Analytics Vidhya
APRIL 25, 2019
Introduction We are currently in the midst of a global fitness revolution. Most of the people I know are geeking out over the latest. The post How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!) appeared first on Analytics Vidhya.
Dataconomy
APRIL 24, 2019
What are the fears around data while exploring potential use cases to demonstrate the value for the ‘smart citizen’? Here is a look. With The United Nations reporting that two-thirds (68%) of the world’s population are expected to live in cities by 2050, scientists are seeking new and innovative ways. The post Are citizens prepared for the data implications of smart cities?
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DataRobot Blog
APRIL 22, 2019
by Jen Underwood. So many buzzwords, so much confusion. Automated analytics, artificial intelligence (AI)-driven BI, and automated machine learning (AutoML), aren’t these terms describing the exact same thing? NO. Although these technologies may. Read More.
Data Science 101
APRIL 26, 2019
While it is not one of the popular programming languages for data science, The Go Programming Language (aka Golang) has surfaced for me a few times in the past few years as an option for data science. I decided to do some searching and find some conclusions about whether golang is a good choice for data science. Popularity of Go and Data Science. As the following figure from Google Trends demonstrates, golang and data science became trendy topics at about the same time and grew at a similar rate
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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?
Smart Data Collective
APRIL 16, 2019
According to a UN study, 55% of the total world population is living in cities and by the year 2050, this figure could rise to a whopping 68%. The modern world is increasingly urbanized and megacities are rising faster than ever before, especially in Asian and African countries. The report highlighted that , at the present rate of development, there will be 43 megacities by 2030 and New Delhi is set to surpass Tokyo, which is currently the world’s largest city.
DataRobot
APRIL 10, 2019
For a company that has a laser-like focus on delighting its customers, Velocity--the frequent flyer program of Virgin Australia--is constantly looking for new ways to improve members’ experience. CEO Karl Schuster and his team were constantly asking themselves, “How can we serve customers the best and most relevant offers that will deliver the most value for them?”.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
APRIL 15, 2019
Much like other industries struggling to stay afloat in the stormy waters of the global economy, the shipping industry is seeking its own transformation after years of overcapacity and tumbling freight rates. Generating more revenues oftentimes depends on undercutting competitors’ prices, accepting lower margins and even tolerating losses on certain.
Eugene Yan
APRIL 29, 2019
No, you don't need a PhD or 10+ years of experience.
Data Science 101
APRIL 12, 2019
LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. Firstly, the number of available job openings is rapidly increasing and the highest in comparison to other jobs, data science has an extremely high job satisfaction rating, and the median annual salary base is undeniably desirable.
Smart Data Collective
APRIL 22, 2019
. When you’re presenting data analytics or any technical information to a non-technical audience, it can be difficult. You have to think about the components of a good presentation in general, but also how to simplify complex subjects and information and make them resonate with your target audience. If you’re someone who understands data analytics well or is highly technical, it can be especially challenging to know how to make your presentation work for the needs of an audience which is differ
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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.
DataRobot
APRIL 12, 2019
This week, two U.S. senators have introduced a bill that would require large companies and specialist data traders to assess and manage the risks associated with automated decision systems.
Analytics Vidhya
APRIL 7, 2019
Introduction Can you guess what’s common among all the faces in this image? None of these people are real! These faces were generated by. The post Top 5 Interesting Applications of GANs for Every Machine Learning Enthusiast! appeared first on Analytics Vidhya.
Dataconomy
APRIL 11, 2019
Organizations implementing AI have increased by 270 per cent over the last four years, according to a recent survey by Gartner. Even though the implementation of AI is a growing trend, 63 per cent of organizations haven’t deployed this technology. What is holding them back: cost, talent shortage? For many. The post How can you be AI ready? appeared first on Dataconomy.
DataRobot Blog
APRIL 11, 2019
by Jen Underwood. Where descriptive analytics reveals what has happened in the past, prescriptive analytics delivers insight into optimizing future decisions. As data-driven organizations mature, they will begin to apply prescriptive analytics. This. Read More.
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.
Data Science 101
APRIL 23, 2019
Microsoft Azure has an abundance of data science capabilities (and non-data science capabilities). It can be challenging to keep up with the latest updates/releases. Luckily, Azure has a page to let you know exactly what has changed. You just need to know where to find it, and the following video will help you find that page. Also, if you are still interested in earning a Microsoft Data Science Certification , join the Study Group.
Smart Data Collective
APRIL 10, 2019
As technology progresses, more companies are producing huge amounts of data as a by-product of their day-to-day operations. While I’m not one to claim that “most businesses are practically drowning” in a sea of data, it’s fair to say that companies wanting a long future had better start taking Big Data seriously. To put this in perspective, many pundits in the field predicted a few years back that Big Data will double in size every couple of years until 2020.
DataRobot
APRIL 22, 2019
We’re happy to announce the new V4 release of our popular DataRobot tools for Alteryx. We’ve taken the feedback from hundreds of customers and partners to incorporate even more robust functionality into the connectors.
Analytics Vidhya
APRIL 17, 2019
Introduction I have always been fascinated with games. The seemingly infinite options available to perform an action under a tight timeline – it’s a. The post A Hands-On Introduction to Deep Q-Learning using OpenAI Gym in Python 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
APRIL 4, 2019
Data has never been more relevant for understanding consumer behavior. With data scientists in high demand and earning six figures or more a year, this is undeniable. Technology is changing the way that consumers think and behave. By creating experiences that align with consumer demands, business leaders can create profits. The post This Is Your Brain on Data: Marketing in the New Digital Age appeared first on Dataconomy.
Victor Zhou
APRIL 25, 2019
2022 Update : thank you all for tremendous support this guide has received! I’ve modernized some of the code and content in this post. Happy developing ? When Agar.io came out in 2015, it inspired a new.io game genre that has since exploded in popularity. I experienced the rise of.io games firsthand: I’ve built and sold 2.io games in the past 3 years.
Data Science 101
APRIL 29, 2019
Here is the latest data science news for the week of April 29, 2019. From Data Science 101. The Go Programming Language for Data Science Quick Video Tutorial for Find Updates in Azure Two-Minute Papers, One Pixel attack on NN. General Data Science. How to Go into Data Science – tons of Q&A for becoming a data scientist Uber submits Hudi to the Apache Software Foundation – Open source project providing stream processing for big data 3 Awesome Visuals with Python Code -Categorical
Smart Data Collective
APRIL 24, 2019
Manufacturing is a more powerful and essential part of our industries and economies than ever. But setting these vital enterprises up for maximum success and unrivaled innovation takes information — and that means gathering data. If you represent a manufacturing concern and you’re wondering about the benefits of capturing and analyzing operational data , you’ve come to the right place.
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.
DataRobot
APRIL 23, 2019
In this Data Scientist Spotlight, you’re going to meet Sergey Yurgenson , the Director of Advanced Data Science Services at DataRobot. Sergey is a Kaggle Grandmaster who was named one of the top ten Kaggle data scientists in 2012. He has been with DataRobot since the early days and has a lot of insight and experience to share.
Analytics Vidhya
APRIL 14, 2019
Introduction Are you working with image data? There are so many things we can do using computer vision algorithms: Object detection Image segmentation Image. The post Build your First Multi-Label Image Classification Model in Python appeared first on Analytics Vidhya.
Dataconomy
APRIL 18, 2019
The advent of the emerging sector of Big Data has brought with it the promise of highly scalable databases to handle terabytes of data at a time. Dealing with colossal datasets will attest to have difficulty for manipulating, storing and retrieving information in bulk quantities to determine if the cache. The post Distributed Data Caching Using Big Data appeared first on Dataconomy.
Explosion
APRIL 16, 2019
In this free and interactive online course, you’ll learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
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.
Depends on the Definition
APRIL 13, 2019
Since a lot of people recently asked me how neural networks learn the embeddings for categorical variables, for example words, I’m going to write about it today. You all might have heard about methods like word2vec for creating dense vector representation of words in an unsupervised way.
Smart Data Collective
APRIL 12, 2019
Cloud technology is starting to have a major impact on the communications sector. Klaris Chua, a cloud communications expert, wrote a detailed overview of the trends in cloud communications in Martech Advisor. Most of her discussions focused on the implications of cloud solutions for email and interconnected apps. However, there is a growing demand for cloud VoIP services too.
DataRobot
APRIL 30, 2019
Artificial intelligence (AI) has been helping businesses across industries and around the world manage and leverage years of data to solve various problems (e.g., banks sorting through loan applications and hospitals predicting patient readmissions). Businesses are either already adopting AI throughout their organizations or are curious to know more about it in order to stay competitive.
Analytics Vidhya
APRIL 21, 2019
Introduction I was intrigued going through this amazing article on building a multi-label image classification model last week. The data scientist in me started. The post Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification 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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