June, 2020

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4 Simple Ways to Split a Decision Tree in Machine Learning

Analytics Vidhya

Overview How do you split a decision tree? What are the different splitting criteria when working with decision trees? Learn all about decision tree. The post 4 Simple Ways to Split a Decision Tree in Machine Learning appeared first on Analytics Vidhya.

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Applying AI Solutions at the Startup, Growth and Enterprise Stages

Dataconomy

We see companies applying AI solutions differently, depending on their growth stage. Here are the challenges they face and the best practices at each stage. A growing number of companies are seeking to apply artificial intelligence (AI) solutions, whether they want to launch disruptive products or innovate the customer experience. The post Applying AI Solutions at the Startup, Growth and Enterprise Stages appeared first on Dataconomy.

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Eight Questions on Data Governance: An Interview with Alation Co-Founder and Chief Data Officer Aaron Kalb

Alation

The post Eight Questions on Data Governance: An Interview with Alation Co-Founder and Chief Data Officer Aaron Kalb appeared first on Alation.

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What I Love about Scrum for Data Science

Eugene Yan

Initially, I didn't like it. But over time, it grew on me. Here's why.

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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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Four truths of resilient tech stacks

Twilio Segment

David Raab, the founder of the CDP Institute, shared a 4-step process for how organizations achieve resilience. Learn the truths and hear examples from Segment STACKED experts on how their companies live and breathe each step of this resilience process.

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Edge Computing: IT meets Industry

DataCentric podcast

Enterprise IT is rapidly moving towards the edge, but what does that really mean? There are extremes to what defines edge. Edge can describe the safe environment of a remote branch office, or maybe the air-conditioned cushiness of a remote telco hut. Then there's the extreme edge, where the lines between IT and OT blur, and anything can go. Jason Andersen, Stratus Technologies' vice president of business line management, joins Moor Insights & Strategy senior technology analysts Matt

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How heads of data can jumpstart machine learning without hiring

Dataconomy

Read on the extract of the guide “6 steps to jumpstart machine learning using the resources you already have” written by Explorium – it explains how senior data professionals can enable data science in their organizations with the resources they have available, how to use cutting-edge technology to make the. The post How heads of data can jumpstart machine learning without hiring appeared first on Dataconomy.

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Prodigy v1.10: Dependencies, relations, audio, video & more

Explosion

Version 1.10 of Prodigy includes tons of new features, including manual dependency and relation annotation, audio and video annotation, a new and improved image UI, new recipe callbacks, more settings for manual NER, plus various new config options and settings.

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How to Set Up a Python Project For Automation and Collaboration

Eugene Yan

After this article, we'll have a workflow of tests and checks that run automatically with each git push.

Python 100
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Data validation for NLP applications with topic models

Depends on the Definition

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.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Securing the Infrastructure Supply Chain

DataCentric podcast

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

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10 Compelling Reasons you Should Use JupyterLab for Data Science Coding

Analytics Vidhya

Overview JupyterLab is a brilliant coding environment to perform data science tasks These 10 reasons will convince to switch to JupyterLab from Jupyter Notebooks. The post 10 Compelling Reasons you Should Use JupyterLab for Data Science Coding appeared first on Analytics Vidhya.

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Want to learn Data Science? Start with this course

Dataconomy

Choosing a Bootcamp in person or online is a tough decision, most people are looking for a career change that could boost their employment opportunities and salary. At Dataconomy we spoke to Ariadna Cuffi, a student from the Allwomen data science course for a detailed review. Allwomen have courses in. The post Want to learn Data Science? Start with this course appeared first on Dataconomy.

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Introducing spaCy v2.3

Explosion

spaCy now speaks Chinese, Japanese, Danish, Polish and Romanian! Version 2.3 of the spaCy Natural Language Processing library adds models for five new languages. We’ve also updated all 15 model families with word vectors and improved accuracy, while also decreasing model size and loading times for models with vectors. This is the last major release of v2, by the way.

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Marketing Operations in 2025: A New Framework for Success

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.

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What I Do Before a Data Science Project to Ensure Success

Eugene Yan

Haste makes waste. Diving into a data science problem may not be the fastest route to getting it done.

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Web Security 101: Cross-Site Scripting (XSS) Attacks

Victor Zhou

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.

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Searching for Answers

Alation

The post Searching for Answers appeared first on Alation.

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8 SQL Techniques to Perform Data Analysis for Analytics and Data Science

Analytics Vidhya

Overview SQL is a must-know language for anyone in analytics or data science Here are 8 nifty SQL techniques for data analysis that ever. The post 8 SQL Techniques to Perform Data Analysis for Analytics and Data Science appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

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I Reverse Engineered Monzo’s Content Marketing Strategy: Here’s What Marketers Can Learn

Dataconomy

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.

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How to identify and prioritize high-value support tickets

Twilio Segment

With this recipe, you’ll learn how to identify support tickets by pricing plan so you can prioritize your response times accordingly.

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My Notes From Spark+AI Summit 2020 (Application-Agnostic Talks)

Eugene Yan

Sharing my notes & practical knowledge from the conference for people who don't have the time.

AI 100
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RL Unplugged: Benchmarks for Offline Reinforcement Learning

DeepMind

We propose a benchmark called RL Unplugged to evaluate and compare offline RL methods. RL Unplugged includes data from a diverse range of domains including games (e.g., Atari benchmark) and simulated motor control problems (e.g. DM Control Suite). The datasets include domains that are partially or fully observable, use continuous or discrete actions, and have stochastic vs. deterministic dynamics.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Four in a Row: Customers Give Alation the Top-Rank in Dresner’s 2020 Wisdom of Crowds® Data Catalog Market Study

Alation

The post Four in a Row: Customers Give Alation the Top-Rank in Dresner’s 2020 Wisdom of Crowds® Data Catalog Market Study appeared first on Alation.

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Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python

Analytics Vidhya

Overview Information extraction is a powerful NLP concept that will enable you to parse through any piece of text Learn how to perform information. The post Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python appeared first on Analytics Vidhya.

Python 398
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Employee Spend During the Pandemic: What Can Organizations Learn?

Dataconomy

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?

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The A1 Telekom Austria Hack

Christian Haschek

On the 3rd of February 2020 I received an encrypted email on 3 of my email addresses from a person

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Why Are My Airflow Jobs Running “One Day Late”?

Eugene Yan

A curious discussion made me realize my expert blind spot. And no, Airflow is not late.

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Applying for technical roles

DeepMind

It’s no secret that the gender gap still exists within STEM. Despite a slight increase in recent years, studies show that women only make up about a quarter of the overall STEM workforce in the UK. While the reasons vary, many women report feeling held back by a lack of representation, clear opportunities and information on what working in the sector actually involves.

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Deliver on the Promise of the Cloud with Alation and Databricks

Alation

The post Deliver on the Promise of the Cloud with Alation and Databricks appeared first on Alation.

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3 Building Blocks of Machine Learning you Should Know as a Data Scientist

Analytics Vidhya

Overview A machine learning system consists of multiple building blocks that need to be managed Learn about the three key building blocks of machine. The post 3 Building Blocks of Machine Learning you Should Know as a Data Scientist appeared first on Analytics Vidhya.

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The Cloud Development Environment Adoption Report

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.