September, 2020

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What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services

Analytics Vidhya

Overview Amazon Web Services (AWS) is the leading cloud platform for deploying machine learning solutions Every data science professional should learn how AWS works. The post What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services appeared first on Analytics Vidhya.

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Contact Trace Me If You Can: Muzzle Your Data To Ensure Compliance

Dataconomy

As the number of Covid-19 cases continues to rise around the world, many businesses are eager to get back to work and try to make up for the lost time. With the first signs of the pandemic subduing, we’ve seen organizations rush their staff back to the office, deploying different. The post Contact Trace Me If You Can: Muzzle Your Data To Ensure Compliance appeared first on Dataconomy.

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How Leading Businesses Organize and Make Sense of Data

Smart Data Collective

Two or three decades ago, gathering data was the biggest challenge businesses faced. Leaders craved more information and access. Today, these same companies are drowning in data. The challenge of today is organizing and making sense of the data. 4 Tips to Help You Make Sense of Your Data. With so much emphasis on collecting and accessing data, it’s easy to become so paralyzed by information that you fail to do anything with it.

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Routines and Tools to Optimize My Day (Guest Post by Susan Shu)

Eugene Yan

For years I've refined my routines and found tools to manage my time. Here I share it with readers.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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I trained a model. What is next?

Kaggle

Here at Kaggle we’re excited to showcase the work of our Grandmasters. This post was written by Vladimir Iglovikov, and is filled with advice that he wishes someone had shared when he was active on Kaggle. The original post can be found on Vlad’s Ternaus Blog. Introduction I participated in machine learning (ML) competitions at Kaggle and other platforms to build machine learning muscles.

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Alation + Looker: Trusted, Modern Analytics — Perfect for the Cloud

Alation

The post Alation + Looker: Trusted, Modern Analytics — Perfect for the Cloud appeared first on Alation.

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A Guide to Your Future Data Scientist Salary

Dataconomy

Whether you are experienced or thinking about getting into Data science, in this guide you will find out: Which cities top the chart when it comes to the highest data scientist salary available? Do Data Scientists like working with startups? Do they want to stick to a job for more. The post A Guide to Your Future Data Scientist Salary appeared first on Dataconomy.

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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. These terms are fundamentally tied predominantly to matters involving digital transformation as well as growth in companies. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved.

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RecSys 2020: Takeaways and Notable Papers

Eugene Yan

Emphasis on bias, more sequential models & bandits, robust offline evaluation, and recsys in the wild.

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Inside the HCI Market with Hewlett Packard Enterprise

DataCentric podcast

What is it about HCI that enterprise IT likes so much? On this episode David Wang, HPE's director of storage marketing, drops in to talk to hosts Matt Kimball and Steve McDowell about why HCI is compelling, and how the different flavors of HCI address a range of needs in the enterprise, whether on the edge or in the core. HPE is in an interesting place with HCI.

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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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The missing guide on data preparation for language modeling

Depends on the Definition

Language models gained popularity in NLP in the recent years. Sometimes you might have enough data and want to train a language model like BERT or RoBERTa from scratch. While there are many tutorials about tokenization and on how to train the model, there is not much information about how to load the data into the model. This guide aims to close this gap.

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How to create your AI Virtual Assistant using Python

Analytics Vidhya

Introduction A virtual assistant, also called an AI assistant or digital assistant, is an application program that understands natural language voice commands and completes. The post How to create your AI Virtual Assistant using Python appeared first on Analytics Vidhya.

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Three Trends in Data Science Jobs You Should Know

Dataconomy

If you are a Data Scientist wondering what companies could have the most career opportunities or an employer looking to hire the best data science talent but aren’t sure what titles to use in your job listings — a recent report using Diffbot’s Knowledge Graph could hold some answers for. The post Three Trends in Data Science Jobs You Should Know appeared first on Dataconomy.

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How Cryptocurrency Is Benefiting From Big Data Analytics

Smart Data Collective

The concept of cryptocurrency is still foreign to so many in the United States and around the world. There is a lot more mass appeal of cryptocurrencies like Bitcoin, Litecoin, and others. Generally speaking, though, they are still mysterious in the eyes of the common individual. In the cryptocurrency market, we are starting to see the emergency and convergence of crypto and big data analytics.

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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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Datacast Podcast - Effective Data Science with Eugene Yan

Eugene Yan

My chat with James Le about my experience, leadership, agile, ML in production, writing, and more.

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Driving Digital Transformation with Tableau Blueprint

Tableau

Jennifer Clark. Senior Solution Architect, Tableau. Tanna Solberg. September 11, 2020 - 6:35pm. October 7, 2022. With data a known keystone of digital transformation, modernizing your analytics is a vital move in our digital age. But to successfully transition from traditional to modern BI, leaders like you must hone an essential skill: managing organizational change.

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Supercomputing Invades the Enterprise

DataCentric podcast

Supercomputing has left the lab and is fast becoming a mainstream enterprise IT capability, whether we're talking about a dedicated compute cluster, or HPC-as-a-service. These capabilities are driving everything from COVID-19 modelling to video-analytics at the retail edge to deliver "frictionless retail" There's nobody better to talk to us about this market than Penguin Computing.

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Busted! 11 Data Science Myths You Should Avoid at All Costs

Analytics Vidhya

In this article, we bust 11 common myths people have about data science. We have divided the myths into career, tools and role related categories. The post Busted! 11 Data Science Myths You Should Avoid at All Costs 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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What is CDO 4.0? — A CDO’s Perspective

Alation

The post What is CDO 4.0? — A CDO’s Perspective appeared first on Alation.

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Cloud Servers Are Fundamentally Rewriting The Rules Of Data Storage

Smart Data Collective

The market for cloud computing is growing at an insane pace. One analysis shows that it is likely to reach $761 billion by 2027. You might be surprised to know how much of a role it will play in the future of modern business. If it hadn’t been for massive advances in modern technology, the world would have been a completely different platform for modern businesses.

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How to Test Machine Learning Code and Systems

Eugene Yan

Checking for correct implementation, expected learned behaviour, and satisfactory performance.

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Driving Digital Transformation with Tableau Blueprint

Tableau

Jennifer Clark. Senior Solution Architect, Tableau. Tanna Solberg. September 11, 2020 - 6:35pm. October 7, 2022. With data a known keystone of digital transformation, modernizing your analytics is a vital move in our digital age. But to successfully transition from traditional to modern BI, leaders like you must hone an essential skill: managing organizational change.

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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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Traffic prediction with advanced Graph Neural Networks

DeepMind

By partnering with Google, DeepMind is able to bring the benefits of AI to billions of people all over the world. From reuniting a speech-impaired user with his original voice, to helping users discover personalised apps, we can apply breakthrough research to immediate real-world problems at a Google scale. Today we’re delighted to share the results of our latest partnership, delivering a truly global impact for the more than one billion people that use Google Maps.

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Hypothesis Generation for Data Science Projects – A Critical Problem Solving Step

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The first step towards problem-solving in data science projects isn’t about. The post Hypothesis Generation for Data Science Projects – A Critical Problem Solving Step appeared first on Analytics Vidhya.

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Going Live to Grow Your Business – An Interview with Lindy Chapman

Data Science 101

The post Going Live to Grow Your Business – An Interview with Lindy Chapman appeared first on Ryan Swanstrom.

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7 Ways To Prevent Data Breaches With Technology And Training

Smart Data Collective

There is a common misconception prevalent amongst businesses that cyberattacks , and data breaches only target large scale enterprises. This is not true as almost half of the cyberattacks target small to midsize businesses. This misconception prevents businesses from taking data breaches and cybersecurity attacks seriously. They not only ignore it but also do nothing to protect themselves from it.

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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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CareerFair - Day-to-day as an Applied Scientist at Amazon

Eugene Yan

What's an average day like? What's great about the role? How's working in Amazon?

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Driving Digital Transformation with Tableau Blueprint

Tableau

Jennifer Clark. Senior Solution Architect, Tableau. Tanna Solberg. September 11, 2020 - 6:35pm. October 7, 2022. With data a known keystone of digital transformation, modernizing your analytics is a vital move in our digital age. But to successfully transition from traditional to modern BI, leaders like you must hone an essential skill: managing organizational change.

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Github-Based Kubernetes Config Management: Our Guide

Twilio Segment

Today, we're releasing kubeapply, a lightweight tool for git-based management of Kubernetes configs. Here's why.

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All Aboard the Pandas Express – How to Speed up Data Preprocessing using Pandas in Python

Analytics Vidhya

Overview Pandas is the Swiss Army Knife of data preprocessing tasks in Python but can be cumbersome when dealing with large amounts of data. The post All Aboard the Pandas Express – How to Speed up Data Preprocessing using Pandas in Python 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.