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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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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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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Deep Learning with Python: Second Edition by François Chollet

KDnuggets

Now in print! New edition of the bestselling original by François Chollet.

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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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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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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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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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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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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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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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Zero Trust Mandate: The Realities, Requirements and Roadmap

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.

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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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What to Expect From Your Career Path as a Data Scientist

KDnuggets

Learn about the roles between you and the Director of Data Science.

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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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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

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.

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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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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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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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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 GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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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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Learn Machine Learning 4X Faster by Participating in Competitions

KDnuggets

Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

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A Beginner’s Introduction to starting out with Scala

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Index 1) Introduction 2) Installation 3) Writing code with Scala What is Scala? Scala is a high-level language that combines the paradigms of both functional and object-oriented programming, which makes it powerful. It is used by tech giants like Netflix, Twitter, and […].

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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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Optimizing The Modern Developer Experience with Coder

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.

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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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Fine-Tuning BERT for Tweets Classification with HuggingFace

KDnuggets

In this blog, we used the Hugging Face library to fine-tune BERT on the classification task. We classified tweets related to COVID.

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CONVOLUTIONAL NEURAL NETWORK(CNN)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. To understand Convolutional Neural networks, we first need to know What is Deep Learning? Deep Learning is an emerging field of Machine learning; that is, it is a subset of Machine Learning where learning happens from past examples or experiences with the help of […]. The post CONVOLUTIONAL NEURAL NETWORK(CNN) appeared first on Analytics Vidhya.

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How Data Analytics Can Change the Way In-House Legal Departments Do Business 

Smart Data Collective

Legal analytics is an evolving discipline that is changing the future of the legal profession. Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? How will it change the legal profession? Last year, we published an article on the ways that big law and big data are intersecting. We have had time to observe some major developments of legal analytics over the last year.

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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?