Sat.Jan 22, 2022 - Fri.Jan 28, 2022

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3 Reasons Why Data Scientists Should Use LightGBM

KDnuggets

There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.

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Introductory note on Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Artificial Intelligence, deep learning, machine learning?—?whatever you’re doing if you don’t understand it?—?learn it. Because otherwise you’re going to be a dinosaur within 3 years. -Mark Cuban This statement from Mark Cuban might sound drastic – but its message is […].

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Use the Cloud More Creatively

Data Virtualization

Reading Time: 3 minutes Most organizations are moving their IT systems to the cloud. In most cases, they are performing these migrations to increase the scalability of both processing and storage, and generally to free the organization from the limitations of on-premises systems. However, The post Use the Cloud More Creatively appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Fire Your Super-Smart Data Consultants with DataOps

DataKitchen

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. Perhaps it is no surprise that the average tenure of a CDO or CAO is only about 2.5 years.

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15 Modern Use Cases for Enterprise Business Intelligence

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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The Best Python Courses: An Analysis Summary

KDnuggets

What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.

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A Basic Guide To Kubernetes in Production

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […].

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Dashboard Don’ts: My 10 Worst Mistakes from Past Projects

Depict Data Studio

Are you working on a dashboard at your workplace? Maybe you’re making a brand-new dashboard? Maybe you’re revamping an existing dashboard to bring it up to speed? Maybe you don’t have a dashboard yet, and you’re wondering if you need one? In this article, you’ll see my 10 worst mistakes from past dashboards. I’ve made all these mistakes (and more…) over the past 15 years.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.

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Underrated Apriori Algorithm Based Unsupervised Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hello there, learners. I hope everyone is doing well. This pandemic provides us with more opportunities to learn new topics through the work-from-home concept, allowing us to devote more time to doing so. This prompted me to consider some mundane but intriguing topics. […].

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Artificial Intelligence Is Influencing Everyday Lives for the Better

Smart Data Collective

Artificial intelligence is having a larger impact on our lives than you may think. Although only 38% of businesses use AI in some form , 90% of the most successful companies utilize some form of AI. You may be wondering how significant AI really is. To some, AI may seem like any other over-hyped buzzword that has never truly manifested in the day-to-day human life.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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How to Set Up Your Data Science Stack on a Budget

KDnuggets

Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.

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Three Ways Integrated Data Can Deliver Outstanding Customer Experience

Teradata

The use of integrated data to restore customer confidence will be big in 2022. Building a customer insights foundation should be high on the to-do list for retail & CPG businesses this year.

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Deploying ML Models Using Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

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Worst Data Security Threats Remote Workers Can’t Ignore

Smart Data Collective

Data security is becoming a greater concern for companies all over the world. The pandemic has contributed to these issues. A number of hackers started targeting companies for data breaches during the pandemic, partly because so many employees were working remotely. The frequency of data breaches is not likely to subside anytime soon. Many companies are making work-from-home models permanent, which means data threats are going to be as common as ever.

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Marketing Operations in 2025: A New Framework for Success

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.

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Getting Started Cleaning Data

KDnuggets

In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.

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Polars - A lightning fast DataFrames library

Domino Data Lab

We have previously talked about the challenges that the latest SOTA models present in terms of computational complexity. We've also talked about frameworks like Spark, Dask, and Ray , and how they help address this challenge using parallelization and GPU acceleration.

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A Detailed Guide for Data Handling Techniques in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and […].

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Optimizing Your IT Budget While Running a Data-Centric Company

Smart Data Collective

Big data technology has become a very important aspect of our lives. More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. Unfortunately, some businesses have made poor decisions when instituting a data strategy. In a sense, despite its tremendous value, big data has become a bit of a bubble for many companies.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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R vs Python (Again): A Human Factor Perspective

KDnuggets

This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.

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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on

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A Comprehensive Guide on Neo4j

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Today, most organizations invest more than ever in their resources to finely leverage graph analytics to extract valuable insights from massive, complex volumes of data. For those who don’t know, Neo4j is one of the most popular graph databases that gives developers and data […].

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Editing Guide for AI-Driven YouTube Video Creators

Smart Data Collective

There are a lot of benefits of using artificial intelligence in 2022. One of the biggest reasons that many people use AI is to improve their marketing strategies. A recent survey found that 64% of marketers reported that data-driven marketing strategies are more important than ever. One of the biggest reasons big data is so useful is that it helps supplement AI technology.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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KDnuggets™ News 22:n04, Jan 26: The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses

KDnuggets

The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Artificial Intelligence Project Ideas for 2022; The Best Python Courses: An Analysis Summary; Top Stories, Jan 17-23: The High Paying Side Hustles for Data Scientists.

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Watch the Eleventh Video in Our Snowflake Tutorial Series

CDW Research Hub

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Sirius’ Snowflake Immersion Days video series are virtual learning sessions designed to provide technical, hands-on training for data engineers and data analysts.

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MLOps vs DevOps: Let’s Understand the Differences?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be going through two concepts MLOps and DevOps. We will first try to get through their basics and then we will explore the differences between them. As you might be aware in DevOps we try to bring together […]. The post MLOps vs DevOps: Let’s Understand the Differences?

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Businesses Find Brilliant New Ways to Leverage the Power of Data

Smart Data Collective

Big data is undoubtedly changing the future of modern business. One study from KPMG found that 70% of businesses feel their big data initiatives are going to be invaluable to the future of their business model. How they choose to leverage their data is going to be vital to their future success. Smart Businesses Search for New Ways to Leverage Big Data.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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TensorFlow for Computer Vision – Transfer Learning Made Easy

KDnuggets

In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.

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Top 4 Ways to Improve Storage Performance and Increase Agility

CDW Research Hub

Understanding storage performance is a significant factor in determining the efficiency and longevity of an organization’s infrastructure. In today’s data-driven world, your storage architecture must be able to store, protect and manage all sources and types of data while scaling to manage the exponential growth of data created by IoT, videos, photos, files, and apps.

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Feedforward Neural Network: Its Layers, Functions, and Importance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons, are the focus of this article. For example, Convolutional and Recurrent Neural Networks (which are used extensively in computer vision applications) are based on these networks.

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Securing Venture Capital for Your New Cloud Startup

Smart Data Collective

Are you trying to grow or launch a cloud technology startup? You won’t be able to do so without a significant amount of capital. Recent news reports on Infracost can give you some insights on the cost of launching a cloud startup. This company raised over $2.2 million in funding to grow its operations. Of course, they had to spend a lot more money to start their business in the first place.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.