Dataconomy

FEBRUARY 22, 2023

The decisive victory comes seven years after the AI system AlphaGo, devised by Google-owned research company DeepMind, defeated the world Go champion Lee Sedol by four games to one in 2016. Sedol attributed his retirement from Go three years later to the rise of AI, saying that it was “an entity that cannot be defeated.”

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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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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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DataRobot

MAY 11, 2021

Founded in 2016 by the creator of Apache Zeppelin, Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala. Stay tuned.

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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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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. Human annotation helps advance ML and AI model training and evaluation. As such, human annotation is an important step in building successful AI and ML systems. Get the dataset here.

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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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Towards AI

FEBRUARY 27, 2024

Looking ahead, it has served the ML community a lot while building different Natural Language Understanding tools and models as a high-quality curated corpus of information. The open-source movement gained hold with the rise of the Internet, and it has since grown into a vibrant scene with many contributors and projects.

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ML @ CMU

DECEMBER 1, 2023

Interestingly, the rate of disagreement between reviews of papers measured in NeurIPS 2016 was in a similar range — 0.25 We say the pair of evaluators agrees on this pair of reviews if both score the same review higher than the other; we say that this pair disagrees if the review scored higher by one evaluator is scored lower by the other.

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ODSC - Open Data Science

FEBRUARY 20, 2023

He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. His research interests bridge the computational, statistical, cognitive, biological, and social sciences.

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DagsHub

APRIL 7, 2024

These pipelines cover the entire lifecycle of an ML project, from data ingestion and preprocessing, to model training, evaluation, and deployment. Adopted from [link] In this article, we will first briefly explain what ML workflows and pipelines are. around the world to streamline their data and ML pipelines.

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AWS Machine Learning Blog

MARCH 30, 2023

While being the well-deserved Switzerland’s #1 since 2016, time will tell whether he pushes Manuel Neuer off the throne in Munich. The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies. Fotinos Kyriakides is an ML Engineer with AWS Professional Services.

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How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. Microsoft’s Tay Chatbot Misfire Microsoft launched an AI chatbot called Tay on Twitter in 2016. Data Quality Factors to Consider So, how can you avoid these types of failures in your ML projects?

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Dataconomy

JUNE 6, 2024

NEAR Protocol incorporates AI and ML into platform systems, where smart contract deployment, network optimization, and security monitoring are performed automatically. It applies high-standard sharding technology to achieve massive trouble-free transaction throughput and low fees, which also tackles the general problems in other blockchains.

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Mlearning.ai

MAY 15, 2023

describe() count 9994 mean 2017-04-30 05:17:08.056834048 min 2015-01-03 00:00:00 25% 2016-05-23 00:00:00 50% 2017-06-26 00:00:00 75% 2018-05-14 00:00:00 max 2018-12-30 00:00:00 Name: Order Date, dtype: object Average sales per year df['year'] = df['Order Date'].apply(lambda Yearly average sales. Convert it into a graph.

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Mlearning.ai

MARCH 15, 2023

The ML model is then used by the user through an API by sending a request to access a specific feature. Federated Learning On the other hand, the FL architecture is different because machine learning is done across multiple edge devices (clients) that collaborate in the training of the ML model.

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AWS Machine Learning Blog

MARCH 28, 2024

News CommonCrawl is a dataset released by CommonCrawl in 2016. News CommonCrawl SEC Filing Coverage 2016-2022 1993-2022 Size 25.8 Publicly listed companies are required to file various documents regularly. This creates a large number of documents over the years. It contains news articles from news sites all over the world.

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ODSC - Open Data Science

OCTOBER 4, 2024

He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, and recipient of the 2001 IEEE Kanai Award for Distributed Computing and the 2016 ACM Software Systems Award. Previously, Ali was the Head of Machine Learning & Worldwide TechLeader for AWS AI / ML specialist solution architects.

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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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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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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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ODSC - Open Data Science

AUGUST 16, 2024

In 2016, he was named the “most influential computer scientist” worldwide in Science magazine. Michael, currently a Distinguished Professor at the University of California, Berkeley, has made significant contributions to the field of AI throughout his extensive career.

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Dataconomy

AUGUST 2, 2024

NEAR Protocol incorporates AI and ML into platform systems, where smart contract deployment, network optimization, and security monitoring are performed automatically. It applies high-standard sharding technology to achieve massive trouble-free transaction throughput and low fees, which also tackles the general problems in other blockchains.

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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. The Role of Automation in Data Governance.

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DagsHub

JULY 25, 2024

This guarantees businesses can fully utilize deep learning in their AI and ML initiatives. You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. Performance and Scalability Consider the platform's training speed and inference efficiency.

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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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Ocean Protocol

MAY 24, 2024

The challenge required a detailed analysis of Google Trends data, integration of additional data sources, and the application of advanced ML methods to predict market behaviors. Participants demonstrated outstanding abilities in utilizing ML and data analysis to probe and predict movements within the cryptocurrency market.

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ODSC - Open Data Science

SEPTEMBER 22, 2023

Rama Akkiraju | VP AI/ML for IT | NVIDIA Rama is a multi-award-winning, and industry-recognized Artificial Intelligence (AI) leader with a proven track record of delivering enterprise-grade innovative products to market by building and leading high-performance engineering teams. Army’s first deployment of 3G and 4G networks.

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Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. This data challenge took NFL player performance data and fantasy points from the last 6 seasons to calculate forecasted points to be scored in the 2024 NFL season that began Sept.

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Google Research AI blog

OCTOBER 25, 2022

Since the initial release of Open Images in 2016, which included image-level labels covering 6k categories, we have provided multiple updates to enrich annotations and expand the potential use cases of the dataset. First, the ML model selected points of interest and asked a yes or no question, e.g., “is this point on a pumpkin?”.

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Google Research AI blog

JANUARY 18, 2023

Language Models Computer Vision Multimodal Models Generative Models Responsible AI* Algorithms ML & Computer Systems Robotics Health General Science & Quantum Community Engagement * Other articles in the series will be linked as they are released. language models, image classification models, or speech recognition models).

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Mlearning.ai

JUNE 16, 2023

ML practitioners, believing they had to match the sheer size of ImageNet, refrained from pre-training with much smaller available medical image datasets, let alone developing new ones. December 10, 2016. The ImageNet task is not necessarily a good indication of success on medical datasets.⁷ Rethinking ImageNet Pre-training.”

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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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Hacker News

FEBRUARY 3, 2023

In time, these misapprehensions would become cursed articles of faith: CPUs get faster every year [ narrator: they do not ] Organisations can manage these complex stacks [ narrator: they cannot ] All of this was falsified by 2016 , but nobody wanted to turn on the house lights while the JS party was in full swing.

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How to Learn Machine Learning

DECEMBER 4, 2022

In 2016, Google released an open-source software called AutoML. Finally, machine learning (ML) is also being used to write code. ML is a type of AI that allows systems to learn from data and improve their performance over time. This means that, as more data is fed into an ML system, the system will become better at writing code.

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ML Review

FEBRUARY 26, 2018

2016 [6] Li J, Monroe W, Ritter A, et al. Behind the Chat: How E-commerce Robot Assistant AliMe Works was originally published in ML Review on Medium, where people are continuing the conversation by highlighting and responding to this story. 5] Mnih V, Badia A P, Mirza M, et al. Asynchronous Methods for Deep Reinforcement Learning[J].

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Pickl AI

MAY 16, 2023

Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. In fact, these industries majorly employ Data Scientists. Most Preferred Skills With the right skill sets, you have a better probability of success.

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