Analytics Vidhya
APRIL 8, 2020
Introduction Google Colab is an amazing gift to the data science community from the fine folks at Google. Colab gives us the ability to. The post 5 Amazing Google Colab Hacks You Should Try Today! appeared first on Analytics Vidhya.
Dataconomy
APRIL 9, 2020
The global COVID-19 pandemic has generated a wide variety of responses from citizens, governments, charities, organizations, and the startup community worldwide. At the time of writing, the number of confirmed cases has now exceeded 1,000,000, affecting 204 countries and territories. From mandated lockdowns to applauding health workers from balconies, a.
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Smart Data Collective
APRIL 10, 2020
Artificial Intelligence (AI) is changing the way that eCommerce companies do business. AI is being implemented in systems across the eCommerce sector. From generating leads to gathering information, AI has improved multiple facets of the industry. Algorithmic bots have revolutionized customer facing services. Automated systems are the driving force behind improvements in back-end eCommerce software. eCommerce AI is a data-driven trend that allows companies to manage and analyze consumer informat
DataRobot
APRIL 10, 2020
The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model that is useful today.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
APRIL 6, 2020
The World of Object Detection I love working in the deep learning space. It is, quite frankly, a vast field with a plethora of. The post Build your Own Object Detection Model using TensorFlow API appeared first on Analytics Vidhya.
Dataconomy
APRIL 6, 2020
According to WHO, it took more than 3 months to reach the first 100,000 confirmed cases of coronavirus worldwide, but only 12 days to reach 200,000, 4 days to reach 300,000, 3 days to reach 400,000 and another 5 to reach 700,000. China’s cases rocketed in the early weeks of. The post #HackCorona 2.0: Open-source hardware, telehealth & pandemic forecasts appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science 101
APRIL 6, 2020
Brandon Rohrer is an expert in neural networks and deep learning. Plus, he makes really excellent videos about the topic. His entire YouTube Channel is worth viewing. How Deep Neural Networks Work by Brandon Rohrer. The post Brandon Rohrer – How Deep Neural Networks Work appeared first on Data Science 101.
Analytics Vidhya
APRIL 7, 2020
Introduction “ Give me six hours to chop down a tree and I will spend the first four sharpening the axe.” – Abraham Lincoln. The post 10 Powerful and Time-Saving Data Exploration Hacks, Tips and Tricks! appeared first on Analytics Vidhya.
Eugene Yan
APRIL 4, 2020
Using a Zettelkasten helps you make connections between notes, improving learning and memory.
Smart Data Collective
APRIL 10, 2020
90% of all data in the world has been generated in the last two years. With that in mind, it’s not surprising that a lot of companies are struggling with structuring and making sense of the data that they have, which causes various organizational issues, as well as limits the potential growth. That’s why big data companies that can help use that data are in such high demand.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
DataRobot
APRIL 6, 2020
If you’re a regular reader of the DataRobot blog, you likely fall into one of two categories. Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting , information about our expanded support for deep learning , or maybe just some ideas on how you can automate some of the data science tasks you dread.
Analytics Vidhya
APRIL 9, 2020
Introduction I have recently come across a lot of aspiring data scientists wondering why it’s so difficult to import different file formats in Python. The post How to Read Common File Formats in Python – CSV, Excel, JSON, and more! appeared first on Analytics Vidhya.
DeepMind
APRIL 5, 2020
Under a microscope, a pane of window glass doesn’t look like a collection of orderly molecules, as a crystal would, but rather a jumble with no discernable structure. Glass is made by starting with a glowing mixture of high-temperature melted sand and minerals. Once cooled, its viscosity (a measure of the friction in the fluid) increases a trillion-fold, and it becomes a solid, resisting tension from stretching or pulling.
Smart Data Collective
APRIL 8, 2020
sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
DataRobot
APRIL 8, 2020
Deploying models into production remains a critical challenge for organizations adopting AI. For many custom-built models, deployment requires extensive data science knowledge and coding expertise to promote those models from development to production. With varied languages and frameworks across AI teams and projects, deployment becomes even more challenging and specialized, depleting critical resources from data science and IT teams alike.
Analytics Vidhya
APRIL 5, 2020
Introduction “What’s the difference between supervised learning and unsupervised learning?” This is an all too common question among beginners and newcomers in machine learning. The post Supervised Learning vs. Unsupervised Learning – A Quick Guide for Beginners appeared first on Analytics Vidhya.
Data Science 101
APRIL 6, 2020
Brandon Rohrer is an expert in neural networks and deep learning. Plus, he makes really excellent videos about the topic. His entire YouTube Channel is worth viewing. How Deep Neural Networks Work by Brandon Rohrer. See other top data science videos on the Data Science 101 video page. The post Brandon Rohrer – How Deep Neural Networks Work appeared first on Ryan Swanstrom.
Smart Data Collective
APRIL 10, 2020
Machine learning is helping companies in every sector optimize their business models. Machine learning advances are helping companies solve some of their most obvious problems. However, they are also helping businesses deal with more mundane issues, such as accounting problems. While these problems seem less important at first glance, they are actually very important to address.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Smart Data Collective
APRIL 8, 2020
Big data is changing the nature of file transfer technology. It is both creating new challenges and new opportunities. The good news is that big data is leading to new file sharing technology, which is making it easier to solve certain file transfer problems. On the other hand, it is increasing the bandwidth requirements companies face. Stewart Harper wrote a blog post about the problems companies face when they try to move big data to the cloud.
Smart Data Collective
APRIL 9, 2020
During the recent coronavirus pandemic, we’ve been spending more and more time indoors. That makes us do more things on the internet. Some of us who were lucky enough to keep our jobs and work from home are also continually browsing the web. That might be fun and interesting, but we need to take into account the sheer influx of data that we’re providing to the numerous different web pages.
Smart Data Collective
APRIL 10, 2020
Artificial intelligence has been one of the most disruptive new technologies to affect the marketing profession in the last 50 years. One study found that 53% of marketers plan to use machine learning in some capacity. At Smart Data Collective, we have discussed many of the ways that AI and machine learning have changed the face of performance marketing.
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