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 […].

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Machine Learning Data Science 399

IBM Journey to AI blog

JANUARY 10, 2023

Without a doubt, there is exponential growth in the access to and volume of process data we all, as individuals, have at our fingertips. Coupled with a current climate that is proving to be increasingly ambiguous and complex, there is a huge opportunity to leverage data insights to drive a more robust, evidence-based methodology to the way we work and manage change.

Data Mining 130

Data Mining Data Analysis Machine Learning Data Science 130

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.

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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).

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DevOps Natural Language Processing Metadata Automation 110

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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, […].

Machine Learning 395

Machine Learning Data Science Data Analysis Python 395

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.

Machine Learning 93

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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.

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Neural Network Deep Learning 91

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.

Robotics 347

Robotics Data Science NLP Machine Learning 347

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.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

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,

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Eugene Yan

JANUARY 7, 2023

Seeking first to understand, earning trust, and preparing for away team work.

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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 […].

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Python 323

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.

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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.

LLM

AWS Machine Learning Blog

JANUARY 9, 2023

If you’ve had the opportunity to build a search application for unstructured data (i.e., wiki, informational web sites, self-service help pages, internal documentation, etc.) using open source or commercial-off-the-shelf search engines, then you’re probably familiar with the inherent accuracy challenges involved in getting relevant search results. The intended meaning of both query and document can be lost because the search is reduced to matching component keywords and terms.

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Automation ML AI AI 81

Pickl AI

JANUARY 13, 2023

Data integration in different spectrums of life highlights its growing significance. It has become a driving force of transformation, and so a career in Data Science is flourishing. The role of Data Science is not just limited to the IT domain. Today, people from the finance sector and healthcare sector are also finding Data Science helpful to make their practices more effective and efficient.

Data Science 52

Data Science Data Scientist Automation Algorithm 52

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 […].

Data Science 322

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 322

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.

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Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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.

Metadata 79

Metadata Automation AI AI 79

Chatbots Life

JANUARY 13, 2023

In Dialogflow , the session for agents is maintained by Dialogflow itself. Session continuous the conversation flow between the agent and the user. Why is it necessary to extend the Dialogflow session? In the conversation with the chatbot, if a user takes longer than 30 minutes to respond to the agent then the session between the user and the Dialogflow agent will expire.

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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.

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Data Science Big Data Deep Learning Python 314

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".

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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Snorkel AI

JANUARY 13, 2023

Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers. In the video above, Alex talks with Ananya Kumar about the work he did on improving the effectiveness of foundation models by using contrastive learning, image augmentations, and labeled subsamples. Below follows a transcript of their conversation, lightly edited for readability.

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BERT Explainability Automation AI 52

Chatbots Life

JANUARY 13, 2023

They say a house is not a home if there is no one there. Well what good is an advanced virtual space without access to digital assets like 3D chatbots to interact with? 3D chatbots are the bridge between the physical and digital as it grants that human-like connection in addition to providing a more seamless, diverse and immersive experience. Without these digital agents, the metaverse would simply be a limitless but lifeless virtual vacuum of possibilities For persons working, playing and creat

Chatbots 52

Chatbots 52

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. […].

Artificial Intelligence 305

Artificial Intelligence Artificial Intelligence Data Science AI 305

databricks

JANUARY 10, 2023

It is no secret that there has been an explosion of data in the past 10 years. As per Forbes, from 2010 to.

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Pragnakalp

JANUARY 12, 2023

Introduction Welcome to our tutorial on deploying a machine learning (ML) model on Amazon Web Services (AWS) Lambda using Docker. In this tutorial, we will walk you through the process of packaging an ML model as a Docker container and deploying it on AWS Lambda, a serverless computing service. By the end of this tutorial, you will have a working ML model that you can invoke through an API, and you will have gained a deeper understanding of how to deploy ML models on the cloud.

Machine Learning 52

Machine Learning ML Python Data Scientist 52

Pickl AI

JANUARY 12, 2023

In the competitive times like today, working professionals should always look for upskilling themselves. However, career expansion becomes challenging. After working for certain years, the professional journey becomes stagnant. And so, it is vital to take the next step in the direction that gives you futuristic growth. Hence, upskilling oneself becomes paramount.

Data Science 52

Data Science Data Scientist Machine Learning Python 52

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 […].

Machine Learning 306

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