Analytics Vidhya
APRIL 2, 2020
Introduction to Feature Scaling I was recently working with a dataset that had multiple features spanning varying degrees of magnitude, range, and units. This. The post Feature Scaling for Machine Learning: Understanding the Difference Between Normalization vs. Standardization appeared first on Analytics Vidhya.
Dataconomy
APRIL 1, 2020
The promise of artificial intelligence (AI) is finally being realized across a wide variety of industries. AI is now viewed as a crucial technology to adopt for enterprises to thrive in today’s business environment. Healthcare, in particular, has been one of the industries that AI advocates expect to be revolutionized. The post Key Challenges That Healthcare AI Needs to Overcome in 2020 appeared first on Dataconomy.
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DataRobot
APRIL 1, 2020
Our objective is to predict the severity of a COVID-19 patient at time of hospital admission , to provide a second opinion to the triaging officer, so that more resources can be accurately allocated to a serious case [1]. We define a serious case as a patient having at least 11 days of hospitalisation which is equal to or more than the average stay of a serious COVID-19 case [2], or died in hospital.
Smart Data Collective
APRIL 1, 2020
Big data is the lynchpin of the Software as a Service (SaaS) business model. Panoply, a big data innovator, has talked about a new model called Data as a Service, which is a variation of the same idea. Big data is used at every junction of the SaaS model. Savvy companies will use it to track important KPIs to meet their goals. SaaS Model Relies on Big Data Innovation.
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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?
Analytics Vidhya
APRIL 1, 2020
Overview The ideal time to work on your data science portfolio with these open source projects From datasets on COVID-19 to a collection of. The post 6 Open Source Data Science Projects to Make you Industry Ready! appeared first on Analytics Vidhya.
Dataconomy
APRIL 2, 2020
Five experts went live with educational sessions at our community site DN Club and told us about technology in times of coronavirus. Where are we heading in the crisis and how can the tech community contribute to finding solutions? Even though we are moving towards difficult times, there might be. The post How Coronavirus can make open-source movements flourish and fix our healthcare systems appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
APRIL 3, 2020
Big data is driving a number of changes in the business community. Some of the benefits of big data incredibly obvious. However, there are also a lot of other benefits big data creates that don’t get as much publicity. One of the biggest benefits of big data is that it can create giveaway bots for online businesses. These benefits can be incredible for many ecommerce stores.
Analytics Vidhya
MARCH 29, 2020
What if I told you that we can derive effective and impactful insights from our dataset in just a few lines of code? That’s. The post GroupBy in Pandas: Your Guide to Summarizing and Aggregating Data in Python appeared first on Analytics Vidhya.
DataRobot
MARCH 31, 2020
Computer vision has been suggested to help with the battle against COVID-19. In this article, we want to share our preliminary research into two different datasets. Confirming existing results , we found defects with the existing approaches, due to leakage when building COVID image datasets from heterogeneous sources. We explain here why these issues occurred, using interpretability tools to detect them.
Alation
MARCH 31, 2020
As organizations become more data driven and the scope of data consumers expands through self-service, data literacy and data fluency have become valuable organizational competencies. Current events throughout the world are escalating the value of these competencies from valuable to imperative. The COVID-19 pandemic affects all dimensions of business and society.
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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.
Smart Data Collective
MARCH 31, 2020
The market for big data and AI is surging. One recent study found that the global market for these technologies will be worth $229 billion within the next five years. There are many benefits to industries that implement AI; healthcare, finance, communications, retailers, and even art companies are making use of the technology. And in the marketing industry, AI is revolutionizing the way corporations use data, interact with customers, and grow their firm’s reach.
Analytics Vidhya
MARCH 29, 2020
Can you fool your deep learning model? What does lying to your deep learning model even entail? This question we’re sure most of you. The post Can you Lie to your Deep Learning Model? appeared first on Analytics Vidhya.
DataRobot
APRIL 2, 2020
Visual AI is New in DataRobot 6.0. In Release 6.0 of DataRobot , we are thrilled to announce a ground-breaking new capability in our Automated Machine Learning product. DataRobot Visual AI gives you the ability to easily incorporate image data into your machine learning models alongside tabular and text-based data types. This enables your organization to get value from computer vision, right away – all with the same DataRobot usability, workflow, visuals, and other UI features you know and love.
Data Science 101
MARCH 30, 2020
Daphne Koller is a former Stanford Professor, former co-founder of Coursera, and now a founder of insitro. She has a wealth of knowledge and always has something interesting to say. This talk was delivered at Women in Data Science 2020. The post Daphne Koller – A New Approach to Drug Discovery appeared first on Ryan Swanstrom.
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
APRIL 1, 2020
Artificial intelligence has been leveraged to solve countless challenges in recent years. The coronavirus crisis is putting the benefits of AI to the test. The Hill recently discussed this in its article “ Enlisting AI in our war on coronavirus: Potential and pitfalls.”. One of the ways AI is helping people with the recent pandemic is by improving banking.
Analytics Vidhya
MARCH 30, 2020
Overview Learn how to build your own ball tracking system for cricket using computer vision and Python We will discuss different approaches for tracking. The post Howzatt! How to Build Your Own Ball Tracking System for Cricket appeared first on Analytics Vidhya.
DataRobot
APRIL 1, 2020
The water quality at an urban-adjacent river like the Anacostia River in Washington D.C., can vary wildly from day to day. Severe rainstorms, sewage overflows, and excessive littering are just some of the factors that can affect its quality and cleanliness.
DeepMind
MARCH 30, 2020
The Atari57 suite of games is a long-standing benchmark to gauge agent performance across a wide range of tasks. We’ve developed Agent57, the first deep reinforcement learning agent to obtain a score that is above the human baseline on all 57 Atari 2600 games. Agent57 combines an algorithm for efficient exploration with a meta-controller that adapts the exploration and long vs. short-term behaviour of the agent.
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.
Smart Data Collective
APRIL 1, 2020
Big data is redefining the world of marketing. A growing number of SaaS companies are looking for ways to use big data to get more value from leads and business opportunities. One of the ways businesses can rely more on big data is with SEO. Ahrefs is a leading SEO tool provider, which has used big data to deliver greater value to its customers. A growing number of other digital marketing experts have highlighted benefits with big data in SEO.
Analytics Vidhya
MARCH 31, 2020
Ideal Time to Start your Machine Learning Journey! Picture this – you want to learn all about machine learning but just can’t find the. The post Announcing the Machine Learning Starter Program! [FREE Access for 14 Days!] appeared first on Analytics Vidhya.
DataRobot
APRIL 3, 2020
At DataRobot, we meticulously test all the models we build on thousands of real-world datasets to ensure they meet our customers high expectations across performance, generalization, and reliability. There’s no denying that tree-based methods — especially boosting models — have dominated our leaderboards when it comes to traditional data types in rows and columns, aka tabular data.
Smart Data Collective
APRIL 3, 2020
Big data is driving a number of changes in the business community. Some of the benefits of big data incredibly obvious. However, there are also a lot of other benefits big data creates that don’t get as much publicity. One of the biggest benefits of big data is that it can create giveaway bots for online businesses. These benefits can be incredible for many ecommerce stores.
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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.
Smart Data Collective
MARCH 30, 2020
Online privacy is becoming more important to people than ever before. In part, this has to do with scandals involving large online companies like Amazon, Facebook, and Google. People are surprised to learn how much information these companies and others like them are gathering about them online. They are even more surprised when the personal information gathered is leaked or sold to others.
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