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.
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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FlowingData
NOVEMBER 5, 2021
Using Consumer Price Index, Alyssa Fowers and Rachel Siegel for The Washington Post show how the prices of everyday things rose since 2019. A set of baseline charts show lines moving up much more than one would hope, due to coronavirus and supply chain issues. Tags: coronavirus , prices , spending , Washington Post.
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.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
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.
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
NOVEMBER 2, 2021
Data analytics technology has become an integral part of organizational management. This is a topic that MQ Shabbir addressed in a study that was published in Springer Open last year. There are a lot of different ways that big data can help companies streamline certain processes and resolve various challenges that they face. The advent of data visualization has made it easier than ever.
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.
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.
Tableau
NOVEMBER 5, 2021
Andy Cotgreave. Technical Evangelist Director, Tableau. Bronwen Boyd. November 6, 2021 - 2:57am. November 6, 2021. Welcome to Best of Tableau Web! In just a few days, we’ll all be watching—and I’ll be co-hosting for the fourth time— Iron Viz , the ultimate visualization showdown, at #Data21. In just 20 minutes, the three finalists, Lisa Trescott, Pradeep Kumar G, and Samuel Parsons, will build their best data visualizations under the watchful eyes of our judges.
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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
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.
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.
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.
FlowingData
NOVEMBER 4, 2021
Valentina D’Efilippo, Arpad Ray, and Duncan Geere visualized and sonified Covid-19 rates and vaccinations in London Under the Microscope. Best viewed with headphones on. Geere on the sound : Here’s how it works. There are two melodic saw wave drones separated by an octave – the higher represents cases, and the lower represents deaths.
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
NOVEMBER 5, 2021
Big data has become highly important for many companies that are trying to maintain a strong competitive edge, which explains why companies are expected to spend over $116 billion on it by 2027. There are many brilliant ways that companies can leverage big data to improve their bottom line. We mentioned the benefits of using big data to better manage financial and HR policies.
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.
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.
The Data Administration Newsletter
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 […].
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
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.
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.
Analytics Vidhya
OCTOBER 30, 2021
This article was published as a part of the Data Science Blogathon Hello there, guys! Good day, everyone! Today we’ll look at an intriguing issue in data pre-processing: how to deal with missing values (which is part of Data Cleaning). So, before we get into the meat of the matter, let’s review some fundamental terminology […]. The post A Complete Guide to Dealing with Missing values in Python appeared first on Analytics Vidhya.
DeepMind
NOVEMBER 1, 2021
When people picture a world with artificial general intelligence (AGI), robots are more likely to come to mind than enabling solutions to society’s most intractable problems. But I believe the latter is much closer to the truth. AI is already enabling huge leaps in tackling fundamental challenges: from solving protein folding to predicting accurate weather patterns, scientists are increasingly using AI to deduce the rules and principles that underpin highly complex real-world domains - ones they
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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.
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.
KDnuggets
NOVEMBER 4, 2021
Some new research from University of California, Berkeley shades some new light into how to quantify neural networks knowledge.
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.
FlowingData
NOVEMBER 1, 2021
The USDA recommends that you cook your chicken to at least 165°F to kill salmonella bacteria (time is also a factor ), which appears to be more common than I would hope. ProPublica has a Chicken Checker so that you can find out. Look up the poultry product number on your pack of chicken, and you can see what percentage of USDA samples from the respective processing plant had salmonella.
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.
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.
KDnuggets
NOVEMBER 1, 2021
Also: What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; Learn To Reproduce Papers: Beginner’s Guide; 365 Data Science courses free until 18 November; A Guide to 14 Different Data Science Jobs.
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 […].
Tableau
NOVEMBER 5, 2021
Andy Cotgreave. Technical Evangelist Director, Tableau. Bronwen Boyd. November 6, 2021 - 2:57am. November 6, 2021. Welcome to Best of Tableau Web! In just a few days, we’ll all be watching—and I’ll be co-hosting for the fourth time— Iron Viz , the ultimate visualization showdown, at Tableau Conference. In just 20 minutes, the three finalists, Lisa Trescott, Pradeep Kumar G, and Samuel Parsons, will build their best data visualizations under the watchful eyes of our judges.
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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