AWS Machine Learning Blog

JANUARY 22, 2025

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. An EventBridge rule then triggers the AWS Step Functions workflow to begin processing the video recording into a transcript.

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AWS AI AI Machine Learning 106

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Azure Data Engineer Data Engineering Data Engineering 52

Dataconomy

MARCH 19, 2024

Expanded collaboration between Microsoft and NVIDIA is announced, integrating NVIDIA’s AI and Omniverse tech into Microsoft Azure, Azure AI, and Microsoft 365. Integration of the new NVIDIA Blackwell GPU platform into AWS infrastructure is announced, enhancing generative AI capabilities.

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Azure AWS AI AI 113

Mlearning.ai

APRIL 24, 2023

One can only train and mange so many algorithms/commands with one computer, thus it is attractive to use a service cloud platform with more computers, storage, and deployment options. I just finished learning Azure’s service cloud platform using Coursera and the Microsoft Learning Path for Data Science.

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Azure SQL Database Python 52

AWS Machine Learning Blog

DECEMBER 20, 2023

Whether logs are coming from Amazon Web Services (AWS), other cloud providers, on-premises, or edge devices, customers need to centralize and standardize security data. SageMaker supports two built-in anomaly detection algorithms: IP Insights and Random Cut Forest. Subscribe an AWS Lambda function to the SQS queue.

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AWS ML ML Algorithm 128

Towards AI

JANUARY 6, 2025

Generative AI with LLMs course by AWS AND DEEPLEARNING.AI Build expertise in computer vision, clustering algorithms, deep learning essentials, multi-agent reinforcement, DQN, and more. You must bring a basic understanding of linear algebra, calculus, and Python to build strength in ML algorithms, […]

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence AI AI 105

AWS Machine Learning Blog

APRIL 18, 2023

Amazon Kendra uses ML algorithms to enable users to use natural language queries to search for information scattered across multiple data souces in an enterprise, including commonly used document storage systems like Microsoft OneDrive. An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies.

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AWS Azure Machine Learning Machine Learning 84

Pickl AI

DECEMBER 25, 2024

Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. Its focus lies in building advanced algorithms and leveraging large datasets to answer questions like “what will happen?” ” and “what should be done?”

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Women in Big Data

NOVEMBER 27, 2024

Decide between cloud-based solutions, such as AWS Redshift or Google BigQuery, and on-premises options, while considering scalability and whether a hybrid approach might be beneficial. How to Choose a Data Warehouse for Your Big Data Choosing a data warehouse for big data storage necessitates a thorough assessment of your unique requirements.

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Data Warehouse Big Data Big Data Azure 59

ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. This will lead to algorithm development for any machine or deep learning processes.

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Data Science Data Scientist Computer Science Computer Science 98

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously.

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Smart Data Collective

AUGUST 2, 2022

Automotive OEMs and top automotive software companies can work together to build resilient software development processes with sophisticated AI algorithms that allow them to innovate, meet growing customer needs for infotainment systems, and monetize new business models.

AI 141

AI AI Machine Learning Machine Learning 141

Dataconomy

JUNE 16, 2023

If you wonder about Gamma integrations, here is a full list: Gmail Slack Mattermost Outlook GitHub Microsoft Teams Jira Dropbox Box AWS Confluence OneDrive Drive Salesforce Azure Cybersecurity is one of the most important things to consider on the internet ( Image Credit ) Is Gamma AI safe to use? They are knowledgeable and precise.

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AI AI Natural Language Processing Data Classification 193

Applied Data Science

FEBRUARY 7, 2022

Pay for a Cloud provider’s API, such as Google’s, AWS, or on Azure. docker run -t -i -p 5000:5000 -v "${PWD}/data:/data" osrm/osrm-backend osrm-routed --algorithm mld /data/greater-london-latest.osrm Then you can use curl, Python, or any programming language, to calculate the distance between two pairs of coordinates.

Data Science 130

Data Science Azure AWS Python 130

Towards AI

MARCH 3, 2024

Your algorithms hum with anticipation, your visualizations shimmer with insight, and you’re teetering on the edge of something truly remarkable. Ah, the wild world of data science and machine learning, where algorithms roam free, and models hold the keys to unlocking the mysteries of the universe. Executes any necessary setup (e.g.

Data Science 116

Data Science Python Algorithm Azure 116

DagsHub

JULY 25, 2024

TensorFlow implements a wide range of deep learning and machine learning algorithms and is well-known for its adaptability and extensive ecosystem. In finance, it's applied for fraud detection and algorithmic trading. Notable Use Cases TensorFlow is widely used in various industries. In 2011, H2O.ai Documentation H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

MAY 5, 2023

Between accessing databases, using frameworks, using applications, and more, a lot of power is needed to run even the simplest algorithms. Microsoft Azure As one of the most popular data science cloud options, Microsoft Azure is designed for AI. Azure is also compatible with its massive library of other services as well.

Data Science 52

Data Science Data Engineer Data Engineering Data Engineering 52

DrivenData Labs

NOVEMBER 14, 2023

VIIRS is similar to MODIS, and its snow cover and sea ice algorithms are designed to be the newer continuation of MODIS data. VIIRS has higher spatial resolution for certain spectral bands, while MODIS has higher resolution for others. For example, VIIRS has higher resolution for the thermal bands that are useful for detecting forest fires.

Python 162

Python AWS Azure Data Analysis 162

Becoming Human

MAY 15, 2023

The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value. Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Data Science Connect

JULY 26, 2023

Companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are leveraging their extensive cloud infrastructure to create edge computing solutions. Edge AI involves deploying AI algorithms and models directly on edge devices, eliminating the need to transmit data to centralized servers.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Towards AI

APRIL 27, 2023

Even post, this data needs to be collated in such a way that it is easy to consume inside the AI ML training engine such as AWS Sagemaker, GCP vertex AI, Azure ML, or even Jupyter Notebook on your VMs, etc. for eg, I can ask DALLE-2 to generate new images for me with some simple text prompts. It's a new need now.

Data Preparation 98

Data Preparation ML ML AI 98

Towards AI

APRIL 4, 2023

This has empowered teams to quickly create and optimize models and algorithms that run at peak performance on any edge device. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices.

ML 98

ML ML Python Machine Learning 98

Pickl AI

DECEMBER 26, 2024

Computer Hardware At the core of any Generative AI system lies the computer hardware, which provides the necessary computational power to process large datasets and execute complex algorithms. Foundation Models Foundation models are pre-trained deep learning models that serve as the backbone for various generative applications.

AI 52

AI AI Deep Learning Deep Learning 52

Dataconomy

APRIL 10, 2023

What is IIoT: IIoT systems use advanced analytics and machine learning algorithms to analyze data The benefits of IIoT The Industrial Internet of Things (IIoT) is transforming the way that industrial organizations operate, offering a wide range of benefits and opportunities for businesses of all sizes.

Internet of Things 103

Internet of Things Azure Analytics Analytics 103

Smart Data Collective

MAY 19, 2021

With the greater availability of cloud-based infrastructure solutions including AWS IoT and Azure IoT hub, and cloud computing consulting services that can provide valuable insights for implementing and using cloud services, smart home startups no longer have to code advanced data acquisition, archiving, and analytics modules from scratch.

AI 134

AI AI Analytics Analytics 134

Dataconomy

MARCH 13, 2023

Algorithms:  AI algorithms are used to process the data and extract insights from it. There are several types of AI algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Develop AI models using machine learning or deep learning algorithms.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

ODSC - Open Data Science

FEBRUARY 17, 2023

NLTK is appreciated for its broader nature, as it’s able to pull the right algorithm for any job. AWS Cloud, Azure Cloud, and others are all compatible with many other frameworks and languages, making them necessary for any NLP skill set. Google Cloud is starting to make a name for itself as well.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Mlearning.ai

APRIL 28, 2023

Algorithm optimization The choice of algorithm can have a significant impact on the performance of the code. AI developers can optimize the algorithms used in their machine learning models to make them more efficient. Some algorithms perform better than others on certain types of data.

ML 52

ML ML Python Machine Learning 52

Pickl AI

JANUARY 13, 2025

Machine Learning Engineer Machine Learning Engineers develop algorithms and models that enable machines to learn from data. Strong understanding of data preprocessing and algorithm development. They explore new algorithms and techniques to improve machine learning models. Key Skills Experience with cloud platforms (AWS, Azure).

AI 52

AI AI Machine Learning Machine Learning 52

The MLOps Blog

MARCH 23, 2023

Likewise, according to AWS , inference accounts for 90% of machine learning demand in the cloud. Cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform offer a range of options for deploying LLMs, including virtual machines, containers, and serverless computing.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. Below, we explore some of the most widely used algorithms in ML.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Becoming Human

MAY 11, 2023

The data must be checked for errors and inconsistencies and transformed into a format suitable for use in machine learning algorithms. This involves selecting the appropriate algorithms, training the models on the data, and testing their accuracy and performance.

Machine Learning 78

Machine Learning Machine Learning DataOps Cloud Computing 78

Dataconomy

APRIL 10, 2023

What is IIoT: IIoT systems use advanced analytics and machine learning algorithms to analyze data The benefits of IIoT The Industrial Internet of Things (IIoT) is transforming the way that industrial organizations operate, offering a wide range of benefits and opportunities for businesses of all sizes.

Internet of Things 79

Internet of Things Azure Analytics Analytics 79

phData

JULY 5, 2024

Pinecone and Weaviate are popular managed vector database platforms that can efficiently scale to handle billions of documents and return relevant embeddings using an approximate nearest neighbor (ANN) algorithm. Chroma is a popular open-source vector database with an ANN algorithm; however, it currently does not support hybrid search.

AI 52

AI AI Database AWS 52

Mlearning.ai

MAY 23, 2023

Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. Check this course to upskill on AWS —  [link] Domain Knowledge Having expertise in a specific industry domain, such as finance, healthcare, or marketing, can be advantageous.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52