Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are a variety of algorithms that can help solve problems. Any competent software engineer can implement any algorithm. 12, 2014. [3]

Software Engineer 95

Software Engineer Machine Learning Neural Network Artificial Intelligence 95

AWS Machine Learning Blog

NOVEMBER 16, 2023

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. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

Data Scientist 112

Data Scientist ML Data Science Automation 112

TheSequence

JULY 12, 2023

After my post-doc I went to work for a string of small European startups before moving to the US in 2014 and joining Instacart where I led engineering teams dealing with payments and orders, and dabbled in MLOps. In 2018, I joined Cruise and cofounded the ML Infrastructure team there.

ML 97

ML Python Machine Learning Metadata 97

AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers to explain the predictions of their ML models.

Explainability 82

Explainability Natural Language Processing Algorithm Machine Learning 82

Viso.ai

DECEMBER 21, 2023

Each of these individuals serves as an inspiration for aspiring AI and ML engineers breaking into the field. His contributions to ML, deep learning , computer vision, and NLP underscore his influence in the rapidly evolving AI landscape. We ranked these individuals in reverse chronological order.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

Data Scientist 52

Data Scientist Machine Learning Computer Vision ML 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

Data Scientist 52

Data Scientist Machine Learning Computer Vision ML 52