Analytics Vidhya
AUGUST 2, 2020
So Overview Understand the concept of Non-Max Suppression Learn how object detection algorithms use Non-Max Suppression Implement non-max suppression using NMS function in PyTorch. The post Selecting the Right Bounding Box Using Non-Max Suppression (with implementation) appeared first on Analytics Vidhya.
Dataconomy
AUGUST 6, 2020
Professional sports lend themselves really well to economic calculations – players, coaches, and agents act similarly to the hypothetical, rational decision-makers in economic models. While this data may seem complex or hard to obtain, it’s actually all readily available online – you just need to know where to look, how. The post Every deal in professional sports is based on data appeared first on Dataconomy.
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Hacker News
AUGUST 4, 2020
Over the last few months, my colleague Unmesh Joshi has been running workshops to teach developers about distributed systems design. In this work he's been delving into many open-source distributed systems and identifying patterns. As he writes them up, he's publishing the patterns on my site. Today he's publishing an initial narrative article that ties the first batch of patterns together, and two of these patterns: Heartbeat and Generation Clock.
Smart Data Collective
AUGUST 4, 2020
Digital marketing is becoming more important during the pandemic. One study in the UK found that 65% of consumers increased spending during the crisis. Companies are investing more in digital marketing to respond to changing consumer behavior. Unfortunately, they have also found it difficult to train employees. Fortunately, new data analytics advances can help.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
AUGUST 6, 2020
Overview Open-source data science projects are a great way to prepare yourself for the future. Explore the open-source data science projects from computer vision, The post 6 Open-Source Projects to Become Future-Ready Data Scientist appeared first on Analytics Vidhya.
Dataconomy
AUGUST 4, 2020
BI can help you start making sense of your data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them sounds impossible. So, why. The post AI is Making BI Obsolete, and Machine Learning is Leading the Way 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
AUGUST 4, 2020
The big data market is exploding. According to Markets and Markets, it will be worth $229 billion in the next five years. Despite the rapid evolution of big data, many small businesses are overlooking its benefits. You should not make this mistake. You should consider the vast benefits of big data and invest in it accordingly. Why Small Businesses Overlook Big Data (And Should Start Embracing it).
Analytics Vidhya
AUGUST 5, 2020
Overview Text analytics is becoming easier with many people working day and night on each aspect of Natural Language Processing We list a set. The post People to Follow in the field of Natural Language Processing (NLP) appeared first on Analytics Vidhya.
Dataconomy
AUGUST 4, 2020
To guide your company towards success, leaders need a clear idea of what’s around the corner. It’s not enough to analyze what happened in the past. You need to know what the future holds. And that means data science-backed predictive models. More data science doesn’t always mean more data scientists, though. The post FREE GUIDE: Do You Need a Data Science Team, Platform, or Service?
Eugene Yan
AUGUST 4, 2020
Updating our FastAPI app to let users select options and download results.
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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?
Smart Data Collective
AUGUST 5, 2020
In this writing, readers will get to know in what way AI might replace the key procedures in the judicial system around the world. Additionally, you will get informed in detail concerning the following issues: How AI is being used in judicial systems in the US and China nowadays; Can AI ever make the right decisions and release fair verdicts; Whether it is real that AI will once replace human judges in courts.
Analytics Vidhya
AUGUST 4, 2020
Overview Understand the importance of Time Intelligence functions in Power BI Implement Time Intelligence functions in Power BI with a simple example Introduction. The post Time Intelligence in Power BI: Capitalize on time appeared first on Analytics Vidhya.
The Data Governance Institute
AUGUST 7, 2020
This type of program typically comes into existence because of issues around the quality, integrity, or usability of data. It may be sponsored by a Data Quality group or a business team that needs better quality data. (For example: Data Acquisition or Mergers & Acquisitions.) These types of programs almost always involve Data Quality software, which may be used by business staff, technical staff, Data Stewards, Data Governance teams, or others.
Victor Zhou
AUGUST 3, 2020
Keras is a simple-to-use but powerful deep learning library for Python. In this post, we’ll build a simple Recurrent Neural Network (RNN) and train it to solve a real problem with Keras. This post is intended for complete beginners to Keras but does assume a basic background knowledge of RNNs. My introduction to Recurrent Neural Networks covers everything you need to know (and more) for this post - read that first if necessary.
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.
Smart Data Collective
AUGUST 6, 2020
To this day, roughly 90 percent of the world’s trade is handled by the international shipping industry. Not only does this make it one of the most lucrative sectors in the global economy, but as a result, it’s one of the biggest targets for cyber criminals. In order to stay safe, maritime organizations must invest in the proper security mechanisms and strategies.
Analytics Vidhya
AUGUST 4, 2020
Object Detection is a computer vision task in which you build ML models to quickly detect various objects in images, and predict a class. The post Playing with YOLO v1 on Google Colab appeared first on Analytics Vidhya.
The Data Governance Institute
AUGUST 7, 2020
This type of program typically comes into existence because of concerns about Data Information Security controls, or compliance. Compliance, in this context, may refer to regulatory compliance, contractual compliance, or compliance with internal requirements. This focus is often seen combined with a focus on policy enforcement. It’s also seen combined with a focus on Data Quality.
Twilio Segment
AUGUST 3, 2020
There are now 8,000 martech tools available. Which ones should you choose? Our new guide will help you decide which ones are right for your business.
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
AUGUST 6, 2020
At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. One of the most significant developments that we discuss constantly is the proliferation of artificial intelligence. Video marketing is another major technological breakthrough that is proving to pay massive dividends.
Analytics Vidhya
AUGUST 3, 2020
Overview Introduction to Natural Language Generation (NLG) and related things- Data Preparation Training Neural Language Models Build a Natural Language Generation System using PyTorch. The post Build a Natural Language Generation (NLG) System using PyTorch appeared first on Analytics Vidhya.
The Data Governance Institute
AUGUST 7, 2020
This type of program typically comes into existence in conjunction with a major system acquisition, development effort, or update that requires new levels of cross-functional decision-making and accountabilities. What other types of groups and initiatives might want such a program focus? Enterprise initiatives such as A move to Service Oriented Architecture (SOA), with its need for well-governed data A new focus on Metadata A Master Data Management (MDM) initiative Enterprise Data Management (ED
DataCentric podcast
AUGUST 3, 2020
Earnings for 2Q have started rolling in, with IBM, AMD, and Intel all early reporters from the Data Center world. There's solid financial news for all three, but each with different industry-level impacts. Hosts Matt Kimball & Steve McDowell, both from Moor Insights & Strategy, talk about what it all means. Intel delivered solid numbers, but were punished by both guidance and disclosure of some execution problems in rolling out its next generation, 7nm, processors.
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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.
Hacker News
AUGUST 6, 2020
There are tens of thousands of genes in the human genome: minuscule twists of DNA and RNA that combine to express all of the traits and characteristics that make each of us unique. Each gene is given a name and alphanumeric code, known as a symbol, which scientists use to coordinate research. But over the past year or so, some 27 human genes have been renamed, all because Microsoft Excel kept misreading their symbols as dates.
Analytics Vidhya
AUGUST 7, 2020
Introduction Natural Language Processing (NLP) is one of the most important fields of study and research in today’s world. It has many applications in. The post How to Use Texthero to Prepare a Text-based Dataset for Your NLP Project appeared first on Analytics Vidhya.
The Data Governance Institute
AUGUST 7, 2020
This type of program typically comes into existence in conjunction with a specific data warehouse, data mart, or BI tool. These types of efforts require tough data-related decisions, so organizations often implement governance to help make initial decisions, to support follow-on decisions, and to enforce standards and rules after the new system becomes operational.
Analytics Vidhya
AUGUST 5, 2020
Introduction There are almost 100 python packages being created each day. On PyPI, at the time of writing this article, there are 254,216 projects. The post 7 Awesome Python Packages and Example Projects to Build! appeared first on Analytics Vidhya.
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.
The Data Governance Institute
AUGUST 7, 2020
This type of program typically comes into existence when managers find it difficult to make “routine” data-related management decisions because of their potential effect on operations or compliance efforts. Managers may realize they need to come together to make collaborative decisions but either don’t know all the stakeholders to involve or have an obstacle to assembling them.
The Data Governance Institute
AUGUST 6, 2020
It seems like there are two types of Data Governance and Stewardship programs: 1) Thriving ones, with highly-engaged stakeholders, and 2) Ones whose futures are in question, since stakeholders and stewards are only sporadically involved or give only weak support to the program. “How can I make my stewards come to council meetings?” I’m sometimes asked, and my truthful reply is that you can’t – at least not in a sustainable fashion.
The Data Governance Institute
AUGUST 6, 2020
Most organizations have string change management – or at least change control – mechanisms for technology. They usually have change management for software applications. They have change management for websites. And yet, many organizations do not practice structured change management for data. Why is this important? Some types of data – master data and reference data – should have tightly controlled sets of valid values.
The Data Governance Institute
AUGUST 6, 2020
Remember our (long) definition for Data Governance? “Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.” Yes, Data Governance is about enforcing rules.
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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