DataRobot Blog

APRIL 29, 2022

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. The Framework for ML Governance. More on this topic. Download now. The post What is Model Risk and Why Does it Matter?

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Heartbeat

AUGUST 23, 2023

Artificial intelligence in law: The state of play 2016. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Natural Language Engineering , 25 (1), 211–217.

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DrivenData Labs

DECEMBER 13, 2022

head () Out[4]: uid latitude longitude date split 0 aabm 39.080319 -86.430867 2018-05-14 train 1 aabn 36.559700 -121.510000 2016-08-31 test 2 aacd 35.875083 -78.878434 2020-11-19 train 3 aaee 35.487000 -79.062133 2016-08-24 train 4 aaff 38.049471 -99.827001 2019-07-23 train In [5]: metadata. In [4]: metadata = pd. value_counts ().

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Mlearning.ai

MARCH 22, 2023

I used the spreadsheet script example, and verified it using a script from a great blog post ( [link] ). Step 3: Copy-paste an example Google Script template The Google github page of samples ( [link] ) can be a helpful and fast way to setup your project. Bruce Mcpherson. BECOME a WRITER at MLearning.ai

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AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. It is challenging to centralize such data for ML due to privacy requirements, high cost of data transfer, or operational complexity. In this blog, you will learn to build a cloud-native FL architecture on AWS.

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DataRobot Blog

MARCH 10, 2022

The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. With, now, native Python support delivered through Snowpark for Python, developers can leverage the vibrant collection of open-source data science and machine learning packages that have become household names, even at leading AI/ML enterprises.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Photo by Scott Webb on Unsplash Determining the value of housing is a classic example of using machine learning (ML). Almost 50 years later, the estimation of housing prices has become an important teaching tool for students and professionals interested in using data and ML in business decision-making.

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AWS Machine Learning Blog

JUNE 18, 2024

The solution addressed in this blog solves Afri-SET’s challenge and was ranked as the top 3 winning solutions. The attempt is disadvantaged by the current focus on data cleaning, diverting valuable skills away from building ML models for sensor calibration. She holds 30+ patents and has co-authored 100+ journal/conference papers.

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Heartbeat

FEBRUARY 2, 2024

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Emails: dorarad@cs.stanford.edu (Drew A. Hudson), manning@cs.stanford.edu (Christopher D. Dataset Website: visualreasoning.net.

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Iguazio

DECEMBER 5, 2023

Successfully training AI and ML models relies not only on large quantities of data, but also on the quality of their annotations. In this blog post, we bring the top 23 free human-annotated datasets you can use for your model training and evaluation. Human annotation helps advance ML and AI model training and evaluation.

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DrivenData Labs

SEPTEMBER 10, 2024

Many teams combined technical skills in AI/ML with domain knowledge in neuroscience, aging, or healthcare. Paola Ruíz Puente is a Biomedical Engineer amd the AI/ML manager at IGC Pharma. Pablo Arbeláez is a distinguished researcher with over 20 years of experience using AI/ML in medicine, biology, and computer vision.

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AWS Machine Learning Blog

JULY 15, 2024

About the Authors Na Yu is a Lead GenAI Solutions Architect at Mission Cloud, specializing in developing ML, MLOps, and GenAI solutions in AWS Cloud and working closely with customers. She specializes in leveraging AI and ML to drive innovation and develop solutions on AWS. Partner Solutions Architect at AWS, specializing in AI/ML.

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DrivenData Labs

MARCH 30, 2023

His interests are in privacy-preserving machine learning, particularly in the areas of differential privacy, ML security, and federated learning. Qin joined ZS in 2016, where he has been focusing on helping clients realize the value of their RWD and AI investment in R&D through our strategy, data science, and technology capabilities.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. For example, in the healthcare industry, ML-driven analytics can be used for diagnostic assistance and personalized medicine, while in health insurance, it can be used for predictive care management.

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AWS Machine Learning Blog

MARCH 29, 2023

there is enormous potential to use machine learning (ML) for quality prediction. ML-based predictive quality in HAYAT HOLDING HAYAT is the world’s fourth-largest branded baby diapers manufacturer and the largest paper tissue manufacturer of the EMEA. After the data preparation phase, a two-stage approach is used to build the ML models.

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ML Review

JUNE 4, 2018

Source : Britz (2016)[ 62 ] CNNs can encode abstract features from images. Figure 14 : Beam search example Source : Geeky is Awesome (2016)[ 66 ] For example, at the first word prediction output step, a higher probability sentence might be outputted overall by choosing the word with a lower probability than the word with the highest.

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

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Heartbeat

MAY 11, 2023

The first version of YOLO was introduced in 2016 and changed how object detection was performed by treating object detection as a single regression problem. There’s no paper for YOLO-NAS, but a technical blog details the architecture and training procedure. ? YOLO-NAS Technical Blog ↪️ ?️ YOLO-NAS Starter Notebook ↪️️ ?️

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

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Heartbeat

JUNE 14, 2023

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Eighth JPL Airborne Geoscience Workshop. 4] Szegedy, Christian, et al. Rethinking the inception architecture for computer vision.

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Pickl AI

MAY 16, 2023

In this blog, we will be uncovering the how you can optimize Data Scientist LinkedIn profile for Indian market , as well as approach a global audience. Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. So, how do you achieve this result? Let’s unfold the answer to the same.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

In 2016, Db2 for z/OS moved to a continuous delivery model that provides new capabilities and enhancements through the service stream in just weeks (and sometimes days) instead of multi-year release cycles. Overall, this supports millions of inserts a second, trillions of rows in a single table and more.

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Mlearning.ai

FEBRUARY 16, 2023

In 2016, AlphaGo (by Google DeepMind) beat Lee Sedol, one of the strongest Go players in the world. This blog gives a detailed demonstration of how to download and preprocess stock OHLCV data into the form that we could use in the further steps. It shows the high potential of RL in games and decision making tasks. Please star.

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Mlearning.ai

FEBRUARY 17, 2023

Using R I will show in this blog how I translated the Dutch reviews into English and then applied semantic analysis to gain a more in-depth understanding of how certain products and product families were appraised across time and place. For a commercial company, I started analyzing the reviews coming from three major platforms.

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Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. A key research question is whether ML models can learn to solve complex problems using multi-step reasoning.

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The MLOps Blog

JANUARY 26, 2024

TL;DR Feedback integration is crucial for ML models to meet user needs. A robust ML infrastructure gives teams a competitive advantage. I started my ML journey as an analyst back in 2016. Mailchimp’s ML Platform: genesis, challenges, and objectives Mailchimp is a 20-year-old bootstrapped email marketing company.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

About the authors Jeff Demuth is a solutions architect who joined Amazon Web Services (AWS) in 2016. Try downloading our sample code and adding your own agents and tools for your geospatial tasks. He focuses on the geospatial community and is passionate about geographic information systems (GIS) and technology.

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Snorkel AI

MARCH 1, 2023

This model debuted in June 2020, but remained a tool for researchers and ML practitioners until its creator, OpenAI, debuted a consumer-friendly chat interface in November 2022. 2016) This paper introduced DCGANs, a type of generative model that uses convolutional neural networks to generate images with high fidelity.

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Mlearning.ai

MARCH 2, 2023

This blog post promises to be easier to understand than the underlying research paper, especially for readers not that familiar with the field. Therefore, you should make sure to have a good understanding of BERT when engaging with current NLP research — I hope this blog post could help you with that. References [1] Devlin, J.,

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AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from documents.

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Snorkel AI

FEBRUARY 17, 2023

I share this because it shows where things were in 2016; it was exciting to find one label error. At the time, back in 2016, the MNIST dataset had been cited 30,000 times. We wanted to know if practitioners are unknowingly benchmarking ML using erroneous test sets. At this time, that was a big deal. The answer is yes.

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Snorkel AI

FEBRUARY 17, 2023

I share this because it shows where things were in 2016; it was exciting to find one label error. At the time, back in 2016, the MNIST dataset had been cited 30,000 times. We wanted to know if practitioners are unknowingly benchmarking ML using erroneous test sets. At this time, that was a big deal. The answer is yes.

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ML Review

MAY 3, 2018

2016) — “ LipNet: End-to-End Sentence-level Lipreading.” [17] Source : Brueckner (2016) [28] By predicting the alphabet characters and an additional “_” (space) character, it’s possible to generate a word prediction by removing repeated letters and empty spaces, as can be seen in fig. 5 for the classification of the word “please”.

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AWS Machine Learning Blog

JANUARY 31, 2024

Overview In 2016, a new era of innovation began when Mendix announced a strategic collaboration with AWS. This pivotal service, accompanied by a wealth of shared knowledge via samples and blog posts, has paved a frictionless path for integration. Suresh Patnam is the principal GTM Specialist AI/ML and Generative AI at AWS.

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Alation

FEBRUARY 1, 2022

Between 2016 and 2019, robot-vacuum cleaner sales jumped by 13% year over year. Sheer volume of data makes automation with Artificial Intelligence & Machine Learning (AI & ML) an imperative. But to improve and automate complex processes, AI & ML are key. Subscribe to Alation's Blog. Curious to learn more?

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AWS Machine Learning Blog

JULY 13, 2023

arXiv preprint arXiv:1609.04836 (2016). [3] About the Author Uri Rosenberg is the AI & ML Specialist Technical Manager for Europe, Middle East, and Africa. Based out of Israel, Uri works to empower enterprise customers to design, build, and operate ML workloads at scale. International Conference on Machine Learning.

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