Tue.Dec 20, 2022

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How to Get Your First Job in Data Science without Any Work Experience

KDnuggets

Creativity, grit, and perseverance will become the three words you live by.

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Optimizing the Energy Sector with Data Analytics

Cloudera

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. McKinsey estimates that by 2035, 50% of energy will be wind and solar.

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How to Land a Senior Data Scientist Position

KDnuggets

How to differentiate yourself as a senior in data science interviews.

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Making our apps festive with Christmas decorations

Picnic Engineering

Do you like the holiday season? At Picnic we love it! It is a time for family, Christmas trees, lights, decorations and of course fantastic dinners. And while you might think that we, as a grocery company, will tell you all about the tastiest Christmas dinners in this post, we will actually look at how we spread the holiday cheer with decorations in our apps!

Systems 52
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Make Amazing Visualizations with Python Graph Gallery

KDnuggets

Use the hundreds of charts made on Python Graph Gallery to help you make your visualization.

Python 108
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Lessons from A/B Testing on Bandit Subjects

Yelp Engineering

Abstract Compared to full-scale ML, multi-armed bandit is a lighter weight solution that can help teams quickly optimize their product features without major commitments. However, bandits need to have a candidate selection step when they have too many items to choose from. Using A/B testing to optimize the candidate selection step causes new bandit bias and convergence selection bias.

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Using Commercial Vehicle Data to Transform Servicing from Chore to Opportunity

Teradata

Using data from onboard vehicle sensors, combined with detailed information from manufacturers & partners can deliver deep insights that can transform a regular service from a chore to a delight.

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December Product Updates ? | Propel Data Analytics Blog

Propel Data

Welcome to the December Propel product updates newsletter! ?

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How to Write Unit Tests for Angular 15 Application Using Jasmine and Enforce Code Quality in a CI Workflow With Github Actions?

Workfall

Reading Time: 10 minutes Refer to Part 2 of this blog, to know How to Write Unit Tests for Forms in an Angular 15 Application Using Jasmine? In this blog, we will cover: What is Unit Testing? About Angular About Jasmine Hands-on Conclusion What Is Unit Testing? As you develop applications, you write code and as the application features expand, the more moving parts your code has.

Coding 52
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The Top Data Analytics and Science Influencers and Content Creators on LinkedIn

Databand.ai

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. Plugging into the right communities on LinkedIn can deliver a treasure trove of insights on what’s new in data analytics and science, career advice, and latest tips, and how it connects to ML/AI initiatives.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Data Quality: The Missing Link in Your Cloud Data Migration

phData: Data Engineering

This blog was co-written with our partners at Anomalo. Congratulations—at last, you’ve finished your cloud data migration and it feels as if you just bought a brand new car! You can go from 0 to 60 in how many seconds? Hopefully, your cutting-edge cloud data warehouse comes with the latest and greatest safety features, too. Just like a car, the upgrade is great, but you risk accelerating too much and causing new problems you have to be ready to handle.

Cloud 52