Sat.Feb 19, 2022 - Fri.Feb 25, 2022

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Emotions Using NLP | Based on Classifying Text

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Emotions are expressed through words, gestures, expressions, and with the ease of accessibility of social media today, emotions can now, also be expressed through tweets and Instagram/ WhatsApp stories. Through this article, we would try to analyze the underlying emotions of tweets posted […].

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Improving the State of Analytics in Organizations

David Menninger's Analyst Perspectives

Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness.

Analytics 340
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The #1 Thing You Need to Succeed With AI

Dataiku

To get your AI initiatives off the ground, you don’t need to use the fanciest algorithms and machine learning techniques available. You don’t need to find that one, perfect use case. You don’t even need the cleanest and highest-quality datasets (at least, not to start). What you need to succeed with AI is, first and foremost, people.

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Understanding Data Drill Down And Drill Through Analysis And Their Role In Efficient Reporting

datapine

Table of Contents. 1) What Is A Drill Down? 2) What Is A Drill Through? 3) The Role Of Data Drilling In Reporting. 4) Drill Down & Drill Through Reporting Examples. It is no secret that the business world is becoming more data-driven by the minute. Every day, more and more decision-makers rely on data coming from multiple sources to make informed strategic decisions.

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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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Learn Mobile Price Prediction Through Four Classification Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Mobile phones come in all sorts of prices, features, specifications and all. Price estimation and prediction is an important part of consumer strategy. Deciding on the correct price of a product is very important for the market success of a product. A new […]. The post Learn Mobile Price Prediction Through Four Classification Algorithms appeared first on Analytics Vidhya.

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Telling a Great Data Story: A Visualization Decision Tree

KDnuggets

Pick your visualizations strategically. They need to tell a story.

More Trending

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Building the Geospatial Join Recipe in Dataiku

Dataiku

You may have not even noticed, but geospatial data has become an indispensable part of our life. We use maps and GPS trackers almost every day — generating or consuming lots of data with coordinates in one way or another. Therefore, leveraging data science to analyze this data is of interest for many individuals and organizations. Is this the case for you?

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Comparing R and Tableau for Data Visualisation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. There has been a debate in the industry between R and Tableau. Which is better is the question. Let us see this in today’s article. Source – Author What is Data Visualization? Data visualization is an interdisciplinary field that uses visual elements […]. The post Comparing R and Tableau for Data Visualisation appeared first on Analytics Vidhya.

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Vanishing Gradient Problem, Explained

KDnuggets

This blog post aims to describe the vanishing gradient problem and explain how use of the sigmoid function resulted in it.

IT 160
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10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies. Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company.

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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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Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. This unprecedented level of big data workloads hasn’t come without its fair share of challenges.

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Search Engines Using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. An end-to-end guide on building Information Retrieval system using NLP […]. The post Search Engines Using Deep Learning appeared first on Analytics Vidhya.

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Essential Machine Learning Algorithms: A Beginner’s Guide

KDnuggets

Machine Learning as a technology, ensures that our current gadgets and their software get smarter by the day. Here are the algorithms that you ought to know about to understand Machine Learning’s varied and extensive functionalities and their effectiveness.

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The Cloud is Disrupting Project Management in the Construction Industry

Smart Data Collective

Cloud technology is becoming more important in almost every industry. Global companies are projected to spend over $947 billion on cloud computing services by 2026. More industries are scaling their investment in cloud services as they realize its many benefits. The construction sector is no exception. There are many reasons the cloud is disrupting the construction sector.

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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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Snowflake Migration Best Practices

Octopai

High-level insights. Low cost. That’s the data dream, right? Deciding to migrate your data from legacy, on-prem databases to a cloud-based data warehouse like Snowflake is often a step in the right direction. But just a step in the right direction won’t get you to the finish line. How you prepare for your Snowflake migration, how you conduct the migration, and how you leverage your new data warehouse post-migration: that’s what will get you to your dreamy data paradise.

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Building ML Model in AWS Sagemaker

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image: [link] Introduction Artificial Intelligence & Machine learning is the most exciting and disruptive area in the current era. AI/ML has become an integral part of research and innovations. The main objective of the AI system is to solve real-world problems where […].

Modeling 347
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Design Patterns in Machine Learning for MLOps

KDnuggets

This article outlines some of the most common design patterns encountered when creating successful Machine Learning solutions.

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6 Tremendous Benefits of Big Data for Financial Management

Smart Data Collective

More companies are investing in big data than ever these days. Unfortunately, many companies still don’t appreciate the benefits that it provides. One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading.

Big Data 131
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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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Migrating Data to the Cloud: 4 Critical Success Factors

Octopai

Out with the old, in with the new. That means you should leave that old legacy system in the dust and migrate to a brand-spanking-new cloud-based data system as soon as possible, right? Well, maybe. There’s no denying the immense benefits that cloud computing can bring to data management: easier scalability, reduced cost of IT operations, improved performance… the list goes on.

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A Comprehensive Guide on Hyperparameter Tuning and its Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). Make it simple, for every […].

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The Complete Collection of Data Science Cheat Sheets – Part 2

KDnuggets

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

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Database Activity Monitoring – A Security Investment That Pays Off

Smart Data Collective

Since databases store companies’ valuable digital assets and corporate secrets, they are on the receiving end of quite a few cyber-attack vectors these days. How can database activity monitoring (DAM) tools help avoid these threats? What are the ties between DAM and data loss prevention (DLP) systems? Does DAM need a user behavior analytics (UBA) module?

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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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The Future Of BI — No, It’s Not As Simple As “The Dashboards Are Dead”

Boris Evelson

Over the last couple of decades, we’ve been observing a seemingly impenetrable barrier: No more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so. The other 80% still rely on the data and analytics skills of those 20% who do use BI applications. While the majority […].

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Deep Learning vs Machine Learning for Regression

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is the subfield of machine learning which uses a set of neurons organized in layers. A deep learning model consists of three layers: the input layer, the output layer, and the hidden layers. Deep learning offers several advantages over popular machine […].

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What Is the Difference Between SQL and Object-Relational Mapping (ORM)?

KDnuggets

Object-relational mapping, or ORM, is a technique that allows you to interact with databases using the object-oriented paradigm of the programming language of your choosing. How is that different from structured query language, though, and when do you use them?

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Benefits of PoLP in Stopping Data-Driven Cyberattacks

Smart Data Collective

Big data has made the field of cybersecurity a lot more complicated. On the one hand, many cybersecurity professionals are using big data technology to fortify their defenses and more easily respond to cybersecurity threats. Unfortunately, hackers have access to the same technology. They are using big data to orchestrate more viscous attacks than ever before.

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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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Cloudera: Enabling the Cloud-Native, Data-Driven Techco

Cloudera

The telecommunications industry has been doing well since the pandemic started (not that many would notice). Revenues have remained relatively stable, while consumption has gone up, as virtual engagement has become the primary mode of operations for many businesses (and families!) In the mean-time, digital transformation has been accelerating both as a means to respond to the pandemic, and as a mechanism to drive costs down further, allowing for margin growth.

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Sentiment Analysis of IMDB Reviews with NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – Insofe […]. The post Sentiment Analysis of IMDB Reviews with NLP appeared first on Analytics Vidhya.

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Orchestrate a Data Science Project in Python With Prefect

KDnuggets

Learn how to optimize your data science workflow in a few lines of code.

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10 Ways Organizations Can Prepare for Changes Brought on by the IoT

Smart Data Collective

The Internet of Things is becoming a big deal for people in countless professions. It is projected that there will be over 75 billion IoT devices by the year 2025. The IoT is creating a lot of new changes that we have to prepare for. There are many benefits of living in a much more connected world. However, the IoT is also driving a number of new challenges as well.

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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?