide. Professionals who can handle Big Data and have the necessary knowledge required for understanding, analysing and processing data are in high demand in the […].

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Smart Data Collective

MARCH 22, 2022

Smart home automation has become quite popular in recent years, moving from a luxury for the rich to a staple in many homes. The most popular smart home devices are speakers and thermostats, but a growing number of people are adopting other smart devices like door locks and security cameras. Residential smart home automation has become a massive industry, and it’s not hard to implement.

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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

FlowingData

MARCH 24, 2022

Based on estimates from the World Inequality Lab, Bloomberg shows how wealthier individuals’ habits — not just countries’ activities — contribute more to overall carbon emissions. There’s a 3-D grid map with a square for each country. It transitions from the usual way of looking at national carbon emissions to carbon emissions from the wealthy who live everywhere.

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KDnuggets

MARCH 23, 2022

CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus. and is free to anyone interested in taking it!

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Analytics Vidhya

MARCH 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to learn about Decision Tree Machine Learning algorithm. We will build a Machine learning model using a decision tree algorithm and we use a news dataset for this. Nowadays fake news spread is like wildfire and this […]. The post Decision Tree Machine Learning Algorithm Using Python appeared first on Analytics Vidhya.

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Smart Data Collective

MARCH 23, 2022

With the advancement of digital technology, electronic signatures (e-signatures) have gained massive acceptance in the business world, where artificial intelligence (AI) further leads its improvements. What Are E-Signatures? E-signatures, or the digitized or scanned version of handwritten signatures, improve business processes, allowing fast signing and approval of documents.

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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?

FlowingData

MARCH 22, 2022

Childcare is expensive in the United States. So as you would expect, higher-income households tend to use non-parental childcare more, whereas lower-income households tend more towards only parental care. Here are the percentages, based on 2019 estimates from the National Center for Education Statistics. Read More.

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KDnuggets

MARCH 23, 2022

ODSC East is less than a month away - here are five reasons why you should attend, such as learning about trending topics, amazing Keynotes, and the AI Expo Hall.

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Analytics Vidhya

MARCH 24, 2022

Introduction Given the world’s growing user base across devices and applications in recent years, we have seen a huge surge in not just the volume of data we are collecting but also in the number and variety of sources. The pandemic has certainly accelerated this trend even more and having high quality and consistency […]. The post Get to Know About Modern Data Governance appeared first on Analytics Vidhya.

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Smart Data Collective

MARCH 23, 2022

Keeping your data safe now is more challenging than ever. We keep a lot of our data on hackable devices, such as mobile phones and computers. One weak password or a phishing attack on our emails is enough to breach and expose our information and have it land in the wrong hands. We also give a lot of our information away to various companies and services we use online.

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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

MARCH 22, 2022

For The Washington Post, Andrew Van Dam, Youjin Shin and Alyssa Fowers plotted the value of imports to Russia by country and whether that country has imposed sanctions or not. The bumpy alluvial diagram shows values and rank over time with “other countries” split out on the bottom. I wonder if it would’ve been worth splitting no-sanction and sanction countries for the top and bottom instead.

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KDnuggets

MARCH 21, 2022

Linear Regression and Logistic Regression are two well-used Machine Learning Algorithms that both branch off from Supervised Learning. Linear Regression is used to solve Regression problems whereas Logistic Regression is used to solve Classification problems. Read more here.

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Analytics Vidhya

MARCH 24, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Working with Dataset Visualizations Results after Analysis Measures to be taken to reduce Terrorism End-Note Introduction Source: [link] In this article, we are going to perform Exploratory Data Analysis on terrorism dataset to find out the hot zone of terrorism. […].

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Smart Data Collective

MARCH 23, 2022

Advancements in technology have allowed it to store and collect databases in many fields. If we count the number of data on the web, it is probably a number that we have never heard of. However, it’s all about the quality and not the quantity when collecting data. Moreover, some companies are sitting on loads of consumer data and don’t know what to do with it.

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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!