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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Pickl AI

JANUARY 29, 2024

As we navigate this landscape, the interconnected world of Data Science, Machine Learning, and AI defines the era of 2024, emphasising the importance of these fields in shaping the future. ’ As we navigate the expansive tech landscape of 2024, understanding the nuances between Data Science vs Machine Learning vs ai.

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Women in Big Data

JANUARY 24, 2023

Women in Big Data Northwest chapter hosted a Python-AI-ML workshop, this Data Science hands-on workshop focused on Data Science Life Cycle concepts, Python, and AI/ML technical skills. He has a Bachelor’s Degree in both Computer Science and Philosophy.

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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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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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Dataconomy

MAY 2, 2023

What do machine learning engineers do: ML engineers design and develop machine learning models The responsibilities of a machine learning engineer entail developing, training, and maintaining machine learning systems, as well as performing statistical analyses to refine test results. Is ML engineering a stressful job?

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Machine Learning (Theory)

JULY 19, 2021

She was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years. She was the co-founder, co-CEO and President of Coursera, and the Chief Computing Officer of Calico, an Alphabet company in the healthcare space.

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Dataversity

OCTOBER 18, 2022

While humans may be the most intellectual creations and sit atop the “food chain,” artificial intelligence (AI) is a branch of computer science that can simulate human intelligence in many cases. AI is implemented via machine learning (ML) and performs tasks traditionally executed by humans.

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Flipboard

OCTOBER 2, 2023

The more physicists use artificial intelligence and machine learning, the more important it becomes for them to understand why the technology works …

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ODSC - Open Data Science

APRIL 13, 2023

4 Reasons Why Declarative ML Makes Sense for Engineers In this blog post, we’re going to cover Ludwig, an open-source declarative ML framework, and four reasons why this approach makes sense for every engineer interested in ML.

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Mlearning.ai

JULY 21, 2023

Do you want to learn to compute to solve problems in Science, Mathematics, engineering, etc then this course is for you! Continue reading on MLearning.ai »

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Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Soft skills are important in computer science careers as well. Author(s): Jennifer Wales Originally published on Towards AI.

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NYU Center for Data Science

JUNE 8, 2023

The free week-long course was launched and generously funded by the NYU ML² Machine Learning for Language Lab and organized by students from the CDS and NYU’s Courant Institute. It includes hands-on labs and lectures taught by renowned researchers in the fields of artificial intelligence and machine learning.

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Flipboard

SEPTEMBER 25, 2023

Being a compiled language, C++ can translate into machine code before execution, making it ideal for computationally intensive jobs like training …

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Towards AI

AUGUST 24, 2023

Common mistakes and misconceptions about learning AI/ML Markus Spiske on Unsplash A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. Trying to code ML algorithms from scratch.

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ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

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Analytics Vidhya

JUNE 12, 2023

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

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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. They’re looking for people who know all related skills, and have studied computer science and software engineering.

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Flipboard

MAY 16, 2023

In my last project, I had to come up with some code and algorithm to solve an interesting problem. I realized that it could lead to some …

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Flipboard

SEPTEMBER 7, 2023

Brands are under immense pressure to advance and evolve as customer buying trends change, budgets shrink, and broad economic factors become increasingly complicated. In response, many companies are turning to emerging applications of well-known technologies like artificial intelligence (AI) and …

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AWS Machine Learning Blog

APRIL 19, 2024

Amazon Personalize accelerates your digital transformation with machine learning (ML), making it effortless to integrate personalized recommendations into existing websites, applications, email marketing systems, and more. A solution version refers to a trained ML model. All your data is encrypted to be private and secure.

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Dataconomy

FEBRUARY 22, 2023

The systems can only “understand” specific situations they have been exposed to in the past and are unable to generalize in a way that humans find easy, said Stuart Russell, a computer science professor at the University of California, Berkeley.

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Flipboard

JUNE 5, 2023

Apple prefers using "machine learning," or just having AI work in the background. Amid notable new products like the Apple Silicon Mac Pro and the …

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AWS Machine Learning Blog

NOVEMBER 22, 2023

The IDP Well-Architected Custom Lens follows the AWS Well-Architected Framework, reviewing the solution with six pillars with the granularity of a specific AI or machine learning (ML) use case, and providing the guidance to tackle common challenges. Model monitoring The performance of ML models is monitored for degradation over time.

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Flipboard

DECEMBER 12, 2023

Explore the future of data science, including trends in data science tools, frameworks, and jobs. Discover the transformative potential of Quantum Computing in data analysis, ML, and beyond.

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Flipboard

SEPTEMBER 4, 2023

In a review published in Engineering, scientists explore the burgeoning field of machine learning (ML) and its applications in chemistry.

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Google Research AI blog

APRIL 19, 2023

This transformative potential requires us to be responsible not only in how we advance our technology, but also in how we envision which technologies to build, and how we assess the social impact AI and ML-enabled technologies have on the world. Below, we share examples of our approach to Responsible AI and where we are headed in 2023.

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AWS Machine Learning Blog

OCTOBER 30, 2023

About the Authors Ram Vittal is a Principal ML Solutions Architect at AWS. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. Michael Daniels is an AI/ML Specialist at AWS.

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Flipboard

DECEMBER 5, 2023

Available as a Python package, the framework allows users to integrate AI — from machine learning (ML) models to their … San Francisco-based SuperDuperDB, an Intel Ignite portfolio company working to simplify how teams build and deploy AI apps, today released version 0.1 of its open-source framework.

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NYU Center for Data Science

JULY 18, 2023

MaD & MaD+ The Math and Data (MaD) group is a collaboration between CDS and the NYU Courant Institute of Mathematical Sciences. ML² The Machine Learning for Language (ML²) group works on machine learning methods for natural language processing (NLP) through developing cutting-edge models and engaging in research.

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Flipboard

NOVEMBER 26, 2023

Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. In September, we made available Amazon Bedrock, the easiest way to build and scale generative […]

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Flipboard

MARCH 6, 2023

With artificial intelligence and machine learning (AI/ML) processors and coprocessors roaring across the embedded edge product landscape, the quest continues for high-performance technology that can run a wide range of AI/ML models with very low power consumption. Brainchip has been marketing a …

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Flipboard

APRIL 28, 2023

After the release of ChatGPT, artificial intelligence (AI), machine learning (ML) and large language models (LLMs) have become the number one topic of discussion for cybersecurity practitioners, vendors and investors alike. This is no surprise; as Marc Andreessen noted a decade ago, software is …

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Flipboard

DECEMBER 19, 2023

Machine learning (ML) has become critical for post-acquisition data analysis in (scanning) transmission electron microscopy, (S)TEM, imaging and spectroscopy. The effective use of ML in electron microscopy now requires the development of strategies for microscopy-centric experiment workflow design and optimization.

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Flipboard

JULY 10, 2023

Over time, many enterprises have built an on-premises cluster of servers, accumulating data, and then procuring more servers and storage. They often …

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AWS Machine Learning Blog

MARCH 30, 2023

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. ML model optimized for annotators A tremendous number of high-performing object detection models have been proposed by the computer vision community in recent years.

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AWS Machine Learning Blog

MAY 10, 2023

In this post, we share how Sleepme used Amazon SageMaker to developed a machine learning (ML) model proof of concept that recommends temperatures to maximize your sleep score. This use case demanded an ML model that served real-time inference. It provides a set of ML capabilities that run on a managed infrastructure on AWS.

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