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 4, 2021
Some new research from University of California, Berkeley shades some new light into how to quantify neural networks knowledge.
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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
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.
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: 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
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.
Juice Analytics
NOVEMBER 2, 2021
How to get started with data storytelling? For the beginner — and even for the experienced data analyst or data scientist — data storytelling can be a vague, disorientating concept. This question posted on Reddit is a good example of the interest and confusion about the topic: …which was then followed by this pure-gold response: I hope to make data storytelling a bit more accessible by laying out some of the basic concepts and skills required.
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.
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.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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
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.
Smart Data Collective
NOVEMBER 3, 2021
Artificial intelligence is integral to the design process. Many companies are using AI to create powerful logos and better products. Another area where AI can be fundamentally important is in web design. Web developers are using AI technology to optimize the user experience and execute their designs more quickly. However, there are some mistakes that companies can make when trying to use AI to develop new websites.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
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.
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.
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 […].
Smart Data Collective
OCTOBER 31, 2021
Analytics technology is incredibly important in almost every facet of business. Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others. The e-commerce sector is among those that has relied most heavily on analytics technology. Many e-commerce sites are discovering more innovative ways to apply data analytics.
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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.
Cloudera
NOVEMBER 3, 2021
Have you ever asked a data scientist if they wanted their code to run faster? You would probably get a more varied response asking if the earth is flat. It really isn’t any different from anything else in tech, faster is almost always better. One of the best ways to make a substantial improvement in processing time is to, if you haven’t already, switched from CPUs to GPUs.
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.
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.
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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.
KDnuggets
NOVEMBER 3, 2021
This article looks at neural networks from a Bayesian perspective.
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 […].
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 […].
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.
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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?
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