Sat.Feb 29, 2020 - Fri.Mar 06, 2020

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6 Open Source Data Science Projects for Boosting your Resume

Analytics Vidhya

Overview Open-source data science projects are a great way to boost your resume Try your hand at these 6 open source projects ranging from. The post 6 Open Source Data Science Projects for Boosting your Resume appeared first on Analytics Vidhya.

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Analyzing GDPR Fines – who are largest violators?

KDnuggets

Fines from the GDPR have been rolling in since its inception in 2018. This article investigates who are the largest penalty recipients by country, the amounts, and private individuals.

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Why Data Scientists Must Be Able to Explain Their Algorithms

Dataconomy

The models you create have real-world applications that affect how your colleagues do their jobs. That means they need to understand what you’ve created, how it works, and what its limitations are. They can’t do any of these things if it’s all one big mystery they don’t understand. “I’m afraid. The post Why Data Scientists Must Be Able to Explain Their Algorithms appeared first on Dataconomy.

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Building Your First Model with Azure Machine Learning

Data Science 101

The first course in the Mastering Azure Machine Learning series has launched. It focuses on building your first model with Azure Machine Learning. This is a great place to start if you are brand new to Azure Machine Learning. In particular, you will learn the following. Create an Azure Machine Learning workspace Create a compute instance for machine learning Use Jupyter Notebooks within that compute Monitor the progress of machine learning experiments you are building.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot

Analytics Vidhya

Introduction “Visualization gives you answers to questions you didn’t know you had.” – Ben Shneiderman My day-to-day work as a Data Scientist requires a. The post 6 Essential Data Visualization Python Libraries – Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGplot appeared first on Analytics Vidhya.

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Top February Stories: The Death of Data Scientists – will AutoML replace them?

KDnuggets

Also: Learning from 3 big Data Science career mistakes; Leaders, Changes, and Trends in Gartner 2020 MQ Data Science and Machine Learning Platforms; Why Did I Reject a Data Scientist Job; Free Mathematics Courses for Data Science & Machine Learning.

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Cloud Data Science 9

Data Science 101

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. News. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. They are promoting it as the Silicon Slopes region, so that is good news if you or your customers are near that location.

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TensorFlow Serving: Deploying Deep Learning Models Just Got Easier!

Analytics Vidhya

Learn about deploying deep learning models using TensorFlow Serving How to handle post-deployment challenges like swapping between different versions of models using TensorFlow Serving. The post TensorFlow Serving: Deploying Deep Learning Models Just Got Easier! appeared first on Analytics Vidhya.

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Outcome-Based Claims Assignment: The “New Grail” of Insurance

DataRobot

If you’re a commercial insurer, how do you evaluate your claims personnel? How do those evaluations impact your decisions on how to deploy individual adjusters?

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Alation Achieves ISO 27001 Certification

Alation

Alation helps enterprises foster self-service analytics, drive digital transformation and create data culture. We do that by making it easy to find, understand and ultimately, trust data. That trust must also extend to the data catalog itself. To ensure that the Alation Data Catalog provides a secure and reliable solution for our customers, our security […].

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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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Exploring a Decentralized Data Mesh Pattern for Modern Analytics

DataRobot Blog

by Jen Underwood. Like many other industries today, life sciences face a data deluge. Astronomical amounts of healthcare data double every 73 days. Extreme levels of data proliferation overwhelm top research organizations, existing. Read More.

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Learn How to use the Transform Function in Pandas (with Python code)

Analytics Vidhya

Introduction The Transform function in Pandas (Python) can be slightly difficult to understand, especially if you’re coming from an Excel background. Honestly, most data. The post Learn How to use the Transform Function in Pandas (with Python code) appeared first on Analytics Vidhya.

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Webinar Q&A: Prep Data Faster for AI and ML - A DataRobot Case Study

DataRobot

In a recent webinar, Paxata's Senior Product Marketing Manager Mike White and I demonstrated Paxata's unique ability to eliminate the most common bottleneck in AI and machine learning.

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The tech and people of AI

Data Science 101

The tech and people of AI are presented nicely in this infographic. There is tons of information in here, so take your time. Plus, leave a comment with any details you find surprising or interesting. You can also find more infographics at Visualistan. Also, Data Science 101 has posted many other data-specific infographics. The post The tech and people of AI appeared first on Data Science 101.

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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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10 Powerful Talks by Women in Data Science [Women’s Day Special!]

Analytics Vidhya

Happy Women’s Day to all the wonderful, curious, and passionate women out there! Analytics Vidhya is celebrating the power of women in data science. The post 10 Powerful Talks by Women in Data Science [Women’s Day Special!] appeared first on Analytics Vidhya.

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One-Hot Encoding vs. Label Encoding using Scikit-Learn

Analytics Vidhya

What is One-Hot Encoding? When should you use One-Hot Encoding over Label Encoding? These are typical data science interview questions every aspiring data scientist. The post One-Hot Encoding vs. Label Encoding using Scikit-Learn appeared first on Analytics Vidhya.

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DataRobot Named One Of CB Insights’ 100 Most Innovative AI Startups

DataRobot

For the fourth year in a row, we’ve been named one of the world’s most innovative artificial intelligence startups by CB Insights for our pioneering approach to democratizing enterprise AI. CB Insights’ AI 100 list recognizes the most promising and impressive private AI companies worldwide.