Analytics Vidhya

MARCH 29, 2023

Introduction Intelligent document processing (IDP) is a technology that uses artificial intelligence (AI) and machine learning (ML) to automatically extract information from unstructured documents such as invoices, receipts, and forms.

Azure 306

Azure Artificial Intelligence Artificial Intelligence Machine Learning 306

Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. The data mesh architecture aims to increase the return on investments in data teams, processes, and technology, ultimately driving business value through innovative analytics and ML projects across the enterprise.

Data Governance 132

Data Governance ML ML Data Lakes 132

Data Science Dojo

JULY 5, 2024

Modern businesses are embracing machine learning (ML) models to gain a competitive edge. Deploying ML models in their day-to-day processes allows businesses to adopt and integrate AI-powered solutions into their businesses. This reiterates the increasing role of AI in modern businesses and consequently the need for ML models.

Machine Learning 322

Machine Learning Machine Learning ML ML 322

Analytics Vidhya

MAY 26, 2023

Imagine diving into the details of data analysis, predictive modeling, and ML. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future. The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology.

Data Science 319

Data Science Data Analysis Data Analysis ML 319

Data Science Dojo

FEBRUARY 7, 2024

It makes machine learning (ML) a critical component of data science where algorithms are statistically trained on data. An ML model learns iteratively to make accurate predictions and take actions. It enables the ML model to refine its parameters and learn task-specific patterns needed for improved performance on the target task.

Machine Learning 243

Machine Learning Machine Learning ML ML 243

Dataconomy

MAY 22, 2023

Additionally, as the size of the dataset grows, it may become challenging to fit the entire dataset into the memory of a single machine, leading to performance issues and potential information loss. Communication protocols and frameworks facilitate the exchange of information and coordination among the machines.

ML 233

ML ML Machine Learning Machine Learning 233

Data Science Dojo

APRIL 8, 2024

It is time to understand that unlearning information is as important for machines as for humans to progress in this rapidly advancing world. Hence, it refers to the process of getting a trained model to forget information and specific knowledge it has learned during the training phase.

AI 243

AI AI Machine Learning Machine Learning 243

AWS Machine Learning Blog

NOVEMBER 14, 2024

By setting up automated policy enforcement and checks, you can achieve cost optimization across your machine learning (ML) environment. When defining your tagging strategy, you need to determine the right tags that will gather all the necessary information in your environment.

ML 116

ML ML AWS Machine Learning 116

Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. We provide detailed information and GitHub examples for this new SageMaker capability. We discuss this in Part 2.

ML 167

ML ML AWS Python 167

AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.

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AWS ML ML AI 108

Analytics Vidhya

MAY 6, 2023

In an effort to curb this issue, Bharti Airtel has developed a solution based on AI and ML. Phishing and cyber fraud through unsolicited commercial communication (UCC) have been a major concern for banks, TRAI, and other financial regulators, leading to financial losses estimated at Rs 1,000-1,500 crore every month.

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AI AI ML ML 305

AWS Machine Learning Blog

DECEMBER 4, 2024

Scaling machine learning (ML) workflows from initial prototypes to large-scale production deployment can be daunting task, but the integration of Amazon SageMaker Studio and Amazon SageMaker HyperPod offers a streamlined solution to this challenge. ML SA), Monidipa Chakraborty (Sr. Delete the IAM role you created.

ML 104

ML ML Clustering AWS 104

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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AWS ML ML Data Scientist 82

AWS Machine Learning Blog

DECEMBER 12, 2024

By enabling scripts to filter content and remove personally identifiable information (PII), this integration streamlines the deployment process, encapsulating the necessary steps within the model configuration for better management and deployment of models with specific inference requirements.

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ML ML Python AWS 111

AWS Machine Learning Blog

OCTOBER 29, 2024

This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker. We use SageMaker Model Monitor to assess these models’ performance.

ML 113

ML ML AWS Machine Learning 113

Data Science Dojo

SEPTEMBER 8, 2023

AI provides engineers with a powerful toolset to make more informed decisions and enhance their interactions with the digital world. Machine Learning and Deep Learning: The Power Duo Machine Learning (ML) and Deep Learning (DL) are two critical branches of AI that bring exceptional capabilities to predictive analytics.

Predictive Analytics 243

Predictive Analytics Analytics Analytics Deep Learning 243

Data Science Dojo

MAY 10, 2024

Their impact on ML tasks has made them a cornerstone of AI advancements. It allows ML models to work with data but in a limited manner. Stage 2: Introduction of neural networks The next step for LLM embeddings was the introduction of neural networks to capture the contextual information within the data.

Supervised Learning 259

Supervised Learning Clustering ML ML 259

Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. Once you provide relevant prompts of focus to the GPT, it can generate appropriate data visuals based on the information from the uploaded files. What is OpenAI’s GPT Store?

Data Science 253

Data Science Data Analysis Data Analysis Machine Learning 253

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

Computer Science 162

Computer Science Computer Science ETL ML 162

Towards AI

DECEMBER 15, 2024

R-Squared Score (R2): It is also called the Coefficient of Determination which measures the proportion of variance or information in the target variable that can be explained by the model. 👉 Smaller MAE = Better predictions. Example: House Price prediction 4. It shows how well the models predictions match the actual data.

ML 94

ML ML Data Scientist Machine Learning 94

Data Science Dojo

SEPTEMBER 23, 2024

This information is critical for improving model performance, especially in cases where certain types of errors are more costly than others. Understand the basics of Binomial Distribution and its importance in ML Interpreting the Key Metrics High Recall : The model is good at identifying actual Spam emails (high Recall of 87.5%).

Machine Learning 357

Machine Learning Machine Learning Data Scientist ML 357

IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Data Science Dojo

JULY 5, 2023

Machine Learning (ML) is a powerful tool that can be used to solve a wide variety of problems. Getting your ML model ready for action: This stage involves building and training a machine learning model using efficient machine learning algorithms. This information can be used to inform the design of the model.

Machine Learning 195

Machine Learning Machine Learning EDA Exploratory Data Analysis 195

Data Science Dojo

APRIL 25, 2023

Here are some essential SQL concepts that every data scientist should know: First, understanding the syntax of SQL statements is essential in order to retrieve, modify or delete information from databases. In this case, string formatting is crucial and entails editing the strings to remove superfluous information.

Data Scientist 370

Data Scientist SQL Machine Learning Machine Learning 370

Dataconomy

SEPTEMBER 13, 2023

Imagine a world where computers can’t interpret the visual information around them without a little human assistance. These labels provide crucial context for machine learning models, enabling them to make informed decisions and predictions. That’s where data annotation comes into play.

Machine Learning 195

Machine Learning Machine Learning AI AI 195

Data Science Dojo

MARCH 19, 2024

Specialized embedding tools are particularly useful in fields like finance and healthcare where unique datasets form the basis of information. Embeddings are an important tool that enables ML engineers to develop apps that can handle multimodal data efficiently. Why does healthcare need specialized embedding tools?

ML 195

ML ML AI AI 195

Dataconomy

JULY 4, 2023

Hyper automation, which uses cutting-edge technologies like AI and ML, can help you automate even the most complex tasks. It’s also about using AI and ML to gain insights into your data and make better decisions. ML algorithms enable systems to identify patterns, make predictions, and take autonomous actions.

Natural Language Processing 192

Natural Language Processing Big Data Big Data Machine Learning 192

Data Science Dojo

AUGUST 24, 2023

ML models have grown significantly in recent years, and businesses increasingly rely on them to automate and optimize their operations. However, managing ML models can be challenging, especially as models become more complex and require more resources to train and deploy. What is MLOps?

Machine Learning 195

Machine Learning Machine Learning ML ML 195

AWS Machine Learning Blog

NOVEMBER 13, 2024

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks.

ML 120

ML ML AWS Data Preparation 120

Data Science Dojo

OCTOBER 11, 2023

This swift data processing enables businesses to make well-informed decisions promptly, enhancing their agility and responsiveness in a fast-paced market. Consequently, it fosters a safer digital ecosystem where sensitive information is better shielded from unauthorized access and cyber threats.

Data Science 300

Data Science Data Analysis Data Analysis Artificial Intelligence 300

Data Science Dojo

JULY 23, 2024

With the growing use of machine learning (ML) models to handle, store, and manage data, the efficiency and impact of enterprises have also increased. Categorical data is one such form of information that is handled by ML models using different methods. Learn about 101 ML algorithms for data science with cheat sheets 5.

Machine Learning 195

Machine Learning Machine Learning Algorithm ML 195

Data Science Dojo

MARCH 8, 2024

In today’s digital world, businesses must make data-driven decisions to manage huge sets of information. It involves multiple data handling processes, like updating, deleting, or changing information. Vector databases: They are useful for complex and multimodal datasets, often associated with complex machine learning (ML) tasks.

Database 370

Database Natural Language Processing Clustering SQL 370

Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. It makes them more versatile as they are not limited to handling textual information, but can process multimodal forms of data. What is OpenAI’s GPT Store?

Data Science 195

Data Science Data Analysis Data Analysis ML 195

Data Science Dojo

MAY 10, 2024

Their impact on ML tasks has made them a cornerstone of AI advancements. It allows ML models to work with data but in a limited manner. Stage 2: Introduction of neural networks The next step for LLM embeddings was the introduction of neural networks to capture the contextual information within the data.

Supervised Learning 195

Supervised Learning Clustering ML ML 195

Data Science Dojo

NOVEMBER 10, 2023

With the help of artificial intelligence (AI) and machine learning (ML), data scientists are able to extract valuable insights from this data to inform decision-making and drive business success.

Data Science 332

Data Science Data Scientist Natural Language Processing AI 332

Data Science Dojo

FEBRUARY 23, 2024

It makes them more versatile as they are not limited to handling textual information, but can process multimodal forms of data. Once you provide relevant prompts of focus to the GPT, it can generate appropriate data visuals based on the information from the uploaded files. This custom GPT is created by Open AI’s ChatGPT.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Towards AI

DECEMBER 15, 2024

R-Squared Score (R2): It is also called the Coefficient of Determination which measures the proportion of variance or information in the target variable that can be explained by the model. 👉 Smaller MAE = Better predictions. Example: House Price prediction 4. It shows how well the models predictions match the actual data.

ML 88

ML ML Data Scientist Machine Learning 88