ODSC - Open Data Science

DECEMBER 1, 2023

We are all familiar with Microsoft and Microsoft Azure , but have you explored their wide range of learning paths, available for free? MLOps End-to-end Machine Learning Operations (MLOps) with Azure Machine Learning In this learning path, you’ll learn how to implement key concepts to build an end-to-end MLOps solution.

Data Science 52

Data Science Azure Machine Learning Machine Learning 52

The MLOps Blog

MARCH 23, 2023

The size of large NLP models is increasing | Source Such large natural language processing models require significant computational power and memory, which is often the leading cause of high infrastructure costs. Cloud computing services are flexible and can scale according to your requirements.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

IBM Journey to AI blog

NOVEMBER 13, 2023

As an open-source system, Kubernetes services are supported by all the leading public cloud providers, including IBM, Amazon Web Services (AWS), Microsoft Azure and Google. Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Artificial Intelligence : Concepts of AI include neural networks, natural language processing (NLP), and reinforcement learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. Opportunities for innovation CreditAI by Octus version 1.x

AWS 88

AWS Database AI AI 88

Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

OCTOBER 3, 2024

How AIMaaS Works AIMaaS operates on a cloud-based architecture, allowing users to access AI models via APIs or web interfaces. Computer Vision : Models for image recognition, object detection, and video analytics. Natural Language Processing (NLP) : Tools for text classification, sentiment analysis, and language translation.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Artificial Intelligence 52

Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Natural Language Processing (NLP) Gain expertise in NLP techniques and libraries such as SpaCy and NLTK to build applications that can understand human language, like chatbots or sentiment analysis systems.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

ODSC - Open Data Science

MAY 25, 2023

Ion Stoica, PhD Professor, Director | UC Berkeley, RISELab Ion Stoica, PhD’s current research focuses on cloud computing and networked computer systems. His past work includes Apache Spark, Apache Mesos, Tachyon, Chord DHT, and Dynamic Packet State (DPS).

Data Science 52

Data Science Machine Learning Machine Learning Database 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. These networks can learn from large volumes of data and are particularly effective in handling tasks such as image recognition and natural language processing. A solid foundation in mathematics enhances model optimisation and performance.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. This can help to reduce the number of complaints that require manual handling. This helps users understand how to address errors and improve model accuracy.

AI 52

AI AI Natural Language Processing Cloud Computing 52

Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. This can help to reduce the number of complaints that require manual handling. This helps users understand how to address errors and improve model accuracy.

AI 52

AI AI Artificial Intelligence Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. This can help to reduce the number of complaints that require manual handling. This helps users understand how to address errors and improve model accuracy.

AI 52

AI AI Artificial Intelligence Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. This can help to reduce the number of complaints that require manual handling. This helps users understand how to address errors and improve model accuracy.

AI 52

AI AI Artificial Intelligence Natural Language Processing 52

The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. The vendor offerings are divided into two classes: GPU Cloud Servers are long-running (but possibly pre-emptible) machines.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Data Science Dojo

MAY 24, 2024

Natural Language Processing (NLP) NLP involves programming computers to process and analyze large amounts of natural language data. Skills in cloud platforms like AWS, Azure, and Google Cloud are crucial for deploying scalable and accessible AI solutions.

Machine Learning 195

Machine Learning Machine Learning Deep Learning Deep Learning 195

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. Software as a service (SaaS) applications have become a boon for enterprises looking to maximize network agility while minimizing costs.

Analytics 94

Analytics Analytics ML ML 94

Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. Understand best practices for presenting findings clearly to both technical and non-technical audiences, enhancing decision-making processes.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52