DataKitchen
NOVEMBER 4, 2021
The post The vast majority of data engineers are burnt out. Those working in healthcare are no exception first appeared on DataKitchen.
Analytics Vidhya
NOVEMBER 2, 2021
This article was published as a part of the Data Science Blogathon. Introduction You’ve probably heard of TensorFlow if you’re a machine learning student. It has become an industry norm and is one of the most common tools for machine learning and deep learning experts. TensorFlow is a free and open-source library for creating machine […].
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David Menninger's Analyst Perspectives
NOVEMBER 3, 2021
Our research shows that nearly all financial service organizations (97%) consider it important to accelerate the flow of information and improve responsiveness. Even just a few years ago, capturing and evaluating this information quickly was much more challenging, but with the advent of streaming data technologies that capture and process large volumes of data in real time, financial service organizations can quickly turn events into valuable business outcomes in the form of new products and ser
KDnuggets
NOVEMBER 2, 2021
ML pipeline design has undergone several evolutions in the past decade with advances in memory and processor performance, storage systems, and the increasing scale of data sets. We describe how these design patterns changed, what processes they went through, and their future direction.
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.
DataKitchen
NOVEMBER 4, 2021
Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. The DataKitchen Platform is a “ process hub” that masters and optimizes those processes.
Analytics Vidhya
NOVEMBER 4, 2021
This article was published as a part of the Data Science Blogathon Overview What is this “Infinite timer in Python”? What are its uses? How to make it? What is this “Infinite Timer using python”? Infinite timer using Python is a program written in Python using its libraries. It serves as a reminder by notifying […]. The post Building an Infinite Timer using Python appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
NOVEMBER 2, 2021
Recently I decided to take the time to better understand the Python packaging ecosystem and create a project boilerplate template as an improvement over copying a directory tree and doing find and replace.
DataKitchen
NOVEMBER 2, 2021
The post Battle for Data Pros Heats Up as Burnout Builds first appeared on DataKitchen.
Analytics Vidhya
NOVEMBER 5, 2021
This article was published as a part of the Data Science Blogathon. Overview In this article, we are going to discuss automated multi-class classification on the mixed data type. Think about text classification. When we have a bunch of text and a target label. Based on the incoming text we create a model to learn […]. The post An Introduction to Automated Multi-Class Text Classification appeared first on Analytics Vidhya.
Smart Data Collective
NOVEMBER 1, 2021
Machine learning technology has become an integral part of many different design processes. Many entrepreneurs use machine learning to improve logo designs. However, there are a lot of other benefits as well. One of the areas where machine learning has proven particularly useful has been with 3D printing. 3D Printing is Crucial for Cost Optimization in 3D Printing.
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.
KDnuggets
NOVEMBER 5, 2021
There remain critical challenges in machine learning that, if left resolved, could lead to unintended consequences and unsafe use of AI in the future. As an important and active area of research, roadmaps are being developed to help guide continued ML research and use toward meaningful and robust applications.
DataKitchen
NOVEMBER 2, 2021
data.world's Bryon Jacob & DataKitchen's Chris Bergh discuss why Data Engineers are burnt out & how data teams can fix & prevent burnout with DataOps. The post 10 Tips to Overcome Data Engineer Burnout first appeared on DataKitchen.
Analytics Vidhya
NOVEMBER 2, 2021
This article was published as a part of the Data Science Blogathon. Introduction to Matplotlib Matplotlib is a widely used data visualization library in python. This article illustrates how to display, modify and save an image using the ‘matplotlib’ library. We will see how to use the ‘image’ module as it makes working with images […]. The post Plotting Images Using Matplotlib Library in Python appeared first on Analytics Vidhya.
Mark Raskino
NOVEMBER 1, 2021
[Reminder – these blogs are analyst personal opinion, not Gartner published research]. “Open up your firewalls to let your people access us!” said Philip Rosedale, founder of Second Life, as I recall. He was being interviewed on stage by my colleague Steve Prentice (now retired), who asked what the hundreds of CIOs and IT leaders in the audience could do to advance corporate use of immersive virtual worlds for business.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
KDnuggets
NOVEMBER 3, 2021
If you are beginning your data science journey, then you must be prepared to plan it out as a step-by-step process that will guide you from being a total newbie to getting your first job as a data scientist. These tips and educational resources should be useful for you and add confidence as you take that first big step.
Smart Data Collective
NOVEMBER 3, 2021
There is no denying the reality that artificial intelligence is setting new standards in the financial sector. In fact, AI is the basis for the sudden boom in Fintech. We have talked extensively about the role of AI in investment management and insurance. However, there are other segments of the financial industry that also rely on AI technology. The banking industry is among them.
Analytics Vidhya
OCTOBER 30, 2021
This article was published as a part of the Data Science Blogathon Overview What is Transfer Learning and it’s Working How Transfer Learning Works Why Should You Use Transfer Learning? When to use Transfer Learning Models That Have Been Pre-Trained The reuse of a previously learned model on a new problem is known as […]. The post Understanding Transfer Learning for Deep Learning appeared first on Analytics Vidhya.
TDAN
NOVEMBER 2, 2021
What is Data Governance and How Do You Measure Success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and growth strategy. But what […].
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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.
KDnuggets
NOVEMBER 4, 2021
Productizing AI is an infrastructure orchestration problem. In planning your solution design, you should use continuous monitoring, retraining, and feedback to ensure stability and sustainability.
Smart Data Collective
NOVEMBER 4, 2021
There are many important considerations for people using cloud technology. Lots of businesses have already moved to the cloud. One of the most important issues is cloud security. Cyberattacks have been named one of five top-rated risks in 2020, according to Global Risks Report for both private individuals and businesses. In 2021 the tendency is not expected to slow down as in IoT sector alone cyberattacks are projected to double in the next five years.
Analytics Vidhya
NOVEMBER 3, 2021
This article was published as a part of the Data Science Blogathon. Overview Keras is a Python library including an API for working with neural networks and deep learning frameworks. Keras includes Python-based methods and components for working with various Deep Learning applications. source: keras.io Table of Contents What exactly is Keras? Models Explaining Deep […].
Dataiku
NOVEMBER 5, 2021
A recent report by Deloitte revealed that more than 36% of biopharma products fail to meet market expectations, often as a result of inadequate targeting and sales strategies. With advancements in data science and AI practices, sales and marketing teams are now taking advantage of technology to create optimized outreach campaigns to improve sales at the healthcare provider (HCP) level.
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.
KDnuggets
NOVEMBER 4, 2021
This article is a brief summary of our observations on some common client misperceptions with respect to recent developments in NLP, especially the use of large-scale models and datasets.
Smart Data Collective
OCTOBER 30, 2021
Last year, one expert reported that Netflix used big data to grow to become a $100 billion company. This shouldn’t surprise anybody, because big data has been instrumental in their business model since the day the company was launched. Netflix, by far, is one of the most reputed, loved, preferred, and biggest OTT Platforms and has also been around the longest.
Analytics Vidhya
OCTOBER 30, 2021
Overview: PSO is a stochastic optimization technique based on the movement and intelligence of swarms. In PSO, the concept of social interaction is used for solving a problem. It uses a number of particles (agents) that constitute a swarm moving around in the search space, looking for the best solution. Each particle in the swarm […]. The post An Introduction to Particle Swarm Optimization (PSO) Algorithm appeared first on Analytics Vidhya.
Dataiku
NOVEMBER 3, 2021
What do you do once you have built the perfect model? In Dataiku, the answer is simple. This blog post features a demo from the 2021 Dataiku Product Days session on deployment and project delivery in Dataiku. This session was presented by Jacqueline Kuo, Senior Data Scientist at Dataiku, and François Sergot, Senior Product Manager at Dataiku. If you need a refresher on operationalization to start things off, check out this blog post to be ready for the demo.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
KDnuggets
NOVEMBER 4, 2021
Some new research from University of California, Berkeley shades some new light into how to quantify neural networks knowledge.
Smart Data Collective
NOVEMBER 1, 2021
Big data technology has become a very important aspect of modern retail. Countless retailers are finding ways to leverage big data to gain a greater competitive edge, market more effectively to customers and improve the in-store experience. One of the biggest ways that big data is being applied by many retail businesses is with QR codes. QR codes give businesses access to major troves of information.
Analytics Vidhya
NOVEMBER 3, 2021
This article was published as a part of the Data Science Blogathon What is EDA(Exploratory data analysis)? Exploratory data analysis is a great way of understanding and analyzing the data sets. The EDA technique is extensively used by data scientists and data analysts to summarize the main characteristics of data sets and to visualize them through […].
Dataiku
NOVEMBER 2, 2021
First, who is the Lab? The Lab is a key part of Dataiku’s research and development processes. From research in causal inference, dataset shift, and active learning to hands-on projects with data scientists and engineers, the Lab is busy at work establishing eminence in the machine learning community as well as helping Dataiku establish itself at the forefront of the field.
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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.
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