Analytics Vidhya
MAY 24, 2020
Overview matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to. The post 10 matplotlib Tricks to Master Data Visualization in Python appeared first on Analytics Vidhya.
Dataconomy
MAY 18, 2020
As the world contends with the Covid-19 pandemic and its profound impact across regions and industries, companies are not only looking for ways to safeguard their people and customers but also their business’ long-term future – read how data & analytics can help your business deal with the crisis. The. The post How Data & Analytics Can Recover Businesses After the Pandemic appeared first on Dataconomy.
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Eugene Yan
MAY 17, 2020
I thought deploying machine learning was hard. Then I had to maintain multiple systems in prod.
DeepMind
MAY 17, 2020
Vision loss among the elderly is a major healthcare issue: about one in three people have some vision-reducing disease by the age of 65. Age-related macular degeneration (AMD) is the most common cause of blindness in the developed world. In Europe, approximately 25% of those 60 and older have AMD. The ‘dry’ form is relatively common among people over 65, and usually causes only mild sight loss.
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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?
Alation
MAY 5, 2020
The post Introducing the COVID-19 Data Catalog appeared first on Alation.
Depends on the Definition
MAY 19, 2020
Today, I’m going to talk about topic models in NLP. Specifically we will see how the Latent Dirichlet Allocation model works and we will implement it from scratch in numpy. What is a topic model? Assume we are given a large collections of documents.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
MAY 14, 2020
Many e-commerce companies are looking to leverage artificial intelligence (AI) to reach more customers, improve their products and boost their sales. The trend can already be seen in e-commerce websites that feature recommendation engines, chatbots and smart assistants. These types of AI technology adoptions are likely to continue. According to Gartner, 37% of.
Eugene Yan
MAY 24, 2020
Can maintaining machine learning in production be easier? I go through some practical tips.
DeepMind
MAY 11, 2020
In this paper we focus on a setting in which goal tasks are defined via simple sparse rewards, and exploration is facilitated via agent-internal auxiliary tasks. We introduce the idea of simple sensor intentions (SSIs) as a generic way to define auxiliary tasks. SSIs reduce the amount of prior knowledge that is required to define suitable rewards. They can further be computed directly from raw sensor streams and thus do not require expensive and possibly brittle state estimation on real systems.
Data Science 101
MAY 14, 2020
Don’t ever run out of content ideas again. Melanie is the author of the book, “The Content Fuel Framework” She is an expert storyteller and content marketer. Melanie’s book, The Content Fuel Framework: [link] Melanie’s bio on her company page: [link]. The post Creating Unlimited Content Ideas with Melanie Deziel appeared first on Ryan Swanstrom.
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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.
Victor Zhou
MAY 11, 2020
Looking for an introduction to Cross-Site Request Forgery (CSRF)? This post will be a little different - instead of telling you what it is, I’m going to show you. Ready? Setting the Scene You’re a responsible, hardworking person. You’ve saved up your money over the years at Definitely Secure Bank®. The Definitely Secure Bank logo. You love Definitely Secure Bank - they’ve always been good to you, plus they make it easy to transfer money via their website.
Analytics Vidhya
MAY 18, 2020
Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya.
Dataconomy
MAY 28, 2020
The ecommerce industry has greatly benefited from the explosion of customer-centric data analytics. Industry leaders have been able to leverage it to great effect, fueling their various marketing, advertising and website content personalization efforts, yielding game-changing sales conversion lift. Contemporary online shopping companies have even been rampantly gathering, tracking, and even buying.
Eugene Yan
MAY 30, 2020
Crocker's Law, cognitive dissonance, and how to receive (uncomfortable) feedback better.
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.
DeepMind
MAY 6, 2020
We apply a generative segmental model of task structure, guided by narration, to action segmentation in video. We focus on unsupervised and weakly-supervised settings where no action labels are known during training. Despite its simplicity, our model performs competitively with previous work on a dataset of naturalistic instructional videos.
Explosion
MAY 6, 2020
In this video, we show you how to create a custom Entity Linking model in spaCy to disambiguate different mentions of the person “Emerson” to unique identifiers in a knowledge base.
Alation
MAY 21, 2020
The post A Data Architect’s Guide to the Data Catalog appeared first on Alation.
Analytics Vidhya
MAY 16, 2020
Overview Optical Character Recognition (OCR) is a widely used system in the computer vision space Learn how to build your own OCR for a. The post Build your own Optical Character Recognition (OCR) System using Google’s Tesseract and OpenCV appeared first on Analytics Vidhya.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Dataconomy
MAY 4, 2020
Technology companies are under huge pressure to deliver faster and better experiences, so it’s not surprising that focus is centered on the front end of systems. With slick, friction-free services vital to outshine competitors in an ever-evolving market, backstage mechanics are often seen as a lower priority. The trouble is. The post Why the back-end of business is behind digital transformation appeared first on Dataconomy.
Eugene Yan
MAY 2, 2020
What I Learnt about evaluating ideas from first-hand participation in a hackathon.
DeepMind
MAY 31, 2020
Acme is a framework for building readable, efficient, research-oriented RL algorithms. At its core Acme is designed to enable simple descriptions of RL agents that can be run at various scales of execution — including distributed agents. By releasing Acme, our aim is to make the results of various RL algorithms developed in academia and industrial labs easier to reproduce and extend for the machine learning community at large.
Data Science 101
MAY 8, 2020
The post How Large Companies see AI – An interview with Russ Rands appeared first on Ryan Swanstrom.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Alation
MAY 13, 2020
The post Alation and BigID: Driving Privacy-Aware Data Culture appeared first on Alation.
Analytics Vidhya
MAY 17, 2020
Overview Learn how to build your own Social Distancing Tool using your Deep Learning and Computer Vision skills Understand the State-of-the-Art architectures (SOTA) for. The post Your Social Distancing Detection Tool: How to Build One using your Deep Learning Skills appeared first on Analytics Vidhya.
Dataconomy
MAY 28, 2020
Four years ago, data privacy was a known but little talked-about concept. The GDPR radically changed that. Since the European law was passed, we’ve seen privacy protection catapulted to the top of the business agenda and the bar for responsible data use raised by one new global directive after another. The post Making privacy by design the business default appeared first on Dataconomy.
Eugene Yan
MAY 8, 2020
An expansion of my Twitter thread that went viral.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Twilio Segment
MAY 17, 2020
Learn how to use Segment analyze and optimize your funnel and boost your conversion rate by 2-3x.
DataCentric podcast
MAY 27, 2020
It's a strange time for infrastructure companies as we start seeing the first full-quarter earnings in this COVID-19 world. Hewlett Packard Enterprise & Lenovo are first up, and we're learning from them how to think about this market. At the same time, AMD's EPYC server CPU continues to gain traction, with new wins in HCI and Deep Learning.
Explosion
MAY 23, 2020
Update to newer version of transformers. This library is being rewritten for spaCy v3, in order to improve its flexibility and performance and to make it easier to stay up to date with new transfor.
Analytics Vidhya
MAY 10, 2020
Introduction “Business Analytics” and “Data Science” – these two terms are used interchangeably wherever I look. But there’s one indisputable fact – both industries. The post Business Analytics vs. Data Science – Which Path Should you Choose? appeared first on Analytics Vidhya.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
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