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 Scikit-learn, or sklearn, is the Swiss Army Knife of machine learning libraries Learn key sklearn hacks, tips, and tricks to master the library. The post 7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science appeared first on Analytics Vidhya.
In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.
Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty.
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 Work on your data science skills using these open source projects These open-source data science projects cover a broad range of topics, from. The post 6 Open Source Data Science Projects to Try at Home! appeared first on Analytics Vidhya.
Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic. This post describes an analytics prototype to build an early warning system for COVID-19.
The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy. If service and results are substandard or wrong, the reputation of the company can more quickly than ever […].
The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy. If service and results are substandard or wrong, the reputation of the company can more quickly than ever […].
Setiap hari, kita menjawab pertanyaan tentang skill seorang data analyst. Beberapa orang bertanya kepada saya, ” Saya cuma tahu cara menggunakan Excel dan cara membuat grafik analisis sejak saya mulai. Menurut saya, data analyst nampaknya cuma menganalisis data bisnis dan saya tidak tahu bagaimana cara meningkatkan skill saya.” Dari Google.
Introduction I had the pleasure of volunteering for ICLR 2020 last week. ICLR, short for International Conference on Learning Representations, is one of the. The post Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow) appeared first on Analytics Vidhya.
Teradata's Board of Directors has selected the company's next President and Chief Executive Officer: Steve McMillan. Read more from interim President and CEO, Vic Lund.
This is a personal blog and I’m sharing these details here to promote understanding and show empathy during these challenging times. I’m a Microsoft MVP, and have been one for nine years. I’m also a Microsoft Regional Director. I’m also a single mother, a daughter, a friend, and a sister. This past year has been challenging for me in every way possible.
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
Dalam kerjaan sehari-hari, ketika dihadapkan kepada pembuatan tabel atau grafik ataupun analisis data, Anda kemungkinan akan memilih Excel. Tapi saya juga melihat banyak orang yang kebingungan dalam rumitnya deep learning Excel dan ketidakefisiennya dalam memproses big data. Faktanya, seorang business analyst profesional harusnya mahir dalam menggunakan berbagai software pembuat laporan (Excel/ QlikView/ Tableau/ FineReport) dan juga mahir dalam membuat berbagai laporan yang berbeda.
The Complex yet Powerful World of DateTime in Data Science I still remember coming across my first DateTime variable when I was learning Python. The post All you Should Know About Datetime Variables in Python and Pandas appeared first on Analytics Vidhya.
The business of land casinos. Over the past two decades, online casinos have evolved into one of the most lucrative businesses on the planet. This has also meant that land casinos need to relook at the way they increase their business to beat the competition of online gaming and casinos. Land casinos now, more than ever, need to focus on how to get customer footfall and how to get repeat customers.
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.
Bagaimana Cara Kerja Grafik Dinamis? Dibuat Dengan FineReport. Gambar diatas adalah dashboard yang dibuat dengan FineReport yang memiliki grafik dinamis. Dengan mengklik posisi pie chart yang bersangkutan, Anda dapat menampilkan data di suatu area yang spesifik. Mari bandingkan data yang dipresentasikan dengan Excel. Apakah Anda rasa tampilannya nampak membosankan dan mati?
Introduction The idea of storytelling is fascinating; to take an idea or an incident, and turn it into a story. It brings the idea. The post The Art of Storytelling in Analytics and Data Science | How to Create Data Stories? appeared first on Analytics Vidhya.
Blog. In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We will feature stories from both builders and leaders who manage these transformations to illustrate workplace trends and what’s coming next. As COVID-19 continues to disrupt operations for businesses worldwide, product teams that do not normally have a work from home culture are being expected to adopt one — and fast.
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 4: COVID-19 | Implications and Impact on Insurance Industry. Listening time: 12 minutes. COVID-19 | Implications and Impact on Insurance Industry. In this episode, Anirban Chaudhury talks about how insurers the world over are grappling with new and unprecedented challenges to balance high financial losses, increasing new premiums, and rising claims.
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.
In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. But the real challenges will be accelerating recovery and crisis-proofing your business to mitigate the impact of “the next big thing.”.
You Scored > 50 Basis your assessment score – we recommend you to join the “Certified Business Analytics program” and learn all about business. The post Business Analytics Assessment Test Results appeared first on Analytics Vidhya.
Data is the fuel, cloud is the vehicle, AI is the destination. The intersection of these three pillars of IT has been the focus of IBM. Through the launch of IBM Cloud Pak for Data , our modern data and AI platform, we have containerized numerous offerings and delivered them as microservices to accelerate client’s journey to AI. Clients have successfully been able to collect, organize and analyze data in order to infuse AI across their business – on any cloud of their choice.
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 3: COVID19 and Changing business landscape in Europe. Listening time: 12 minutes. COVID-19 and Changing business landscape in Europe. In this episode, Monideepa Bhattacharya discusses the impact of COVID19 on the business landscape in Europe. She feels while the short-term focus will be on crisis-management and survival, businesses will increasingly turn to intelligent automation across sectors once they start recovering.
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!
Everything Changes. COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. Every decision by every executive leader need information: What investments to furlough or delay, or accelerate? What initiatives to curtail, cancel or double down with?
Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. If you prefer video, you can catch the video here. How can you differentiate the different opportunities to store your data in Azure? Now, it may not sound that interesting, but it’s crucial; if you don’t have your data, then you don’t have your business.
As we grow smarter and more sophisticated, thanks to rapidly enhancing technological innovations, enterprise data management and analytics have to keep pace to ensure organizations continue to remain effective and data- and insights-driven.
To successfully move from outdated spreadsheet workflows to using integrated financial planning, there are important considerations on this path. In our new two part blog series, we will discuss how the Office of Finance can embark on the path to successful integrated planning. Ensure senior management support. The recognition that old structures in FP&A must be revamped is of course old news, yet many organizations are still struggling with doing the needed revamp.
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.
Many businesses keep their data in silos and employ analytics at a process or departmental level. Centralizing these data silos to create a data mart, warehouse, or lake gives organizations more visibility over operations and results in more accurate analytics that take a wider range of internal and external factors into consideration. Among other things, […].
Many financial firms are increasing their use of AI models because they can represent the real world more accurately, and they can deliver better projections than traditional, rule-based models. But some AI models can add complexity and risk. You can minimize that risk and also streamline the process of model validation by using IBM Cloud Pak for Data , a data and AI platform that includes IBM Watson Studio, Watson Machine Learning, Watson OpenScale and other services.
Blog. Data’s more influential than ever, but just how much data is there? In The Wide World of Data , we dig into astonishing facts and trends about the size and growth of the datasphere, how data is being used, and how it truly makes up the entire world around us. Information about the size and growth of data is abundant. Previously , we collected some of the most hair-raising examples to show just how much of it there is.
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