Analytics Vidhya
OCTOBER 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction Neural networks (Artificial Neural Networks) are methods or algorithms that mimic a human brain’s operations to solve a complex problem that a normal algorithm can’t solve. A Perceptron in neural networks is a unit or algorithm which takes input values, weights, and […].
KDnuggets
OCTOBER 17, 2022
Sparse features can cause problems like overfitting and suboptimal results in learning models, and understanding why this happens is crucial when developing models. Multiple methods, including dimensionality reduction, are available to overcome issues due to sparse features.
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Analytics Vidhya
OCTOBER 17, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The GoogleAI researchers presented a frame interpolation algorithm synthesising a sharp slow-motion video […]. The post FILM Model: Scale-Agnostic NN Architecture for Creating High-Quality Slow-Motion Videos appeared first on Analytics Vidhya.
CIO Business Intelligence
OCTOBER 17, 2022
IT leaders hold a powerful position at Owens Corning. CIO Steve Zerby not only has a seat at the table, but he’s driving business strategy at the manufacturing company thanks to his panoptic view of the centralized yet global organization. He’s able to spot synergies in supply chain processes that could create efficiencies, and connect leaders in high-performing geographies with lower-performing regions that could benefit from their perspective — even if they’re not in the same business division
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Analytics Vidhya
OCTOBER 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction A data lake is a centralized repository for storing, processing, and securing massive amounts of structured, semi-structured, and unstructured data. It can store data in its native format and process any type of data, regardless of size. Data Lakes are an important […].
KDnuggets
OCTOBER 17, 2022
Outshine others and increase your odds of getting hired by maintaining a data science portfolio with projects, resumes, blogs, and reports.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Depict Data Studio
OCTOBER 17, 2022
Here’s a counterintuitive dataviz principle: Sometimes, it’s easier to understand several small graphs than a single graph. I was recently working with an organization to visualize which states were using their software programs. States might use: Software A Software B Or, both software A and B. Before: A Single Multicolor Map. Here’s what their visualization looked like.
Analytics Vidhya
OCTOBER 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction You may be asked questions on various topics in a data science interview. These include statistics, machine learning, probability, data visualization, data analysis, and behavioral questions. Besides these, your coding abilities are also tested by asking you to solve a problem, and […].
Smart Data Collective
OCTOBER 17, 2022
Email marketing is widespread, with 333.2 billion emails exchanged every day. How can you ensure Outlook recipients open your bulk emails with severe competition? Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed.
Analytics Vidhya
OCTOBER 17, 2022
Overview There are 4 mathematical pre-requisite (or let’s call them “essentials”) for Data Science/Machine Learning/Deep Learning, namely: Probability & Statistics Linear Algebra Multivariate Calculus Convex Optimization Introduction In this article, we are going to discuss the following questions: Why should I bother about Optimization in ML?
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Smart Data Collective
OCTOBER 17, 2022
IoT plays a significant role in information technology, yet the pace of deployments has outpaced the awareness of compliance issues. IT professionals must work hard to stay ahead of the curve, especially if they plan to integrate IoT in various facets of their operations. Compliance requirements vary across industries. However, every organization should at least apply compliance to some aspects of its operations.
Analytics Vidhya
OCTOBER 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction This article is part of blog series on Machine Learning Operations(MLOps). In the previous articles, we have gone through the introduction, MLOps pipeline, model training, model testing, model packaging, and model registering. We have seen how to train, test, package, and register […].
Smart Data Collective
OCTOBER 17, 2022
Artificial Intelligence is the new age blessing in disguise, especially when understanding complex data for the company’s benefit. Unfortunately, there have been complaints about AI’s bias. In most cases, the bias manifests as a technical glitch, but it is an oversight by the algorithm feed and society. These ultimately affect what AI portrays depending on who is using the software.
KDnuggets
OCTOBER 17, 2022
It is called Adaptive Boosting due to the fact that the weights are re-assigned to each instance, with higher weights being assigned to instances that are not correctly classified - therefore it ‘adapts’.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
CIO Business Intelligence
OCTOBER 17, 2022
For years, auto makers and dealers have used Salesforce for CRM — but it’s involved a hodge-podge of company-specific customizations. Now Salesforce is hoping to sweep that away with Salesforce Automotive Cloud, a dedicated platform for the auto industry that sticks close to industry standards on data exchange. This new offering has arrived as auto makers rethink their relationships with dealers and intermediaries who handled face-to-face customer relations and local inventory since the pandemic
KDnuggets
OCTOBER 17, 2022
10 Cheat Sheets You Need To Ace Data Science Interview • 3 Valuable Skills That Have Doubled My Income as a Data Scientist • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • The Complete Free PyTorch Course for Deep Learning • Decision Tree Algorithm, Explained.
CIO Business Intelligence
OCTOBER 17, 2022
By Ilias Chantzos, Global Privacy Officer and Head of EMEA Government Affairs, Broadcom. On May 11, 2022, the European Union (EU) reached provisional agreement on the new Digital Operational Resilience Act (DORA). Despite the choice of term, there’s nothing “provisional” about DORA. In fact, one of the world’s most far-reaching cybersecurity regulations for financial services and their supply chains is a done deal.
Cloudera
OCTOBER 17, 2022
As we wrap up Hispanic Heritage month this #ClouderaLife Spotlight features Elias Avila, senior staff proactive support engineer for Cloudera. In this spotlight, we talk about his career in technology and his philosophy for getting the most out of work in terms of satisfaction and advancement. We also talk about his upbringing in the primarily Mexican American community of Salinas, California, and the important role Hispanics play in California’s Central Valley. .
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
CIO Business Intelligence
OCTOBER 17, 2022
No one sounds more amazed about his career path than Anthony Osijo himself. He was a career banker living in Hong Kong when friends from university pitched their new utility startup called Bboxx. . “I was an angel investor,” laughs Osijo from his London home office. Now, as Chief Financial Officer of Bboxx, it’s Osijo’s job to successfully steer the utility from startup to profitable scale-up company. .
KDnuggets
OCTOBER 17, 2022
Explore Machine Learning with hands-on labs and real world applications with Dr. Kirk Borne, ex-NASA Scientist and former Principal Data Scientist at Booz Allen Hamilton.
Dataiku
OCTOBER 17, 2022
Discovering potential drug risks and preventing unnecessary patient harm is a top priority for pharmaceutical companies. It is a challenge that grows more complex as more drugs are brought to market; at present, there are over 19,000 drugs approved for marketing by the FDA , and around 45% of Americans take at least one prescription medication.
erwin
OCTOBER 17, 2022
Quest ® EMPOWER, our free data summit, is coming to you live and online, November 1-2, 2022. Whether you’re new to erwin ® by Quest ® , or you’re a loyal user of our industry-leading solutions, you’ll benefit from learning how to maximize the business value of your data. We know carving out time to grow your skillet isn’t easy, but we promise, the insights you’ll gain from data experts and your peers will save you plenty of time in the long run.
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Smart Data Collective
OCTOBER 17, 2022
Businesses are producing more data year after year, but the number of locations where it is kept is increasing dramatically. This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a
Smart Data Collective
OCTOBER 17, 2022
Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. Pipeline, as it sounds, consists of several activities and tools that are used to move data from one system to another using the same method of data processing and storage.
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