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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Flipboard

SEPTEMBER 16, 2023

Machine Learning (ML), a subfield of Artificial Intelligence (AI), … These third-party libraries are an essential part of any AI developer’s toolkit.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

At the time, I knew little about AI or machine learning (ML). But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML. Panic set in as we realized we would be competing on stage in front of thousands of people while knowing little about ML.

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Analytics Vidhya

SEPTEMBER 27, 2023

Introduction In recent years, the integration of Artificial Intelligence (AI), specifically Natural Language Processing (NLP) and Machine Learning (ML), has fundamentally transformed the landscape of text-based communication in businesses.

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Flipboard

JUNE 14, 2023

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). A lot of …

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Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

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Flipboard

APRIL 3, 2023

As I’ve written, the best uses of artificial intelligence and machine learning (AI/ML) … No, AI isn’t going to take your job. Not yet anyway.

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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.

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Towards AI

MAY 1, 2025

In my final year of BTech, with a growing interest in data science and AI/ML, I realized I was unprepared to showcase my knowledge and skills I had built over time. Thats the moment I decided to build a data science portfolio from scratch using nothing but Python Projects, GitHub as an Interface, and the internet.

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Flipboard

DECEMBER 2, 2024

We explore two approaches: using the SageMaker Python SDK for programmatic implementation, and using the Amazon SageMaker Studio UI for a more visual, interactive experience. To learn more about the ModelBuilder class, refer to Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text. In his free time, he enjoys traveling and dancing.

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AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. He focuses on architecting and implementing large-scale generative AI and classic ML pipeline solutions.

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Data Science Dojo

APRIL 25, 2023

Nely Mihaylova Connecting SQL to Python or R A developer who is fluent in a statistical language, like Python or R, may quickly and easily use the packages of language to construct machine learning models on a massive dataset stored in a relational database management system.

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Pickl AI

MARCH 21, 2025

Summary: Features of Python Programming Language is a versatile, beginner-friendly language known for its simple syntax, vast libraries, and cross-platform compatibility. With continuous updates and strong community support, Python remains a top choice for developers. Learn Python with Pickl.AI Learn Python with Pickl.AI

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AWS Machine Learning Blog

OCTOBER 28, 2024

Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. SageMaker Model Monitor monitors the quality of SageMaker ML models in production.

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Towards AI

APRIL 10, 2024

How much machine learning really is in ML Engineering? But what actually are the differences between a Data Engineer, Data Scientist, ML Engineer, Research Engineer, Research Scientist, or an Applied Scientist?! Data engineering is the foundation of all ML pipelines. It’s so confusing!

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AWS Machine Learning Blog

DECEMBER 16, 2024

Getting started with SageMaker JumpStart SageMaker JumpStart is a machine learning (ML) hub that can help accelerate your ML journey. 70B through SageMaker JumpStart offers two convenient approaches: using the intuitive SageMaker JumpStart UI or implementing programmatically through the SageMaker Python SDK. Deploying Llama 3.3

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AWS Machine Learning Blog

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Create a custom container image for ML model training and push it to Amazon ECR.

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Towards AI

JANUARY 29, 2025

Photo by Andrea De Santis on Unsplash Artificial Intelligence (AI) has revolutionized the way we interact with technology, and Generative AI is at the forefront of this transformation. Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. What is Generative AI?

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Analytics Vidhya

APRIL 5, 2022

Healthcare Data using AI Medical Interoperability and machine learning (ML) are two remarkable innovations that are disrupting the healthcare industry. This article was published as a part of the Data Science Blogathon. Medical Interoperability along with AI & Machine Learning […].

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AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

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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. Deploy traditional models to SageMaker endpoints In the following examples, we showcase how to use ModelBuilder to deploy traditional ML models.

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IBM Data Science in Practice

JANUARY 9, 2024

One groundbreaking technology that has emerged as a game-changer is asset performance management (APM) artificial intelligence (AI). However, embarking on the journey of implementing artificial intelligence (AI) in your asset performance management strategy can be both exciting and daunting.

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Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

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Analytics Vidhya

DECEMBER 19, 2022

Introduction The world is transforming by AI, ML, Blockchain, and Data Science drastically, and hence its community is growing rapidly. So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions.

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Analytics Vidhya

AUGUST 2, 2022

Introduction In the modern day, where there is a colossal amount of data at our disposal, using ML models to make decisions has become crucial in sectors like healthcare, finance, marketing, etc. Many ML models are black boxes since it is difficult to […]. This article was published as a part of the Data Science Blogathon.

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AWS Machine Learning Blog

AUGUST 12, 2024

Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and gain operational efficiencies at scale. Data is presented to the personas that need access using a unified interface.

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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 is capable of writing and running Python codes. GPTs for Data science are the next step towards innovation in various data-related tasks. What is OpenAI’s GPT Store?

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline.

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Dataconomy

MAY 16, 2023

Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed. Programming skills: Data scientists should be proficient in programming languages such as Python, R, or SQL to manipulate and analyze data, automate processes, and develop statistical models.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

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Flipboard

APRIL 24, 2025

The API is linked to an AWS Lambda function, which implements and orchestrates the processing steps described earlier using a programming language of the users choice (such as Python) in a serverless manner. Thomas Matthew is an AL/ML Engineer at Cisco. Daniel Vaquero is a Senior AI/ML Specialist Solutions Architect at AWS.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at scale. It’s a low-level API available for Java, C++, Go, JavaScript, Node.js, PHP, Ruby, and Python. For that, we are offering improvements in the Python SDK.

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AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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Data Science Dojo

AUGUST 6, 2024

As the artificial intelligence landscape keeps rapidly changing, boosting algorithms have presented us with an advanced way of predictive modelling by allowing us to change how we approach complex data problems across numerous sectors. Boosting algorithms work with these components to enhance ML functionality and accuracy.

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PyImageSearch

JANUARY 13, 2025

Using Python # Load a model model = YOLO("yolo11n.pt") # Predict with the model results = model("[link] First, we load the YOLO11 object detection model. We must note 2 key points: The Python approach gives us more flexibility to integrate the model into larger projects and customize the outputs programmatically. Here, yolo11n.pt

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Towards AI

JANUARY 6, 2025

TOP 20 AI CERTIFICATIONS TO ENROLL IN 2025 Ramp up your AI career with the most trusted AI certification programs and the latest artificial intelligence skills. AGI would mean AI can think, learn, and work just like a human, an incredible leap in artificial intelligence technology.

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