Sat.Sep 03, 2022 - Fri.Sep 09, 2022

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SQL vs NoSQL: 7 Key Takeaways

KDnuggets

People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

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Basic Concept Behind Apache Hive and Elasticsearch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times. That’s why I want to tell you about my experience with two powerful tools they use: Apache Hive and Elasticsearch. […].

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Artificial intelligence as the cornerstone of emerging technologies

Dataconomy

Modernizing industries depend heavily on emerging technologies. These technologies, like artificial intelligence, are primarily impactful for the manufacturing, energy, and transportation sectors. Enterprises are being transformed into a digital environment with emerging technologies. Every time the phrase “technology” is used, something new is always being developed or put into use.

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Migration Guidelines for Data-Driven Ecommerce Companies

Smart Data Collective

Data-driven ecommerce companies have a strong advantage over their competitors. As we stated before, data-driven marketing strategies are extremely valuable for ecommerce companies. What kind of ROI can big data offer for the ecommerce sector? One study showed that big data helps companies in all sectors increase profitability by 60%. Ecommerce companies can increase their profit margins even more by investing in big data, because they have access to more digital information that they can use to

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Free Python for Data Science Course

KDnuggets

Ready to learn how to use Python for data science? This free course has got you covered!

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Top 7 Cloud Computing Prerequisites to Learn in 2022

Analytics Vidhya

Introduction If I have to place the finger at any lucrative and promising domains ruling the trending job market at the moment, it has to be Cloud Computing. The scope of cloud computing is only moving faster, strength by strength, and has a brighter future ahead for everyone. There is a surging need for medium […]. The post Top 7 Cloud Computing Prerequisites to Learn in 2022 appeared first on Analytics Vidhya.

More Trending

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Can Data Mining Aid with Off-Page SEO Strategies?

Smart Data Collective

Data mining technology has led to some important breakthroughs in modern marketing. Even major companies like HubSpot have talked extensively about the benefits of using data mining for marketing. One of the most important ways that companies can use data mining in their marketing strategies is with SEO. Data mining is especially useful in the context of offsite SEO.

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Everything You Need to Know About Data Lakehouses

KDnuggets

Learn everything you need to know about data lakehouses.

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The DataHour: Your Upcoming Data Science Learnings!

Analytics Vidhya

Fellow Data Science Enthusiasts, The only way to move forward in your career ladder is by learning and unlearning. And the best way to do that is by adding some new skills to your CV. And Analytics Vidhya comes forward to help you with this. With the new learning topics, get ready to brush up […]. The post The DataHour: Your Upcoming Data Science Learnings!

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This ML algorithm identifies undiagnosable cancers

Dataconomy

A machine learning approach developed by researchers at MIT’s Koch Institute and Massachusetts General Hospital (MGH) may aid in cancer diagnosis of the unknown primary by examining gene expression programs associated with early cell development and differentiation. The scientists focused the model on indicators of disrupted developmental pathways in cancer cells to.

ML 172
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Roles of Python Developer in Data Science Teams

Smart Data Collective

Data science is a very complex field that requires the insights of professionals from many different disciplines. One of the fields of professionals that are so important for data science projects are Python developers. What is the Python programming language? Why is it so important in the data science profession ? What Is Python? Python is a powerful programming language that is widely used in many different industries today.

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Visualizing Your Confusion Matrix in Scikit-learn

KDnuggets

Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.

ML 361
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Machine learning Pipeline in Pyspark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn about machine learning using Spark. Our previous articles discussed Spark databases, installation, and working of Spark in Python. If you haven’t read it yet, here is the link. In this article, we will mainly talk about […]. The post Machine learning Pipeline in Pyspark appeared first on Analytics Vidhya.

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U.S. cracks down on AI chip export to China

Dataconomy

Nvidia said on Wednesday that US officials had warned it to cease shipping two key AI chips to China for artificial intelligence work, a move that may impair Chinese enterprises’ capacity to execute advanced work such as image recognition and undermine Nvidia’s operations in the nation. After hours, Nvidia’s shares.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Emissions from fires in the Arctic

FlowingData

Reuters reported on the fires in the Arctic and the relatively high levels of carbon emissions they release in the atmosphere. The map above shows carbon emissions from wildfire in 2021, and the chart on the right shows totals by latitude, which emphasizes the geography in the north. The illustrations, which I appreciate and have become more of a norm in Reuters pieces, round out the maps and charts with more context: Tags: Arctic , carbon , Reuters , wildfire.

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Machine Learning Algorithms – What, Why, and How?

KDnuggets

This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.

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Compute Services Available on Microsoft Azure

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Applications in Azure run on compute services, which determine how they are performed and allow cloud-based applications to be run on-demand. Resources are available on request within a few minutes or seconds, and you only pay for what you use. We will […]. The post Compute Services Available on Microsoft Azure appeared first on Analytics Vidhya.

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How an IT Help Desk and Other Tools Can Reduce IT Support Tickets

Smart Data Collective

It’s probably impossible to run a business without receiving at least a few support tickets. But if your firm is constantly overwhelmed by so many tickets that it feels like you’re drowning, that’s not normal. There are ways to reduce the number of IT support tickets you receive and bring them down to a normal level. Here’s how. The Importance of Reducing Support Ticket Volume.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Writing Robust Tests for Data & Machine Learning Pipelines

Eugene Yan

Or why I should write fewer integration tests.

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Everything You’ve Ever Wanted to Know About Machine Learning

KDnuggets

Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.

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Elastic Load Balancer in AWS and its Benefits

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The cloud trend has gained tremendous importance in the technology industry and the field of science in recent years. The most important aspect of cloud computing is the on-demand application delivery paradigm from the cloud customer’s perspective. As a result, cloud services […].

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AI Technology Helps eCommerce Brands Optimize for Mobile

Smart Data Collective

Not unless you live in the most remote part of this world or somewhere underground, chances are that you have heard something about Artificial Intelligence (AI). But how does AI technology help eCommerce brands optimize for mobile? Artificial Intelligence is becoming a big part of how different industries operate. The popularity of smart devices, security checks, research in the healthcare industry, and self-checkout registers are just a few examples of areas where AI is prominent.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Color palette generator

FlowingData

In the never-ending quest to find the perfect color scheme for any given situation at any given moment, Coolors is another set of tools to find the right shades for your application. The twist is that there’s a generator that shows you schemes based on inputs, such as a certain hue or a photograph. There is also a list of trending palettes. Tags: color , generator.

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How to build a model to find the most impactful paths in user journeys

KDnuggets

In this how-to, we’ll build a model to uncover which paths in user journeys have the biggest impact on product goals (e.g. conversion). You can use it to improve products or optimize marketing campaigns, or as a base for deeper user behavior analyses.

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Using Docker to Create a Cassandra Cluster

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the Big Data space, companies like Amazon, Twitter, Facebook, Google, etc., collect terabytes and petabytes of user data that must be handled efficiently. It is seen that RDBMS(Relational DataBase Management System) does not offer an optimal solution for handling huge volumes […].

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Tips To Improve App UX with Advanced Mobile Analytics?

Smart Data Collective

Analytics technology is having a huge impact on many aspects of modern business. One of the most important applications of analytics is with improving the user experience. User experience is a key part of building a successful mobile app. You cannot build a successful business with your app if it doesn’t offer a smooth experience to users. So, what are the factors that contribute to your app’s user experience?

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How to Achieve High-Accuracy Results When Using LLMs

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

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Images behind the generated images from Stable Diffusion

FlowingData

People have been having fun with the text-to-image generators lately. Enter a description, and the AI churns out believable and sometimes detailed images that match the input. The reason these systems work is because the models were trained on a lot of data, in the form of images. Andy Baio and Simon Willison made a tool to browse a subset of this data behind the recently released Stable Diffusion.

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24 A/B Testing Interview Questions in Data Science Interviews and How to Crack Them

KDnuggets

Here’s everything you need to know about A/B testing interview questions in data science interviews.

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AWS Elastic BeanStalk Processing and its Components

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you are a beginner or have little time, configuring the environment for your application may be too complicated and time-consuming. You need to consider monitoring, logs, security groups, VMs, backups, etc. You can make a mistake that compromises your application and […].

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What Role Does Breach and Attack Simulation Play in Data Protection?

Smart Data Collective

Data security and cybersecurity have often been treated as two fields separate from one another. In reality, they are the two sides of the same coin. Both have a major role in protecting information that’s circling within an organization. Cybersecurity is focused on improving the systems, protocols, and tools that guard the company (and information) against hacking exploits.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!