Analytics Vidhya
NOVEMBER 12, 2021
This article was published as a part of the Data Science Blogathon This article starts by discussing the fundamentals of Natural Language Processing (NLP) and later demonstrates using Automated Machine Learning (AutoML) to build models to predict the sentiment of text data. Other applications of NLP are for translation, speech recognition, chatbot, etc.
KDnuggets
NOVEMBER 8, 2021
With a lot of excitement and research around NLP, there are growing opportunities to apply these technologies to real-world scenarios. It's not trivial to become familiar with NLP and these open-source data sets can help you increase your skills.
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Dataconomy
NOVEMBER 9, 2021
The world has come to rely on data. Data-driven analytics fuel marketing strategies, supply chain operations, and more, and often to impressive results. However, without careful attention to data accuracy, these analytics can steer businesses in the wrong direction.
Hacker News
NOVEMBER 10, 2021
The Entangled Limit of Everything. I call it the ruliad. Think of it as the entangled limit of everything that is computationally possible: the result of following all possible computational rules in all possible ways. It’s yet another surprising construct that’s arisen from our Physics Project. And it’s one that I think has extremely deep implications—both in science and beyond.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
NOVEMBER 12, 2021
This article was published as a part of the Data Science Blogathon Introduction Hey all, I am sure you must have played pokemon games at some point in time and must have hated the issue of creating an optimal and balanced team to gain an advantage. What if I say one can do this by having […]. The post Optimizing Pokemon Team using Python’s PuLP Library appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 9, 2021
In this article we are discussing that HDF5 is one of the most popular and reliable formats for non-tabular, numerical data. But this format is not optimized for deep learning work. This article suggests what kind of ML native data format should be to truly serve the needs of modern data scientists.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Hacker News
NOVEMBER 7, 2021
A view of the Maersk Ohio from above Courtesy of Bryan Boyle. A merchant marine captured life at sea on a video tour of a Maersk cargo ship. The video shows the technology that helps guide the ship, as well as the crews' living quarters. Second mate Bryan Boyle said his work has given him the opportunity to explore numerous destinations. A merchant marine gave a tour of a 958-foot cargo ship that showed the intricacies of hulking freighters that haul 90% of the world's goods.
Analytics Vidhya
NOVEMBER 8, 2021
This article was published as a part of the Data Science Blogathon. Getting Started With… Natural Language Processing (NLP) is the field of artificial intelligence that relates lingual to Computer Science. I am assuming that you have understood the basic concepts of NLP. So we will move ahead. There are Some NLP applications as follows: […].
KDnuggets
NOVEMBER 12, 2021
The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).
Smart Data Collective
NOVEMBER 12, 2021
Much has changed since the time when organizations only knew of antiviruses and simple firewalls as the tools, they need to protect their computers. To address newer challenges, security providers have developed new technologies and strategies to combat evolving threats. Stephanie Benoit-Kurtz, Lead Area Faculty Chair for the University of Phoenix’s Cybersecurity Programs, offers a good summary of the changes security organizations should anticipate , especially in the time of the pandemic.
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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?
FlowingData
NOVEMBER 12, 2021
We know the oceans are deep, but it’s difficult to grasp the scale of just how deep, because, well, it’s underwater. MetaBallStudios , a YouTube channel that focuses on perspective and 3-D animation, guides you through the depths of major bodies of water. You’ll pass notable on-land monuments along the way. [via kottke ]. Tags: 3-d , depth , MetaBallStudios , ocean , scale.
Analytics Vidhya
NOVEMBER 11, 2021
This article was published as a part of the Data Science Blogathon INTRODUCTION Investing is an important part of one’s life because Investing helps in making the present and future safety, it allows you to grow financially. Also, investing is a process of compounding profits. Investing money at the right place and right time helps in increasing […].
KDnuggets
NOVEMBER 10, 2021
A machine can only understand numbers. As a result, converting text to numbers, called embedding text, is an actively researched topic. In this article, we review different word embedding techniques for converting text into vectors.
Smart Data Collective
NOVEMBER 12, 2021
According to the 2021 CMO Spend Survey by Gartner, budget allocation for marketing analytics failed to make the top 3 in priority falling behind digital commerce, marketing operations and brand strategy. While I understand that selling products, cutting costs and delivering brand strategy is important for long term business results, the lack of priority in using data troubles me.
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.
FlowingData
NOVEMBER 11, 2021
Welcome to issue #164 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I’m thinking we’re ready to come together as one and stop using “chartjunk” to describe any graph or visual element that doesn’t tick a certain number of boxes. Become a member for access to this — plus tutorials, courses, and guides.
Analytics Vidhya
NOVEMBER 9, 2021
This article was published as a part of the Data Science Blogathon In this article, I am going to build multiple neural network models to solve a regression problem. Before we start working on the model, I would like to give a brief overview of what we will touch on and what steps we will follow. […]. The post Neural Network for Regression with Tensorflow appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 9, 2021
Beginners in the field can often have many misconceptions about machine learning that sometimes can be a make-it-or-break-it moment for the individual switching careers or starting fresh. This article clearly describes the ground truth realities about learning new ML skills and eventually working professionally as a machine learning engineer.
Smart Data Collective
NOVEMBER 9, 2021
The average consumer is unaware of the phenomenal benefits that big data provides. One of the biggest benefits of big data is that it can help improve driver safety. Data analytics technology is becoming more useful when it comes to stopping traffic accidents. A lot of companies are sharing data to help make roads and vehicles safer, as well as helping drivers make better driving decisions on the road.
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.
Tableau
NOVEMBER 12, 2021
Kristin Adderson. November 13, 2021 - 1:12am. November 13, 2021. Editor's note: This article originally appeared in Forbes , by Larissa Amoroso, Sr. Director, Tableau Community. In the journey to become data-driven, even data-leading, organizations traditionally viewed technology as the golden ticket. But adopting the right analytics platform isn’t enough: The ultimate accelerator of your data investments is community.
Analytics Vidhya
NOVEMBER 10, 2021
This article was published as a part of the Data Science Blogathon Image Source: Author Introduction to Fitness Tracker Market With the advancements in the IT domain, wearable devices have been in great demand in the recent past. A wearable device is simply a device that can be worn by the user and this device is […]. The post How To Use Python To Analyse Fitness Tracker Market: Step By Step EDA appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 11, 2021
The notion of self-service BI tools caught an expectation that they could provide a magic formula for easily helping everyone understand all the data. But, such an end-result isn't occurring in practice. To identify a better approach, we need to take a step back and determine what problem is actually trying to be solved.
Smart Data Collective
NOVEMBER 8, 2021
Data analytics has become a very important aspect of any modern business’s operating strategy. One of the most important ways to utilize big data is with financial management. The financial analytics market is projected to be worth $114 billion within the next two years. This is a testament to the amazing benefits it provides for companies in all sectors.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
FlowingData
NOVEMBER 12, 2021
Patrick Sisson for The New York Times reports on the growing popularity of tracking customer movement in stores : Complicating efforts to address privacy concerns is a lack of regulatory clarity. Without an overarching federal privacy law or even a shared definition of personal data, retailers must sort through layers of state and municipal rules, such as California’s Consumer Privacy Act, said Gary Kibel, a partner at the law firm Davis+Gilbert who specializes in retail privacy.
Analytics Vidhya
NOVEMBER 8, 2021
This article was published as a part of the Data Science Blogathon Overview of Linear Regression “Without understanding the engine, building or working with a car is just playing with metal” This seems to be true in almost all domains of life, without fundamentals; creation and innovation are simply not possible. In this guide, we will […].
KDnuggets
NOVEMBER 9, 2021
OpenAI's latest research aims to solve math word problems. Let's dive a bit deeper into the ideas behind this new research.
Smart Data Collective
NOVEMBER 10, 2021
Big data technology has been a huge gamechanger in the insurance sector. More insurance are using big data to assist with the underwriting process. They have discovered that data analytics has made the underwriting process a lot easier. They are getting a better understanding of risk and choosing rates for their policyholders. However, insurance companies aren’t the only ones affected by big data.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
FlowingData
NOVEMBER 9, 2021
Over the years, more women have entered the workforce while the percentage of… Read More.
Analytics Vidhya
NOVEMBER 9, 2021
This article was published as a part of the Data Science Blogathon Introduction to Regularization During the Machine Learning model building, the Regularization Techniques is an unavoidable and important step to improve the model prediction and reduce errors. This is also called the Shrinkage method. Which we use to add the penalty term to control the complex […].
KDnuggets
NOVEMBER 8, 2021
This blog will be focusing on the work Google has been doing in the Federated Learning space.
Smart Data Collective
NOVEMBER 10, 2021
These days, almost every organization relies on huge quantities of data to run day-to-day operations. There are times when projects may require you to convert or migrate data , depending on whether it’s moving from one system to another or from several databases into one. The terms “ database conversion ” and “database migration” are often used interchangeably, but they are two different processes that play a big role in an organization’s software implementation.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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