Analytics Vidhya
JULY 26, 2020
Overview Get to know the essential data visualization tips and techniques to improve your data stories Understand the effects of these data visualization tips. The post 8 Data Visualization Tips to Improve Data Stories appeared first on Analytics Vidhya.
Dataconomy
JULY 16, 2020
Being a data scientist is hard. In addition to the combination of advanced mathematics and coding skills required to do the job, it’s a newer role for many organizations, so data scientists are called upon to navigate corporate landscapes, source the right IT resources, and establish new workflows across departments. The post 9 Best Practices Every Data Science Leader Should Follow appeared first on Dataconomy.
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Eugene Yan
JULY 22, 2020
I couldn't find any guides on serving HTML with FastAPI, thus I wrote this to plug the hole on the internet.
Smart Data Collective
JULY 26, 2020
Employee engagement is one of the most important metrics for the success of an organization, but it’s an elusive figure. According to one recent Gallup poll , a meager 15 percent of employees define themselves as “engaged” with their work. But what does that really mean? And how can you measure or improve employee engagement in your organization? What Is Employee Engagement?
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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?
Kaggle
JULY 29, 2020
With sports (and everything else) cancelled, this data scientist decided to take on COVID-19 | A Winner’s Interview with David Mezzetti When his hobbies went on hiatus, Kaggler David Mezzetti made fighting COVID-19 his mission. Photo by Clay Banks on Unsplash Let’s learn about David! [link] David Mezzetti is the founder of NeuML, a data analytics and machine learning company that develops innovative products backed by machine learning.
Alation
JULY 23, 2020
The post Data Governance: Stay Non-Invasive in Your Approach appeared first on Alation.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
JULY 16, 2020
David Kuntz, Head of Data Science at Degreed, discusses how to find and form a close-knit, full-stack data science team in weeks. We’ve all heard about data science unicorns – people with an almost mythical set of skills that can bring real clout and power into your organisation. But searching. The post How to form a close-knit data science team in weeks appeared first on Dataconomy.
Eugene Yan
JULY 18, 2020
Ever revisit a project & replicate the results the first time round? Me neither. Thus I adopted these habits.
Smart Data Collective
JULY 26, 2020
Data pipelines have been crucial for brands in a number of ways. In March, Hubspot talked about the shift towards incorporating big data into marketing pipelines in B2B campaigns. “A modern B2B sales pipeline is a treasure trove of data to model and improve, providing insights that are critical to performance,” writes Hubspot author Dan Tyre. However, it is important to use the right data pipelines to leverage these benefits.
Kaggle
JULY 23, 2020
How one Kaggler took top marks across multiple Covid-related challenges. Photo by Markus Spiske on Unsplash Today we interview Daniel, whose notebooks earned him top marks in Kaggle’s CORD-19 challenges. Kaggle hosted multiple challenges that worked with the Kaggle CORD-19 dataset, and Daniel won 1st place three times, including by a huge margin in the TREC-COVID challenge.
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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.
Twilio Segment
JULY 31, 2020
In this recipe, you’ll learn how to identify the moment your users receive maximum value from your product. That’s the best time to prompt them to refer colleagues and friends to your product.
Analytics Vidhya
JULY 22, 2020
Overview Get an overview of PyTorch and TensorFlow Learn to build a Convolutional Neural Network (CNN) model in PyTorch to solve an Image Classification. The post How to Train an Image Classification Model in PyTorch and TensorFlow appeared first on Analytics Vidhya.
Dataconomy
JULY 9, 2020
Researchers develop cryptographic scheme that completely hides your personal information from third parties when using single sign-on systems. Single sign-on systems (SSOs) allow us to login to multiple websites and applications using a single username and password combination. But these are third party systems usually handled by Big Tech companies.
Eugene Yan
JULY 10, 2020
I wanted to add my recent writing to my GitHub Profile README but was too lazy to do manual updates.
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
JULY 27, 2020
. It is the 21 st century, and technology has experienced radical changes making it more seamless to perform tasks. The massive advancement in technology is increasing the rate of real time monitoring, data collection, and data measurement. The changes in technology enable the massive integration of data into smart home technology and the existing environment site.
learn data science
JULY 16, 2020
Explains how to reduce the file size of your GeoJSON file using a tool called “mapshaper”. Problem If you use large size GeoJSON files, the map tends to be slow and it may even hang in the worst case. Typically, the map rendering becomes slower if the file size exceeds 20–30M (depending on how the GeoJSON is constructed though). This is the same story when you use GeoJSON map in Exploratory , too.
Depends on the Definition
JULY 6, 2020
This time, I’m going to talk about how to approach general NLP problems. But we’re not going to look at the standard tips which are tosed around on the internet, for example on platforms like kaggle.
Analytics Vidhya
JULY 5, 2020
Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, the formula for. The post Statistics for Data Science: What is Skewness and Why is it Important? 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
JULY 7, 2020
Assistant Volunteer, a project of Nable Solutions, was born during the HackCoronaGreece online hackathon to better coordinate the efforts of volunteers. Today, Assistant Volunteer’s platform is part of the Greek Ministry of Health’s official response to eradicating the pandemic. This year, online hackathons have proven to be a great source. The post How can governments harness the power of volunteering appeared first on Dataconomy.
Eugene Yan
JULY 4, 2020
Part II of the previous write-up, this time on applications and frameworks of Spark in production
Smart Data Collective
JULY 31, 2020
AWS has become a surprisingly popular platform. It has over a million customers and generates over $104 billion a year. This can be a great skill to learn for anyone in IT that wants greater wages and job security. Before even considering an IT career , you must understand yourself. What are your ambitions for the new year? Are you just going to sit there and wait for things to happen when you can make a major impact on your career with the right training?
learn data science
JULY 10, 2020
If then do A else do B — ifelse function in R & Exploratory Most likely you have used or heard about ‘ifelse’ function before. It’s everywhere such as Excel, database, etc. And of course, it is in R, which means you can use it in Exploratory as well. I’m going to talk about how you can use the ifelse function in Exploratory. Basics The ifelse function takes 3 arguments. ifelse(a condition, a return value when the condition is TRUE, a return value when the condition is FALSE) Example 1 — Grea
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.
Explosion
JULY 27, 2020
Using the Prodigy annotation tool, we created a user interface and a coder manual for two annotators to spot-check 741 stained images randomly sampled from our dataset.
Analytics Vidhya
JULY 1, 2020
Overview Open source data science projects add a lot of value to your resume and help you stand out in an interview Here are. The post 7 Open Source Data Science Projects you Should Add to your Resume appeared first on Analytics Vidhya.
Dataconomy
JULY 2, 2020
In the cybersecurity war between organizations and adversaries, we too often convince ourselves that we are pitting “technology versus technology.” But, actually, the battle is about people versus people. Technology alone cannot hunt, identify, assess and defeat attacks, because it lacks human-supplied authentic intelligence. With this intelligence, people and machines.
Eugene Yan
JULY 25, 2020
Why OMSCS? How can I get accepted? How much time needed? Did it help your career? And more.
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
JULY 24, 2020
With this recipe, you’ll learn how to revive users who’ve become inactive. Reviving churned users is often the highest-leverage growth strategy your team can implement.
learn data science
JULY 9, 2020
Photo by Austin Distel on Unsplash Calculating Customer Lifetime Value (CLV) in 3 Ways — Guts, Churn Rates, Survival Rates The survival Algorithm (Kaplan-Meyer) can give you a better estimate for CLV. Understanding the Customer Lifetime Value is critical for subscription businesses including SaaS (Software-as-a-Service). Unlike, transactional businesses, the subscription business accumulate revenues from the same customer over time.
Alation
JULY 13, 2020
The post Five Questions on the Alation Partner Network with Kiran Narsu, VP of Business Development, Alation appeared first on Alation.
Analytics Vidhya
JULY 12, 2020
Overview Pandas provide tools and techniques to make data analysis easier in Python We’ll discuss tips and tricks that will help you become a. The post 5 Striking Pandas Tips and Tricks for Analysts and Data Scientists 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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