Sat.Jun 20, 2020 - Fri.Jun 26, 2020

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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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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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Mailbag: Qns on the Intersection of Data Science and Business

Eugene Yan

Does DS have business requirements? When does it make sense to split DS and DE??

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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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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.

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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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? spacy-streamlit v0.0.2

Explosion

? spaCy building blocks and visualizers for Streamlit apps - GitHub - explosion/spacy-streamlit: ?

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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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New to Kaggle? Here’s How you can Get Started with Kaggle Competitions

Analytics Vidhya

Overview Kaggle can often be intimating for beginners so here’s a guide to help you started with data science competitions We’ll use the House. The post New to Kaggle? Here’s How you can Get Started with Kaggle Competitions appeared first on Analytics Vidhya.

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? srsly v2.1.0

Explosion

? Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle) - Release v2.1.

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3 Ambitious Excel Charts to Boost your Analytics and Visualization Portfolio

Analytics Vidhya

Overview Excel charts are a powerful way to showcase your analytics profile Here are three ambitious Excel charts every analyst should be familiar with. The post 3 Ambitious Excel Charts to Boost your Analytics and Visualization Portfolio appeared first on Analytics Vidhya.

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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.

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Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch

Analytics Vidhya

Overview You can perform predictive modeling in Excel in just a few steps Here’s a step-by-step tutorial on how to build a linear regression. The post Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch appeared first on Analytics Vidhya.

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