Towards AI

OCTOBER 4, 2023

Last Updated on October 6, 2023 by Editorial Team Author(s): ????Mike Advanced-Data Engineering and ML Ops with Infrastructure as Code This member-only story is on us. This article is for data and ML Ops engineers who would want to deploy and update ML pipelines using CloudFormation templates.

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AWS Machine Learning Blog

MAY 23, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses.

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ODSC - Open Data Science

AUGUST 3, 2023

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. Check them out here.

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Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices.

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IBM Journey to AI blog

MAY 26, 2023

The role of AWS and cloud security in life sciences However, with greater power comes great responsibility. Most life sciences companies are raising their security posture with AWS infrastructure and services. Organizations like Moderna and Bristol Myers Squibb have chosen AWS to run their regulated workloads.

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AWS Machine Learning Blog

FEBRUARY 1, 2023

In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium —a purpose-built machine learning (ML) accelerator optimized to provide a high-performance, cost-effective, and massively scalable platform for training deep learning models in the cloud.

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Mlearning.ai

FEBRUARY 2, 2023

How I cleared AWS Machine Learning Specialty with three weeks of preparation (I will burst some myths of the online exam) How I prepared for the test, my emotional journey during preparation, and my actual exam experience Certified AWS ML Specialty Badge source Introduction:- I recently gave and cleared AWS ML certification on 29th Dec 2022.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. are the sessions dedicated to AWS DeepRacer ! are the sessions dedicated to AWS DeepRacer !

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Mlearning.ai

DECEMBER 22, 2023

You can jump AWS authentication steps if you're already in AWS 's environment. Harwarde requirements We ran an experiment ran in the ml.g5.24xlarge AWS instance which contains 8x A10g GPUs with a proprietary curated instructions dataset with domain-specific applications. 1.46k [00:00<? . 1.46k [00:00<?, ?B/s]

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AWS Machine Learning Blog

JULY 24, 2023

In this post we walk you through the process of deploying FastAPI model servers on AWS Inferentia devices (found on Amazon EC2 Inf1 and Amazon EC Inf2 instances). Each AWS Inferentia1 device contains four NeuronCores-v1 and each AWS Inferentia2 device contains two NeuronCores-v2. For example, NEURON_RT_NUM_CORES=2 myapp.py

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Flipboard

NOVEMBER 28, 2023

In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities. She also helps internal teams and AWS customers get started on their responsible AI journey. In this post, we focus on AI system risk, primarily.

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ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. However, each year the skills and certainly the platforms change somewhat.

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ODSC - Open Data Science

MARCH 27, 2023

Learn about the flow, difficulties, and tools for performing ML clustering at scale Ori Nakar | Principal Engineer, Threat Research | Imperva Given that there are billions of daily botnet attacks from millions of different IPs, the most difficult challenge of botnet detection is choosing the most relevant data.

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ODSC - Open Data Science

JUNE 7, 2023

ODSC East 2023 might be over, but you can still find recordings of the virtual sessions on-demand on Ai+ Training. You can watch all of the sessions outlined below here for free , and you can watch the keynotes and demo talks for free here. Interactive Explainable AI Meg Kurdziolek, PhD | Staff UX Researcher | Intrinsic.ai

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ODSC - Open Data Science

FEBRUARY 27, 2024

We can, however, share a few of our most popular ODSC East 2023 sessions. ODSC East 2024 is coming up quickly and it’s time to get excited. Unfortunately, we have not yet cracked the code for time travel, so we can’t share recordings from East 2024. Enjoy the videos here whenever you want!

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ODSC - Open Data Science

FEBRUARY 17, 2023

NLP Skills for 2023 These skills are platform agnostic, meaning that employers are looking for specific skillsets, expertise, and workflows. TensorFlow is desired for its flexibility for ML and neural networks, PyTorch for its ease of use and innate design for NLP, and scikit-learn for classification and clustering.

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Mlearning.ai

APRIL 6, 2023

Automate and streamline our ML inference pipeline with SageMaker and Airflow Building an inference data pipeline on large datasets is a challenge many companies face. SageMaker Batch Job Allows you to run batch inference on large datasets and generate predictions in a batch mode using machine learning (ML) models hosted in SageMaker.

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AWS Machine Learning Blog

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. To show you an example of switching between hybrid and semantic (vector) search options, we have created a knowledge base using the Amazon 10K document for 2023. billion for 2021, 2022, and 2023. billion, $6.1 billion, $6.1

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ODSC - Open Data Science

AUGUST 11, 2023

EVENT — ODSC APAC 2023 Virtual Conference: August 22–23rd, 2023 Join us for a deep dive into the latest data science and AI trends, tools and techniques: from LLMs to data analytics and from machine learning to responsible AI.

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AWS Machine Learning Blog

NOVEMBER 26, 2023

Amazon Personalize is excited to announce the new Next Best Action ( aws-next-best-action ) recipe to help you determine the best actions to suggest to your individual users that will enable you to increase brand loyalty and conversion. All your data is encrypted to be private and secure.

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Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. A python ml library is a collection of functions and data that can use to solve problems.

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ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. As a machine learning library, pandas is powerful for data analysis and manipulation, earning it a spot as the only ML library on the list. Cloud Services: Google Cloud Platform, AWS, Azure.

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ODSC - Open Data Science

JUNE 8, 2023

We’re a few weeks removed from ODSC East 2023 and we couldn’t have left on a better note. Here are some highlights from ODSC East 2023, including some pictures of speakers and attendees, popular talks, and a summary of what kept people busy. That’s it for our ODSC East 2023 highlights!

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Towards AI

JUNE 27, 2023

Last Updated on July 7, 2023 by Editorial Team Author(s): Anirudh Mehta Originally published on Towards AI. This article is part of the AWS SageMaker series for exploration of ’31 Questions that Shape Fortune 500 ML Strategy’. AWS SageMaker Feature Store provides an effective way to store, track, and share these features.

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AWS Machine Learning Blog

JUNE 8, 2023

Data scientists need a consistent and reproducible environment for machine learning (ML) and data science workloads that enables managing dependencies and is secure. AWS Deep Learning Containers already provides pre-built Docker images for training and serving models in common frameworks such as TensorFlow, PyTorch, and MXNet.

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AWS Machine Learning Blog

APRIL 9, 2024

In the following sections, we explain how you can use these features with either the AWS Management Console or SDK. We used Amazon 10K document for 2023 as the source data for creating the knowledge base. Suyin Wang is an AI/ML Specialist Solutions Architect at AWS. In her spare time, she loves singing and cooking.

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ODSC - Open Data Science

MAY 5, 2023

Amazon Web Services Aka AWS, Amazon Web Services often ranks as the most popular data science cloud option on many lists and job descriptions. AWS is also ideal for data scientists, as there are many other machine learning services and tools available to compliment its cloud offerings.

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AWS Machine Learning Blog

OCTOBER 31, 2023

In early 2023, when Schneider Electric decided to automate part of its accounts linking process using artificial intelligence (AI), the company partnered with the AWS Machine Learning Solutions Lab (MLSL). He specializes in delivering high-value AI/ML initiatives to many business functions within North America.

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AWS Machine Learning Blog

DECEMBER 5, 2023

AWS is especially well suited to provide enterprises the tools necessary for deploying LLMs at scale to enable critical decision-making. Protopia AI has partnered with AWS to deliver the critical component of data protection and ownership for secure and efficient enterprise adoption of generative AI.

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Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business.

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AWS Machine Learning Blog

DECEMBER 14, 2023

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart , a machine learning (ML) hub offering models, algorithms, and solutions. AWS provides a plethora of options and services to facilitate this endeavor.

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ODSC - Open Data Science

AUGUST 15, 2023

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib.

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AWS Machine Learning Blog

AUGUST 2, 2023

SageMaker Distribution is a pre-built Docker image containing many popular packages for machine learning (ML), data science, and data visualization. In May 2023, we launched SageMaker Distribution as an open-source project at JupyterCon. In her 4 years at AWS, she has helped set up AI/ML platforms for enterprise customers.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

We analyzed around 215 matches from the Bundesliga 2022–2023 season. Let’s look at some examples from the current season (2023–2024) The following videos show examples of measured shots that achieved top-speed values. To delve deeper into the partnership between AWS and Bundesliga, please visit Bundesliga on AWS !

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AWS Machine Learning Blog

APRIL 17, 2023

Machine learning (ML) plays a crucial role in detecting fraud because it can quickly and accurately analyze large volumes of data to identify anomalous patterns and possible fraud trends. In ML, a lack of significant historical data to train a model is called the cold start problem.

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Precisely

MAY 16, 2024

At the 2023 Gartner IT Symposium Research Super Focus Group, only 4% say their data is AI-ready. See how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data. You’re not alone. How do you begin to tackle these issues?

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AWS Machine Learning Blog

JULY 21, 2023

Amazon SageMaker makes it easier for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. The tool makes it easier to access geospatial data sources, run purpose-built processing operations, apply pre-trained ML models, and use built-in visualization tools faster and at scale.

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