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.

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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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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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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.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

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.

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Python 396

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.

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Python Data Science Analytics Analytics 358

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 […].

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Data Governance 115

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.

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Data Scientist Data Science 393

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.

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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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Cloud Computing 117

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

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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Tableau Data Visualization Data Science Analytics 113

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.

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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.

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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.

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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

FlowingData

NOVEMBER 3, 2021

Based on five years of data from EPA models, ProPublica mapped areas in the United States where cancer risk is higher due to air pollution : In all, ProPublica identified more than a thousand hot spots of cancer-causing air. They are not equally distributed across the country. A quarter of the 20 hot spots with the highest levels of excess risk are in Texas, and almost all of them are in Southern states known for having weaker environmental regulations.

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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.

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AI AI Machine Learning Machine Learning 386

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.

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Algorithm Analytics Analytics 348

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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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.

Data Science

Dataversity

NOVEMBER 5, 2021

Blockchain is a technology that allows information to be recorded while protecting data against tampering, thereby maintaining integrity. While blockchain records information like a database, it differs from a traditional database in that it stores data in blocks that are linked as chains and are theoretically immutable. Capabilities of Blockchain That Enable or Disable Data […].

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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.

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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.

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Python Data Visualization Data Science Analytics 338

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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AI AI Artificial Intelligence Artificial Intelligence 111

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

Dataversity

NOVEMBER 3, 2021

People today are often rightfully skeptical about sharing their information with companies and service providers. Large-scale data breaches, like the recent exposure of the personal data of 533 million Facebook users, can quickly disillusion consumers and tarnish brand trust. Nevertheless, consumers are required to hand over their personal information each time they sign up for a […].

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Database 98

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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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.

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Smart Data Collective

NOVEMBER 4, 2021

Did you know that the geolocation data market is worth an estimated $12 billion ? It is growing faster as more car companies use geolocation data to provide better services to their customers. This is the era of Big Data. This massive processing of data reveals our tastes, movements and desires. It provides great value for companies and consumers alike.

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Big Data Big Data 107

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

DataRobot

NOVEMBER 1, 2021

Practitioners in the AI space are focused on the speed and accuracy of model predictions. But the end game for the applicability of models is not in the predictions, but the decisions they enable, and predictive models alone don’t ensure better decisions. Organizations evaluate AI projects by whether or not they help organizations make better decisions and achieve better business outcomes.

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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.

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Data Science Machine Learning Machine Learning 271

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 […].

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Deep Learning Deep Learning Python Data Science 327

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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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.