DataKitchen
FEBRUARY 1, 2021
Every DataOps initiative starts with a pilot project. How do you choose a project that matters to people? DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. DataOps reduces errors, shortens cycle time, eliminates unplanned work, increases innovation, improves teamwork, and more.
Analytics Vidhya
FEBRUARY 24, 2021
ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
David Menninger's Analyst Perspectives
FEBRUARY 8, 2021
The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). There is more data available to analyze. Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications. Organizations are realizing the value that AI/ML provides and there are now millions of professionals with AI or ML in their title or job description.
O'Reilly on Data
FEBRUARY 19, 2021
Here are some of the most significant themes we see as we look toward 2021. Some of these are emerging topics and others are developments on existing concepts, but all of them will inform our thinking in the coming year. MLOps FTW. MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice.
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.
TDAN
FEBRUARY 16, 2021
With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].
Sisense
FEBRUARY 9, 2021
Blog. Imagine a future where a wide range of surgeries, no matter how complex, could be conducted remotely, a future where a patient in dire need of help could access the most highly regarded specialists in any area of medicine regardless of where on the globe that person may be. In 2019, Dr. Ryan Madder from Spectrum Health performed a series of simulated remote percutaneous coronary interventions (PCIs) via a control station outside of Boston.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
FEBRUARY 26, 2021
ArticleVideo Book Introduction According to industry estimates, only 21% of the available data is present in a structured form. Data is being generated as. The post Basics of Natural Language Processing(NLP) for Absolute Beginners appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
FEBRUARY 24, 2021
Ventana Research recently announced its 2021 market agenda for Analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.
O'Reilly on Data
FEBRUARY 26, 2021
A couple of years ago, Pete Skomoroch, Roger Magoulas, and I talked about the problems of being a product manager for an AI product. We decided that would be a good topic for an article, and possibly more. After Pete and I wrote the first article for O’Reilly Radar, it was clear that there was “more”–a lot more. We then added Justin Norman, VP of Data Science at Yelp, to the team.
Smart Data Collective
FEBRUARY 4, 2021
Companies are discovering the countless benefits of using big data as they strive to keep their operations lean. Big data technology has made it a lot easier to maintain a decent profit margin as they try to keep their heads above water during a horrific economic downturn. One of the most important benefits of using big data is with expense tracking.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Dataiku
FEBRUARY 19, 2021
In January, our Dataiku Lab team presented their annual findings for up-and-coming machine learning (ML) trends , based on the work they do in machine learning research. In this series, we're going to break up their key topics (trustworthy ML, human-in-the-loop ML, causality, and the connection between reinforcement learning and AutoML) so they're easy for you to digest as you aim to optimize your ML projects in 2021.
Domino Data Lab
FEBRUARY 4, 2021
Container technology has changed the way data science gets done. The original container use case for data science focused on what I call, “environment management”. Configuring software environments is a constant chore, especially in the open source software space, the space in which most data scientists work. It often requires trial and error. This tinkering may break dependencies such as those between software packages or between drivers and applications.
Analytics Vidhya
FEBRUARY 20, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction With the motivation of award-winning from Analytics Vidhya Blogathon3 continuing. The post ML Model Deployment with Webhosting frameworks appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
FEBRUARY 26, 2021
Ventana Research recently announced its 2021 Market Agenda for data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.
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.
DataCamp
FEBRUARY 19, 2021
Our infographic explains how the open-source revolution has transformed data science and maps out how to become fluent in data manipulation, data visualization, machine learning, reporting and communicating data, and natural language processing.
Smart Data Collective
FEBRUARY 16, 2021
Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. However, there are also less direct reasons that big data can be important for stopping cyberattacks.
Dataiku
FEBRUARY 12, 2021
Following OpenAI’s update of the latest staged release of GPT-2, it’s a good time to reflect on what the project means for the future of AI’s openness, but more broadly — and probably more importantly — for the future of regulation and openness in the field.
Teradata
FEBRUARY 9, 2021
Everyone knows that data is vital for success in retail. But without a clear data strategy, retailers often eat up resources fighting small-scale battles, whilst gradually losing the war.
Advertisement
Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
Analytics Vidhya
FEBRUARY 18, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Machine learning.Sounds cool right? When I see those two words, The post Introduction to Machine Learning for Absolute Beginners appeared first on Analytics Vidhya.
Cloudera
FEBRUARY 23, 2021
Meet Kevin Smith, a Staff Customer Operations Engineer within the US Public Sector support team. He sums up his day-to-day by saying he works directly with clients on technical cases and provides support and guidance as they troubleshoot unexpected behavior. He also serves as a member of several project teams focusing on upgrade experiences, internal tools, product testing, training, and documentation.
DataCamp
FEBRUARY 3, 2021
Making better, safer vehicles requires a data-driven approach. Data science unlocks better mobility solutions for all with connected and autonomous vehicles.
Paul Turley
FEBRUARY 14, 2021
Part of the the series: Doing Power BI the Right Way Although my professional focus is building enterprise-scale BI solutions, I’ve created my share of informal Power BI reports that were put together quickly, with the goal to create something “good enough” rather then achieving perfection.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
Dataiku
FEBRUARY 4, 2021
In the prior posts in the How They Work (In Plain English!) series, we went through a high-level overview of machine learning and explored two key categories of supervised learning algorithms ( linear and tree-based models ), two key unsupervised learning techniques ( clustering and dimensionality reduction ), and recommendation engines which can use either supervised or unsupervised learning.
Business Over Broadway
FEBRUARY 14, 2021
A recent survey by Kaggle revealed that data professionals used a variety of different ML algorithms in their work. On average, data professionals used two (median) algorithms. The most frequently used algorithms were 1) linear/logistic regression, 2) decision trees/random forests and 3) Convolutional Neural Networks. The total number of and use of specific algorithms varied across job titles, with ML engineers using the most (4) and DBA/Database Engineers using the least (1).
Analytics Vidhya
FEBRUARY 12, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction A step-by-step guide to getting started with Seaborn! If matplotlib. The post A Beginner’s Guide To Seaborn: The Simplest Way to Learn appeared first on Analytics Vidhya.
Cloudera
FEBRUARY 8, 2021
The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.
Advertisement
Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
Smart Data Collective
FEBRUARY 8, 2021
It wasn’t long ago that we wrote about how big data was setting new standards in the field of web design. More web developers are going to rely heavily on data-driven technology to improve the quality of their work in the near future. The way we do things digitally is only getting more advanced. The more we learn about technology, the more we want to build it and use it across different platforms.
Jen Stirrup
FEBRUARY 11, 2021
People like Satya Nadella talk about a ‘growth mindset’ often. So, as a former Microsoft MVP for almost ten years before I handed the Award back , I used to be in many conversations where ‘growth mindset’ was the topic of conversation; the latest kool-aid. In a way, it’s quite a forgiving way of working. When someone makes a mistake, then it is chalked up to the ‘growth mindset’ and the idea is that person moves on from the mistake and everyone forgets a
Dataiku
FEBRUARY 8, 2021
Reinforcement learning is a technique largely used for training gaming AI — like making a computer win at Go or finish Super Mario Bros levels super fast. That's great, but to some extent, this use case isn’t very exciting or useful. Yet reinforcement learning is also the potential first step toward bringing intuition to AI in business contexts, filling the gap between abductive reasoning and inductive reasoning.
FineReport
FEBRUARY 17, 2021
What is Project Management Report? A project management report is a high-level overview of the current status of a project. In another word, it is a formal and regular record of a project state at a given time. Why is project management report critical? To be more explicit about the importance of project management reports, let’s see what they can bring to companies: Monitor what’s working to encourage the explanation and focus Uncover what’s not working to facilitate reflectio
Advertiser: Data Robot
As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.
Expert insights. Personalized for you.
245 
Let's personalize your content