This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Overview Git and GitHub are essential tools for any data science professional who wants to code Learn the value and the in’s and out’s. The post New to Git and GitHub? This Essential Beginners Guide is for you appeared first on Analytics Vidhya.
Niche or industry aside, it’s likely that your customers are the beating heart of your entire operation. To ensure that your customer-facing communications and efforts are constantly improving and evolving, investing in customer relationship management (CRM) is vital. To win on today’s increasingly competitive digital battlefield, getting under the skin of your customers’ most burning needs, behaviors, and preferences while providing direct solutions to their pain points will thrust you ahead of
I have written articles in many places. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them. Also included are some interviews in which I provided detailed answers to a variety of questions. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter.
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.
Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya.
Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. During times of crises, many of the less critical programs of work may be put on hold however ground-breaking they are. Organizations need to understand what the most critical operational activities are and the most impactful projects that need to proceed.
If you set out to build a boil-the-ocean business case for why to invest in data, analytics and insights initiatives – stop. Use your precious time to instead focus on prioritizing the investment categories across where you are in your business insights maturity. Because they will yield tangible benefits – both top and bottom-line benefits. […].
If you set out to build a boil-the-ocean business case for why to invest in data, analytics and insights initiatives – stop. Use your precious time to instead focus on prioritizing the investment categories across where you are in your business insights maturity. Because they will yield tangible benefits – both top and bottom-line benefits. […].
With the coronavirus outbreak, customer experience teams across the globe have had to rapidly adapt amid ticket spikes, customer cancellations, market volatility, and increased uncertainty. Each week brought new challenges , and business simply wasn't business as usual. Most teams responding to customers are now in a work from home environment, putting additional strain on their ability to respond to customers effectively.
Overview Learn how to build your own Social Distancing Tool using your Deep Learning and Computer Vision skills Understand the State-of-the-Art architectures (SOTA) for. The post Your Social Distancing Detection Tool: How to Build One using your Deep Learning Skills appeared first on Analytics Vidhya.
Is it possible to listen without opinion, judgement or stories [i]? In this coronavirus pandemic, many people have strong opinions, judgement, and stories. For example: — “This is ridiculous, and we are overacting.”— “We have not been careful enough and are not being careful enough. This is serious!”— “We have shut down our economy over […].
With COVID-19 and the current market uncertainty, every business leader is under unprecedented pressure to cut their expenses while still ensuring business continuity - no one, more so than the CIO. Enabling this new reality of virtual collaboration, automation and self-service while supporting the increased focus on data, analytics and AI is forcing IT leaders to reduce complexity and consolidate their offerings.
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
Getting started with Spark & batch processing frameworks What you need to know before diving into big data processing with Apache Spark and other frameworks. When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program. Worse, documentation seemed sparse and wasn’t helpful to beginners.
Overview Optical Character Recognition (OCR) is a widely used system in the computer vision space Learn how to build your own OCR for a. The post Build your own Optical Character Recognition (OCR) System using Google’s Tesseract and OpenCV appeared first on Analytics Vidhya.
Operationalizing world class analytics into day-to-day processes can help solve some of the greatest challenges in the telecommunications industry. Find out more.
Remote work is the ultimate litmus test of the data organization’s robustness. Many inefficiencies may go unnoticed when working in the office that ultimately lead to significant loss of time or of project relevance, but these issues can at least be partially mitigated by informal discussions and water cooler interactions. The Challenges of Remote Data Science.
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.
If your organization uses data—and even if it doesn’t—you have a data culture. Think about the ways that you and your colleagues interact with and discuss data. Are people afraid of it? Do they trust it? Is it spoken about as a driver of business and competitive edge or just the exhaust of your existing […].
Overview Conditional formatting is a useful and powerful feature in Microsoft Excel that you should master We’ll discuss 5 handy conditional formatting tricks here. The post 5 Handy Excel Tricks for Conditional Formatting Every Analyst Should Know appeared first on Analytics Vidhya.
In the airline industry, timing and synchronization are everything when it comes to the customer experience. Mitigating unforeseen circumstances against customer expectations and good old supply and demand are all issues well within the wheelhouse of AI’s predictive capabilities. It’s no wonder that Deutsche Lufthansa AG, Germany’s largest airline, recognized early on that with the right data and AI strategy, it could enhance the customer experience and better empower its employees while achievi
When building an Enterprise AI strategy that is fit to carry the business through economic highs and lows, it’s critical to have systems for monitoring models in production and to be able to quickly introduce, test, train, and implement new models in order to shift strategies or adapt to changing environments on a dime. Enter: MLOps.
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.
For the past few years, enterprise software companies have been steadily increasing efforts to move their customers to the cloud. While they spend a great deal of time touting the benefits of the cloud for their customers, they clearly see advantages for themselves as well: increasing revenue with more stable and predictable revenue streams, higher visibility to how customers are using their product, the ability to more easily push fixes down to customer environments, and more.
Iterators – One at a Time! Python is a beautiful programming language. I love the flexibility and the incredible functionality it provides. I love. The post What are Python Iterators and Generators? Programming Concepts Every Data Science Professional Should Know appeared first on Analytics Vidhya.
Hadoop is one of the most mature and well-known open-source big data frameworks on the market. Sprung from the concepts described in a paper about a distributed file system created at Google and implementing the MapReduce algorithm made famous by Google, Hadoop was first released by the open-source community in 2006. Fourteen years later, there are quite a number of Hadoop clusters in operation across many companies, though fewer companies are probably creating new Hadoop clusters?
Drill down and drill through are two analysis features often used in reports. Today, let’s discover their powerful features and different use cases. . Drill Down Report . A drill-down report allows the user to navigate the data from a comprehensive view of the data to a more detailed one. It assumes a hierarchical relationship between data. Therefore, the user can be taken to a more granular level of the data by clicking a specific visualization element on the web 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!
Financial professionals in higher education, whether private or public, face additional challenges when budget planning. This is because their budgets are not just based on historical data. Projected student enrollment, grade performance, alumni donations, and scholarships can influence the forecast for the fiscal year’s budget. A more agile, comprehensive, and efficient budget planning process is needed to better utilize finance resources.
COVID-19 is a disruptive event affecting both demand and supply at a global level and at unprecedented speed. Here's how the automotive industry should respond.
Distributed computing frameworks often require the creation of a set of machines that work with one another to perform some sort of large-scale data processing. This cluster of computing resources can be provided through a variety of services. For instance, Amazon Web Services offers a service called EMR, which allows the user to quickly spin up a Spark cluster and configure how many machines will make up the cluster.
Dulu ketika pelaporan data terdiri dari satu tumpukan angka, mungkin kita tidak bisa membayangkan tool modern yang telah merevolusi pelaporan data: indah, nyaman, dan terintegrasi dengan berbagai sistem. Saat ini, laporan data telah menjadi dasar dalam pembuatan keputusan dan juga terkait erat dengan analisis data dan intelijen bisnis untuk membantu kita mendapatkan gambaran yang lebih jelas mengenai bisnis kita.
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.
The COVID-19 pandemic has ignited a humanitarian crisis and impacted businesses worldwide. Government interventions in response to the virus have forced us to change how we work. And with every industry across the globe affected, the extent of change to consider can be overwhelming. However, even amid all the uncertainty of the pandemic, change is not a novel concept for successful businesses.
“The digital world is here but our old companies are simply not yet designed for digital.” Jeanne Ross (Designed for Digital) Your business may need to develop a new digital platform to replace your existing application-centric IT solution. Your current application portfolio may have reached a size and level of complexity that is expensive and […].
The analytic hierarchy process (AHP) or pairwise comparison is a framework for decision making, rooted in mathematics and psychology. The widely used technique was created by Thomas L. Saaty , a Distinguished University Professor at the University of Pittsburgh, in the 1970s. Saaty recognized that making decisions is complicated. Knowing how to make the “right” decision is even harder.
Dalam tren big data saat ini, visualisasi data telah menjadi mode tampilan interaktif yang dikagumi semua orang dan dashboard banyak digunakan untuk menampilkan kinerja bisnis di perusahaan. Jika kita dapat memahami dan menguasai teknologi ini, saya yakin keahlian ini akan sangat bermanfaat didalam karir kita. Jadi bagaimana caranya membuat dashboard yang baik, terutama untuk pemula?
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?
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content