Analytics Vidhya
NOVEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction We all have been hearing about the buzz word – “Data. The post Nervous about your first data science project! Here are 6 easy steps to get started! appeared first on Analytics Vidhya.
Dataconomy
NOVEMBER 13, 2020
AI is now prevalent in major companies and services that we use every day. From product recommendations to personalized ads, from voice assistants to image recognition, AI helps us in hundreds of ways. That’s fine if you’re a digital-first company, born on the internet and versed in data science, machine. The post How to put AI to work in your company appeared first on Dataconomy.
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Smart Data Collective
NOVEMBER 1, 2020
We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Hence, it comes as no surprise that mundane business tasks are being completely taken over by tech advancements. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun.
Eugene Yan
NOVEMBER 28, 2020
How he switched from engineering to data science, what "senior" means, and how writing helps.
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.
Tableau
NOVEMBER 10, 2020
Ann Ho. Product Management Director, Tableau. Tanna Solberg. November 10, 2020 - 4:58pm. July 1, 2021. Take a look at what you have in your music library. You’ve got songs from different albums, artists, and even genres. You probably have music for different moods, activities, or times of day. Just like with songs, the data you use isn’t always contained in the same project on your Tableau site.
Alation
NOVEMBER 24, 2020
The post LGBTQ History Month: A Look Back and the Importance of Community at Alation appeared first on Alation.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
NOVEMBER 14, 2020
Data comes in many shapes and forms, but two of its core structures are stacks and queues. TechTarget’s definition states the following; “In programming, a stack is a data area or buffer used for storing requests that need to be handled.” And what’s inside that data stack? It’s not just. The post How to choose the right data stack for your business appeared first on Dataconomy.
Smart Data Collective
NOVEMBER 18, 2020
The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.
Eugene Yan
NOVEMBER 23, 2020
How did you set up your site and what's an easy way to replicate it?
Tableau
NOVEMBER 16, 2020
Emily Chen. Product Marketing Specialist, Tableau. Spencer Czapiewski. November 17, 2020 - 12:48am. December 15, 2020. The newest release of Tableau is here! Tableau 2020.4 brings practical enhancements to make analytics in your organization more seamless and scalable. Upgrade to take advantage of these new innovations and check out our playlist of Tableau Conference-ish highlights to hear more about what we’ve got coming next year. .
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.
Hacker News
NOVEMBER 1, 2020
Last Friday the U.S. Department of Energy issued a final rule effective November 30, 2020, that will once again permit American households to purchase dishwashers that actually clean dishes, as they had done for most of the machine’s 130 year history. The October 30 final rule does not force anyone to change their currently installed dishwasher. And new machines will not be available for this year’s Thanksgiving meal, as future rulemaking is contemplated and manufacturers must produce the new cl
Analytics Vidhya
NOVEMBER 26, 2020
Introduction In the last article, I shared a framework to help you answer the question, “Should I become a data scientist (or business analyst)?“ The post How To Have a Career in Data Science (Business Analytics)? appeared first on Analytics Vidhya.
Dataconomy
NOVEMBER 16, 2020
So you want to be a data scientist or get a few steps up the ladder in AI. But where do you start? Digital technology is the life-force of the modern world, and data science, AI, machine learning, and other related skills are not only necessary to get ahead; they’re. The post Empathy, creativity, and accelerated growth: the surprising results of a technology MBA program appeared first on Dataconomy.
Smart Data Collective
NOVEMBER 12, 2020
In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. You can conduct a Google query and you’ll quickly find thousands of helpful webpages, YouTube videos, and blogs dealing with the issue. Big data has made it possible to store information on virtually everything. Unfortunately, the growing reliance on big data hasn’t come without a cost.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Eugene Yan
NOVEMBER 21, 2020
Data cleaning, transfer learning, overfitting, ensembling, and more.
DeepMind
NOVEMBER 29, 2020
Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein-folding problem”, and has stood as a grand challenge in biology for the past 50 years.
Shreyansh Singh
NOVEMBER 29, 2020
The goal of this blog post is to make an API to get predictions from a pre-trained ML model and how we can do that in a fast manner using FastAPI and also be able to ship it using Docker. This method does not scale well as it does not support caching and cannot handle much load. However, this can be a good instructional post on how you can deploy those models and use them for small low-scale projects, say a hackathon.
Analytics Vidhya
NOVEMBER 18, 2020
Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources) appeared first on Analytics Vidhya.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
DataCentric podcast
NOVEMBER 25, 2020
You can't escape the Edge, but what does it really mean for IT? This is a world where there are limited standards and no "one true way" to deliver solutions, so IT practitioners look to middleware and common tooling to help mangage the complexity. What's working? What isn't? And is there a turf war brewing between IT and OT teams within the enterprise?
Smart Data Collective
NOVEMBER 5, 2020
Here at Smart Data Collective, we have talked about major changes that machine learning has created in the financial industry. While some changes have gotten a lot of publicity, others have been more subtle. The evolution of smart cards is one of the newest ways that machine learning and AI are impacting the future of finance. The market for smart cards will be worth $21.57 billion within the next three years.
Eugene Yan
NOVEMBER 14, 2020
Interview questions you should ask and how to evolve your job scope.
DeepMind
NOVEMBER 17, 2020
We present our use of Unity, a widely recognised and comprehensive game engine, to create more diverse, complex, virtual simulations. We describe the concepts and components developed to simplify the authoring of these environments, intended for use predominantly in the field of reinforcement learning.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Twilio Segment
NOVEMBER 24, 2020
Live chat gives your customers answers in real-time as they’re browsing. Not all options are created equal, though.
Analytics Vidhya
NOVEMBER 16, 2020
Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.
DataCentric podcast
NOVEMBER 23, 2020
As SuperComputing 2020 wraps up, it's a great time to catch up on everything happening in the HPC world. Nobody knows HPC better than Penguin Computing. In this episode of the DataCentric podcast, hosts Matt and Steve are joined by Penguin Computing's Chief Strategy Officer Matt Jacobs, and Penguin's Senior Vice President, Strategic Solutions Group, Kevin Tubbs.
Smart Data Collective
NOVEMBER 13, 2020
Artificial intelligence and data analytics are two of the fasting-growing forms of technology for saving money in the world of business. Most companies achieve this goal by cutting down on labor hours, since labor is one of their biggest expenses. There are certainly downsides to that approach, with job security being high on the list. However, in the world of nonprofits, where so many volunteers work, every job that can be done by a computer means one more set of hands that can be working on so
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Eugene Yan
NOVEMBER 7, 2020
A personal take on their deliverables and skills, and what it means for the industry and your team.
Alation
NOVEMBER 20, 2020
The post To Activate Data Governance, Everybody Must be a Data Steward appeared first on Alation.
Analytics Vidhya
NOVEMBER 21, 2020
Introduction Let’s put on the eyes of Neural Networks and see what the Convolution Neural Networks see. Photo by David Travis on Unsplash Pre-requisites:-. The post Tutorial — How to visualize Feature Maps directly from CNN layers appeared first on Analytics Vidhya.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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