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In celebration of International Women’s Day, on Wednesday, March 10 women from across Cloudera in America and EMEA came together with an external audience to debate and discuss the state of women. Our transatlantic panel featuring Bianka Racz, Software Engineer; Christine Sherry, Director Critical Incident Response; Dominique Hollins, Director of Culture and Inclusion and Tahmeena Tariq Senior Corporate Counsel, came together to discuss how COVID has changed our expectations of employers, the wo
If you spend a long enough time cleaning and preparing a dataset , chances are you will grow to understand its nuances and behaviors. But once you’ve put in all of that work, how do you communicate the important information to someone who doesn’t have the proper context or the time to familiarize themselves with the nitty gritty details, such as a business stakeholder?
ArticleVideo Book This article was published as a part of the Data Science Blogathon. What are GENERATIVE ADVERESIAL NETWORKS and what are GANs used. The post Why Are Generative Adversarial Networks(GANs) So Famous And How Will GANs Be In The Future? appeared first on Analytics Vidhya.
Organizations are increasingly using data as a strategic asset, which makes data services critical. Huge volumes of data need to be stored, managed, discovered and analyzed. Cloud computing and storage approaches provide enterprises with various capabilities to store and process their data in third-party data centers. The advent of data platforms previously discussed here are essential for organizations to effectively manage their data assets.
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.
How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.
Are you ready to learn how to be a data storyteller, but don’t have enough time to review the many great resources ? Or maybe you don’t have the time to attend a world-class data storytelling workshop ? No problem. Here’s the CliffsNotes version of what it takes to tell stories with data. I’ve condensed down to 12 essential rules/principles, broken into two parts: 1) Thinking like a storyteller; 2) Design principles for data stories.
ArticleVideo Book Introduction In this article, we will be discussing two different types of correlation coefficients i.e. Pearson correlation coefficient and Spearman correlation coefficient. The post Comparison of Pearson and Spearman correlation coefficients appeared first on Analytics Vidhya.
ArticleVideo Book Introduction In this article, we will be discussing two different types of correlation coefficients i.e. Pearson correlation coefficient and Spearman correlation coefficient. The post Comparison of Pearson and Spearman correlation coefficients appeared first on Analytics Vidhya.
From messages in a bottle to the pair of gold-anodized aluminum plaques placed on board of spacecraft Pioneer 10 and Pioneer 11 in the 1970s, how we package information is central to its visibility, durability and usefulness across different environments. And in our digital age, th? way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card.
We are at an interesting time in our industry when it comes to validating models – a crossroads of sorts when you think about it. There is an opportunity for practitioners and leaders to make a real difference by championing proper model validation. That work has to include interpretability and explainability techniques. Explaining how deep neural networks work is hard to do.
We are in the midst of a digital marketing revolution. Consumers are constantly changing: their journeys are more fragmented, their desires are shifting, and their preferences are drifting towards online purchases. Consumers are thus leaving massive digital footprints and organizations need to learn how to take advantage of these footprints to best serve customers in return.
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction This article assumes that you possess a basic knowledge. The post Machine Learning with Python- Gaussian Naive Bayes appeared first on Analytics Vidhya.
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
The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. The test will help you to focus on the things that are meaningful to your organization while honestly assessing how well you are addressing your organization’s needs. Take the […].
Now more than ever, real-estate businesses must keep a close watch on revenue and liquidity. Significant shifts in the commercial real-estate market, the recent flow of populations toward less densely populated areas, and increased government regulation have led to disruption for the industry on a broad scale. In the midst of all this change, managers must deal with the challenges of fluctuating occupancy rates, tightening credit, and new headwinds that make collections more difficult than ever
The Institut Supérieur de Gestion (ISG) is an incredibly dynamic business school based in Paris, with additional locations throughout France. The institution is part of IONIS Education Group , the leading private higher education group in France and home to more than 22,000 alumni. This story highlights ISG’s nano-certificate strategy, including how the institution worked with Dataiku to develop it and how other higher education institutes might start similar programs to develop students’ data s
ArticleVideo Book Objective Transfer learning through Pre-trained models is a time and cost-efficient solution for deep learning problems. Understand the Architecture of Lenet-5 as. The post The Architecture of Lenet-5 appeared first on Analytics Vidhya.
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.
Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].
The four C’s for alerts Context Cogency Communication Control The tendency with reporting, and information dashboard design in particular, is to cram as much information on the page as possible. It is a problem that Avinash Kaushik describes with typical candor : “This one of the core reasons why most dashboards are ’crappy’, i.e. they are data pukes that provide little in terms of context and even less in terms of actionable value.
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Robotics- the futuristic field of work in which machines. The post Understanding Robotics With Python appeared first on Analytics Vidhya.
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.
Nobody saw COVID-19 coming. No machine learning model, no matter how advanced, predicted a global pandemic and all the impacts it would have. This doesn’t mean that models aren’t useful, but it does mean that we should be thinking about new ways of modeling. This blog post will explore the need for rethinking modeling infrastructure to diminish unanticipated events with insights from Jeff McMillan, Chief Analytics and Data Officer for Morgan Stanley Wealth Management, who shared his thoughts in
No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need. This kind of system of organization paves the way for data teams to respond to your business objectives with accuracy and speed – without it, your analysis will always […].
The role of chief data officer (CDO) is becoming essential at forward-thinking organizations — especially those in financial services — according to “ The Evolving Role of the CDO at Financial Organizations: 2021 Chief Data Officer (CDO) Study ” just released by FIMA and sponsored by erwin. The e-guide takes a deep dive into the evolving role of CDOs at financial organizations, tapping into the minds of 100+ financial global financial leaders and C-suite executives to look at the lat
ArticleVideo Book Objective LSTM is a special kind of recurrent neural network capable of handling long-term dependencies. Understand the architecture and working of an. The post Introduction to Long Short Term Memory (LSTM) appeared first on Analytics Vidhya.
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!
“Robots are not going to replace humans; they are going to make their jobs much more humane. Difficult, demeaning, demanding, dangerous, dull – these are the jobs robots will be taking.” – Sabine Hauert If you still think of Artificial Intelligence (AI) as this highly complex invention that is far from being widespread in almost […].
The role of chief data officer (CDO) is becoming essential at forward-thinking organizations — especially those in financial services — according to “ The Evolving Role of the CDO at Financial Organizations: 2021 Chief Data Officer (CDO) Study ” just released by FIMA and sponsored by erwin. The e-guide takes a deep dive into the evolving role of CDOs at financial organizations, tapping into the minds of 100+ financial global financial leaders and C-suite executives to look at the lat
ArticleVideo Book Introduction Deep learning is ubiquitous – whether it’s Computer Vision applications or breakthroughs in the field of Natural Language Processing, we are. The post Improving your Deep Learning model using Model Checkpointing- Part 1 appeared first on Analytics Vidhya.
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.
If you ever dreamed of visiting Japan, the best season is spring, when you can see the bloom of Sakura (the world-famous cherry blossom). However, you might need a little bit of luck. Sakura blooms only for a short period of time; seven days after the flowers open, they already start to scatter. There’s a big chance that you'll buy expensive flights only to miss the blossom period.
by James Taylor, CEO, Decision Management Solutions. If you are working in data science, you may be frustrated with the progress and ROI of your data science and artificial intelligence projects. The struggle is real, and you’re certainly not alone. Recent research conducted by the Alliance Manchester Business School at the University of Manchester and Ivey Business School at Western University identified five common mistakes that prevent companies like yours from getting the highest level of v
The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Multicollinearity is a topic in Machine Learning of which. The post Multicollinearity in Data Science appeared first on Analytics Vidhya.
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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