Analytics Vidhya
AUGUST 30, 2020
Overview A demonstration of statistical analytics by Integrating Python within Power BI Share the findings using dashboards and reports Introduction Power BI is. The post Integrating Python in Power BI: Get the best of both worlds appeared first on Analytics Vidhya.
Dataconomy
AUGUST 20, 2020
With the business world in a constant state of flux, flexibility is more important than ever for organisations of every stripe. Data-driven organisations have fared best; those with an enterprise data architecture that allows them to understand change and adapt to the volatility of current markets and supply changes are. The post What is Data Vault modeling and why do we need it?
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Hacker News
AUGUST 4, 2020
Over the last few months, my colleague Unmesh Joshi has been running workshops to teach developers about distributed systems design. In this work he's been delving into many open-source distributed systems and identifying patterns. As he writes them up, he's publishing the patterns on my site. Today he's publishing an initial narrative article that ties the first batch of patterns together, and two of these patterns: Heartbeat and Generation Clock.
Smart Data Collective
AUGUST 30, 2020
Rooted in Greek civilization, law is one of the world’s oldest professions, and for all these years, particularly in America, has been steadfast in its commitment to justice for all, and as a way to change things for the better. American lawyer Clarence Darrow, once said, “Justice has nothing to do with what goes on in a courtroom; Justice is what comes out of a courtroom.”.
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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?
Eugene Yan
AUGUST 8, 2020
Why (and why not) be more end-to-end, how to, and Stitch Fix and Netflix's experience
Alation
AUGUST 20, 2020
The post Alation and Manta: Automating Advanced Data Lineage appeared first on Alation.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
AUGUST 6, 2020
Professional sports lend themselves really well to economic calculations – players, coaches, and agents act similarly to the hypothetical, rational decision-makers in economic models. While this data may seem complex or hard to obtain, it’s actually all readily available online – you just need to know where to look, how. The post Every deal in professional sports is based on data appeared first on Dataconomy.
Christian Haschek
AUGUST 13, 2020
A few days ago my wife got a text message that was obviously a bad phishing attempt !
Smart Data Collective
AUGUST 29, 2020
Since businesses made the shift to remote work at the start of the pandemic, they’ve faced a lot of unexpected questions and circumstances and solved a lot of problems on the fly. It’s been hard, but overall, they’ve done a remarkable job. There’s one area, however, where businesses have largely floundered: remote monitoring. Remote monitoring includes a wide range of functions, from offsite data collection to key tracking tools and even video-based monitoring, and though some of these tools are
Eugene Yan
AUGUST 22, 2020
How not to become an expert beginner and to progress through beginner, intermediate, and so on.
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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
AUGUST 24, 2020
If you’re anything like me, you’ve been putting off lazy loading images on your website(s) for a long time. You’ve always known it was possible (recommended, even), but over time you’ve gotten good at coming up with “reasons” not to do it: How can this be a performance optimization if I’m adding code There are too many lazy loading libraries, I’d probably make the wrong choice anyways In this day and age who still cares about bandwidth… not me, and certainly not my users I’ll do it tomorrow You’
Analytics Vidhya
AUGUST 29, 2020
Introduction: – Machine learning is fueling today’s technological marvels such as driver-less cars, space flight, image, and speech recognition. However, one Data Science professional. The post Web Scraping using Selenium with Python! appeared first on Analytics Vidhya.
Dataconomy
AUGUST 4, 2020
BI can help you start making sense of your data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them sounds impossible. So, why. The post AI is Making BI Obsolete, and Machine Learning is Leading the Way appeared first on Dataconomy.
learn data science
AUGUST 17, 2020
Photo by Dmitry Ratushny on Unsplash Recently, I encountered a situation where I wanted to label a language for each of the blog posts I have published in the past. As you might have known, I sometimes publish my blog posts in English and sometimes in Japanese. Instead of manually labeling each post as either English or Japanese, I wanted to do it automatically.
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.
Smart Data Collective
AUGUST 4, 2020
Digital marketing is becoming more important during the pandemic. One study in the UK found that 65% of consumers increased spending during the crisis. Companies are investing more in digital marketing to respond to changing consumer behavior. Unfortunately, they have also found it difficult to train employees. Fortunately, new data analytics advances can help.
Eugene Yan
AUGUST 1, 2020
Surprising lessons I picked up from the best books, essays, and videos on writing non-fiction.
Victor Zhou
AUGUST 8, 2020
Keras is a simple-to-use but powerful deep learning library for Python. This 3-post series, written for beginners, provides a simple way for anyone to get started solving real machine learning problems. We’ll start with an introduction to classic Neural Networks for complete beginners before delving into two popular variants: Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs).
Analytics Vidhya
AUGUST 16, 2020
Introduction We are aware of the massive amounts of data being produced each day. This humungous data has lots of insights and hidden trends. The post Analysing Streaming Tweets with Python and PostgreSQL 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
AUGUST 20, 2020
It looks like the digital form of communication is here to stay for a while. Still, there are lots of opportunities for Data Scientists and data-driven professionals to meet, collaborate, network, and think about their next career move. Here is the list of online events that are worth attending to. The post Online events for Data Scientists that you can’t miss this autumn appeared first on Dataconomy.
The Data Governance Institute
AUGUST 7, 2020
This type of program typically comes into existence because of issues around the quality, integrity, or usability of data. It may be sponsored by a Data Quality group or a business team that needs better quality data. (For example: Data Acquisition or Mergers & Acquisitions.) These types of programs almost always involve Data Quality software, which may be used by business staff, technical staff, Data Stewards, Data Governance teams, or others.
Smart Data Collective
AUGUST 4, 2020
The big data market is exploding. According to Markets and Markets, it will be worth $229 billion in the next five years. Despite the rapid evolution of big data, many small businesses are overlooking its benefits. You should not make this mistake. You should consider the vast benefits of big data and invest in it accordingly. Why Small Businesses Overlook Big Data (And Should Start Embracing it).
Eugene Yan
AUGUST 4, 2020
Updating our FastAPI app to let users select options and download results.
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.
Victor Zhou
AUGUST 3, 2020
Keras is a simple-to-use but powerful deep learning library for Python. In this post, we’ll build a simple Recurrent Neural Network (RNN) and train it to solve a real problem with Keras. This post is intended for complete beginners to Keras but does assume a basic background knowledge of RNNs. My introduction to Recurrent Neural Networks covers everything you need to know (and more) for this post - read that first if necessary.
Analytics Vidhya
AUGUST 12, 2020
Overview The path to spread data science has been blazed by people determined to make the world a better place Here is a list. The post 10 Powerful YouTube Channels for Data Science Aspirants! appeared first on Analytics Vidhya.
Dataconomy
AUGUST 4, 2020
To guide your company towards success, leaders need a clear idea of what’s around the corner. It’s not enough to analyze what happened in the past. You need to know what the future holds. And that means data science-backed predictive models. More data science doesn’t always mean more data scientists, though. The post FREE GUIDE: Do You Need a Data Science Team, Platform, or Service?
The Data Governance Institute
AUGUST 7, 2020
This type of program typically comes into existence because of concerns about Data Information Security controls, or compliance. Compliance, in this context, may refer to regulatory compliance, contractual compliance, or compliance with internal requirements. This focus is often seen combined with a focus on policy enforcement. It’s also seen combined with a focus on Data Quality.
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.
Smart Data Collective
AUGUST 30, 2020
It’s easy to draw correlations between big data and certain areas of the business world. For example, it makes sense that a tech company would leverage big data, or that a software company would use it to develop a cutting edge SaaS offering. But in real estate, does big data really have a place at the table? Those inside the industry would say yes – and resoundingly so!
Eugene Yan
AUGUST 15, 2020
Examining the broad strokes of NLP progress and comparing between models
Twilio Segment
AUGUST 3, 2020
There are now 8,000 martech tools available. Which ones should you choose? Our new guide will help you decide which ones are right for your business.
Analytics Vidhya
AUGUST 28, 2020
Overview Analytics and Business Intelligence provide comprehensible view of the company and derive actionable insights. We’ll discuss 6 top business intelligence tools that you. The post 6 Top Tools for Analytics and Business Intelligence in 2020 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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