Analytics Vidhya
JANUARY 8, 2023
Introduction Welcome to the world of MLOps, or Machine Learning Operations! If you’re an industry specialist looking to understand MLOps and how it can benefit your organization, then you’re at the right place. MLOps, or Machine Learning Operations, is a set of practices and techniques that enables an organization to effectively build, deploy, and manage […].
IBM Journey to AI blog
JANUARY 12, 2023
An allocation is the process of shifting overhead costs throughout an organization. One company might want to distribute costs across business units or departments. Another might want to assign costs to individual products or projects. Fundamentally, the smartest approach to allocations is about properly assigning costs to the areas that benefit from those costs.
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AI Impacts
JANUARY 10, 2023
(Crossposted from world spirit sock puppet ) Katja Grace, 10 January 2023 When discussing advanced AI, sometimes the following exchanges happens: “Perhaps advanced AI won’t kill us. Perhaps it will trade with us” “We don’t trade with ants” I think it’s interesting to get clear on exactly why we don’t trade with ants, and whether it is relevant to the AI situation.
AWS Machine Learning Blog
JANUARY 12, 2023
This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. At The Very Group , which operates digital retailer Very, security is a top priority in handling data for millions of customers. Part of how The Very Group secures and tracks business operations is through activity logging between business systems (for example, across the stages of a customer order).
Speaker: David Warren and Kevin O’Neill Stoll
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
Analytics Vidhya
JANUARY 13, 2023
This article was published as a part of the Data Science Blogathon. Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced. There are three types of injuries in a target variable: minor, severe, […].
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Machine Learning Mastery
JANUARY 9, 2023
Last Updated on January 10, 2023 The traditional model of neural network is called multilayer perceptrons. They are usually made up of a series of interconnected layers. The input layer is where the data enters the network, and the output layer is where the network delivers the output. The input layer is usually connected to […] The post Neural Network with More Hidden Neurons appeared first on MachineLearningMastery.com.
O'Reilly Media
JANUARY 10, 2023
The holidays are over, and it’s time to digest. Although I don’t subscribe to the idea that history or technology moves in jerky one-year increments, it’s still valuable to take stock, look at what’s happened, and decide what was important and what isn’t. We started the year with many people talking about an “AI winter.” A quick Google search will show that anxiety about an end to AI funding has continued through the year.
Analytics Vidhya
JANUARY 11, 2023
Introduction Amazon Elastic MapReduce (EMR) is a fully managed service that makes it easy to process large amounts of data using the popular open-source framework Apache Hadoop. EMR enables you to run petabyte-scale data warehouses and analytics workloads using the Apache Spark, Presto, and Hadoop ecosystems. Amazon Elastic MapReduce (EMR) is designed to be flexible […].
IBM Journey to AI blog
JANUARY 10, 2023
In this example, we will demonstrate using current data within a Netezza Performance Server as a Service (NPSaaS) table combined with historical data in Parquet files to determine if flight delays have increased in 2022 due to the impact of the COVID-19 pandemic on the airline travel industry. This demonstration illustrates how Netezza Performance Server (NPS) can be extended to access data stored externally in cloud object storage (Parquet format files).
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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?
AWS Machine Learning Blog
JANUARY 13, 2023
This post is co-written with Jennifer Bergstrom, Sr. Technical Director, ParsonsX. Parsons Corporation (NYSE:PSN) is a leading disruptive technology company in critical infrastructure, national defense, space, intelligence, and security markets providing solutions across the globe to help make the world safer, healthier, and more connected. Parsons provides services and capabilities across cybersecurity, missile defense, space ground station technology, transportation, environmental remediation,
Defined.ai blog
JANUARY 12, 2023
Machine learning (ML) can be used in manufacturing in a variety of ways to optimize production processes and improve product quality. Common applications include: Predictive maintenance: ML models can be trained to analyze sensor data from equipment to predict fault timelines and when maintenance will be needed. This can help manufacturers to schedule maintenance at the optimal time, reducing downtime and improving equipment efficiency.
Analytics Vidhya
JANUARY 9, 2023
This article was published as a part of the Data Science Blogathon. Introduction Source: [link] Imagine you’re a member of an elite team of experts tasked with understanding and communicating with a group of alien robots. These robots have landed on Earth and are causing destruction and chaos, and it’s up to you to fathom […]. The post Top 11 Interview Questions About Transformer Networks appeared first on Analytics Vidhya.
PyImageSearch
JANUARY 9, 2023
Table of Contents Face Recognition with Siamese Networks, Keras, and TensorFlow Face Recognition Face Recognition: Identification and Verification Identification via Verification Metric Learning: Contrastive Losses Contrastive Losses Summary Credits Citation Information Face Recognition with Siamese Networks, Keras, and TensorFlow In this tutorial, you will learn about Siamese Networks and how they can be used to develop facial recognition systems.
Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.
The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven
databricks
JANUARY 11, 2023
This is a collaborative post from Databricks and Microsoft. We thank Mahesh Prakriya (Director in Intelligence Platform, Microsoft) and Bob Zhang (Sr. Technical.
Machine Learning Mastery
JANUARY 7, 2023
Last Updated on January 10, 2023 A neural network is a set of neuron nodes that are interconnected with one another. The neurons are not just connected to their adjacent neurons but also to the ones that are farther away. The main idea behind neural networks is that every neuron in a layer has one […] The post Building a Single Layer Neural Network in PyTorch appeared first on MachineLearningMastery.com.
Analytics Vidhya
JANUARY 10, 2023
Source: istockphoto Introduction Data Science is a fast-booming domain that has seen exponential growth in recent years. It involves collecting, processing, and analysing data using math, statistics, specialized programming, artificial intelligence, machine learning, and more. Source: istockphoto Although Data Science has expanded beyond the IT and CS sectors and is now a part of almost […].
AWS Machine Learning Blog
JANUARY 12, 2023
This post was co-authored with Mark Lott, Distinguished Technical Architect, Salesforce, Inc. Enterprises that operate globally are experiencing challenges sourcing customer support professionals with multi-lingual experience. This process can be cost-prohibitive and difficult to scale, leading many enterprises to only support English for chats. Using human interpreters for translation support is expensive, and infeasible since chats need real-time translation.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Eugene Yan
JANUARY 7, 2023
Seeking first to understand, earning trust, and preparing for away team work.
databricks
JANUARY 12, 2023
On the heels of the initial release of H3 support in Databricks Runtime (DBR), we are happy to share ground-breaking performance improvements with.
Analytics Vidhya
JANUARY 8, 2023
Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […]. The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya.
AWS Machine Learning Blog
JANUARY 13, 2023
This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.
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After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!
Cold Takes
JANUARY 13, 2023
Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. This post will lay out a couple of stylized stories about how, if transformative AI is developed relatively soon, this could result in global catastrophe. (By “transformative AI,” I mean AI powerful and capable enough to bring about the sort of world-changing consequences I write about in my most important century series.
databricks
JANUARY 12, 2023
One of the domains where better decisions mean a better society is the Public Sector. Each and every one of us has a.
Analytics Vidhya
JANUARY 9, 2023
This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to analyze large amounts of data and make predictions or decisions based on the insights gained. However, developing and deploying machine learning models can be […].
AWS Machine Learning Blog
JANUARY 10, 2023
Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
DataRobot Blog
JANUARY 12, 2023
Organizations that want to accelerate AI and generate significant business impact are now able to deliver augmented intelligence at scale with DataRobot Dedicated Managed AI Cloud and Google Cloud. This service is managed by DataRobot and eliminates the time and cost of on-premises deployment, in addition to removing the challenges of deploying, upgrading, scaling, and managing an infrastructure in-house.
databricks
JANUARY 9, 2023
In our two-part blog series titled "Streaming in Production: Collected Best Practices," this is the second article. Here we discuss the "After Deployment".
Analytics Vidhya
JANUARY 13, 2023
This article was published as a part of the Data Science Blogathon. Introduction Are you tired of spending hours creating detailed and realistic images from scratch? Look no further! Artificial intelligence has made tremendous progress in recent years, and one area where it has shown particular promise is in the generation of images from text descriptions. […].
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