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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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 1, 2020
Surprising lessons I picked up from the best books, essays, and videos on writing non-fiction.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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
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: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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 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: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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.
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
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.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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