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 149

Computer Science Computer Science ML ML 149

O'Reilly Media

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department. Microsoft Word).

Cloud Computing 112

Cloud Computing AWS Azure Machine Learning 112

AWS Machine Learning Blog

APRIL 7, 2023

To reduce the barrier to entry of ML at the edge, we wanted to demonstrate an example of deploying a pre-trained model from Amazon SageMaker to AWS Wavelength , all in less than 100 lines of code. In this post, we demonstrate how to deploy a SageMaker model to AWS Wavelength to reduce model inference latency for 5G network-based applications.

AWS 104

AWS Clustering ML ML 104

AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. Therefore, AWS can help lower the workload carbon footprint up to 96%.

AWS 132

AWS Cloud Computing ML ML 132

Towards AI

JANUARY 29, 2025

Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. These are essential for understanding machine learning algorithms. Learn to use cloud platforms like AWS, Google Cloud, and Azure for deploying AI models. Problem-Solving and Critical Thinking 2.

Deep Learning 94

Deep Learning Deep Learning Machine Learning Machine Learning 94

Pickl AI

NOVEMBER 26, 2024

Summary : Network security in cloud computing is critical to protecting data and infrastructure. Adopting cloud security best practices ensures business continuity and compliance in cloud environments. Introduction Cloud computing has revolutionised the digital landscape, offering scalable solutions for businesses.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Artificial Intelligence 52

Data Science Dojo

MAY 24, 2024

They work at the intersection of various technical domains, requiring a blend of skills to handle data processing, algorithm development, system design, and implementation. Machine Learning Algorithms Recent improvements in machine learning algorithms have significantly enhanced their efficiency and accuracy.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

ML 128

ML ML AWS AI 128

AWS Machine Learning Blog

OCTOBER 30, 2023

For the full list of model IDs, refer to Built-in Algorithms with pre-trained Model Table. To see the whole list of models available with SageMaker JumpStart, refer to Built-in Algorithms with pre-trained Model Table. He is interested in the confluence of machine learning with cloud computing.

Machine Learning 130

Machine Learning Machine Learning Natural Language Processing Cloud Computing 130

Dataconomy

JUNE 16, 2023

Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS). The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles.

AI 193

AI AI Natural Language Processing Data Classification 193

Pickl AI

SEPTEMBER 16, 2024

Summary: AWS Lambda enables serverless computing, letting developers run code without managing servers. It offers benefits like automatic scaling and pay-as-you-go pricing, and integration with AWS services enhances its functionality. This article aims to explore AWS Lambda by exploring its functions and how to code with it.

AWS 52

AWS Python Database Cloud Computing 52

Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

ML 121

ML ML Machine Learning Machine Learning 121

AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon Transcribe uses advanced speech recognition algorithms and machine learning (ML) models to accurately partition speakers and transcribe the audio, handling various accents, background noise, and other challenges. Deployment, as described below, is currently supported only in the US West (Oregon) us-west-2 AWS Region.

AWS 99

AWS Machine Learning Machine Learning ML 99

IBM Journey to AI blog

MARCH 20, 2024

Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives. What is a public cloud? A public cloud is a type of cloud computing in which a third-party service provider (e.g.,

Cloud Computing 112

Cloud Computing Internet of Things Big Data Big Data 112

AWS Machine Learning Blog

SEPTEMBER 12, 2024

Prerequisites To implement this solution, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic familiarity with SageMaker and AWS services that support LLMs. For more information, see Overview of access management: Permissions and policies.

AWS 138

AWS ML ML AI 138

AWS Machine Learning Blog

SEPTEMBER 10, 2024

We provide insights on interpretability, robustness, and best practices of architecting complex ML workflows on AWS with Amazon SageMaker. by AWS, which aimed to mitigate the limitations of PORPOISE. First, a state-of-the-art framework, namely Pathology-Omic Research Platform for Integrative Survival Estimation (PORPOISE) ( Chen et al.,

Supervised Learning 96

Supervised Learning Machine Learning Machine Learning AWS 96

AWS Machine Learning Blog

DECEMBER 20, 2023

SageMaker JumpStart is the machine learning (ML) hub of Amazon SageMaker that provides access to foundation models in addition to built-in algorithms and end-to-end solution templates to help you quickly get started with ML. About the authors Dr. Kyle Ulrich is an Applied Scientist with the Amazon SageMaker built-in algorithms team.

Machine Learning 136

Machine Learning Machine Learning ML ML 136

AWS Machine Learning Blog

JULY 23, 2024

You can now use state-of-the-art model architectures, such as language models, computer vision models, and more, without having to build them from scratch. Virginia), US East (Ohio), and US West (Oregon) AWS Regions. Dr. Kyle Ulrich is an Applied Scientist with the Amazon SageMaker built-in algorithms team. models today.

Machine Learning 133

Machine Learning Machine Learning AWS ML 133

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. How Does Cloud Computing Support Generative AI?

AI 52

AI AI Deep Learning Deep Learning 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 Cloud Computing DataOps 78

Data Science Dojo

JUNE 6, 2023

” – Gartner While innovation and speed are essential, digitizing the enterprise entails more than just introducing new technologies, releasing digital products, or migrating systems to the cloud. Find the problems that need to be fixed and the possibilities that can help.

Big Data 195

Big Data Big Data Cloud Computing Machine Learning 195

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

The MLOps Blog

MARCH 23, 2023

Likewise, according to AWS , inference accounts for 90% of machine learning demand in the cloud. Smart use of cloud computing for computational resources Using cloud computing services can provide on-demand access to powerful computing resources, including CPUs and GPUs.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

Data Science Connect

JULY 26, 2023

The Emergence of Edge Computing: A Game-Changer Edge computing has emerged as a game-changing technology, revolutionizing how data is processed and delivered. Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Pickl AI

JULY 30, 2024

It employs progressive alignment algorithms to identify conserved regions and sequence variations among a set of related sequences. Cloud Computing Cloud computing involves using remote servers to store and process large datasets. It is useful for visualising complex data and identifying patterns and trends.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

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

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

Deep Learning 111

Deep Learning Data Science Deep Learning Natural Language Processing 111

Mlearning.ai

APRIL 28, 2023

It involves dividing a computation into smaller parts that can be run in parallel on multiple cores or CPUs [2]. 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.

ML 52

ML ML Python Machine Learning 52

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 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

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. By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware.

Data Science 52

Data Science Data Engineer Data Engineering Data Engineering 52

Becoming Human

JUNE 14, 2023

Also Watch: Unlocking the Power of AI: Real-World Examples of Business Success 4) Amazon Web Services Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services to individuals, companies, and governments. Its Messenger app has more than 1.3

Natural Language Processing 72

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 72

Pickl AI

JANUARY 30, 2023

An Artificial Intelligence/Machine Learning (AI/ML) Engineer uses Python For: Data Pre-processing : Before coding and creating an algorithm, it is important to clean and filter the data. Scripting: Use Python as a scripting language to automate and simplify tasks and processes. Python helps in this process.

Python 97

Python Machine Learning Machine Learning Data Science 97

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

Pickl AI

DECEMBER 4, 2024

The field has evolved significantly from traditional statistical analysis to include sophisticated Machine Learning algorithms and Big Data technologies. 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.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

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

AWS Machine Learning Blog

MARCH 8, 2023

We use the proximal policy optimization (PPO) algorithm in SageMaker RL to train the RL agent for 500,000 episodes. He holds a PhD in Aerospace Engineering from Texas A&M University, College Station.

Machine Learning 102

Machine Learning Machine Learning AWS ML 102