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.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

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.

Machine Learning 96

Machine Learning Machine Learning Data Science Python 96

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.

Data Scientist 98

Data Scientist Citizen Data Scientist Data Science AI 98

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.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

The MLOps Blog

MARCH 14, 2023

When working on real-world ML projects , you come face-to-face with a series of obstacles. The ml model reproducibility problem is one of them. This is indeed an erroneous thing to do when working on ML projects at scale. To back this up, here is the Nature survey conducted in 2016.

ML 52

ML ML Machine Learning Machine Learning 52

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?”.

ML 52

ML ML Machine Learning Machine Learning 52

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.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

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.

Machine Learning 70

Machine Learning Machine Learning AWS Apache Kafka 70

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.

AWS 97

AWS Machine Learning Machine Learning Data Quality 97

Mlearning.ai

APRIL 10, 2023

2016) Data Management : By allowing clustering to occur locally, edge devices in the network can enable near-real-time data analysis in order to make data-driven decisions Energy : Clustering methods have been known to be more energy efficient when it comes to data transmission and processing (Loganathan & Arumugan, 2021). 2016.2545384.

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

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.

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

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?

Machine Learning 111

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 111

Mlearning.ai

JULY 2, 2023

I finished to EDA & Time Series Analysis, I will build some ML or DL model. In addition, I aim to reveal valuable patterns and trends in the data set by examining the statistical properties of numerical variables. The residuals show the deviation levels around the data. In the expected case, the mean of the residues around zero is 0.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis Data Visualization 52

Mlearning.ai

JULY 9, 2023

⏱️Performance benchmarking Let’s try it on Kaggle competition dataset based on the 2016 NYC Yellow Cab trip record data and see the numbers using different libraries. BECOME a WRITER at MLearning.ai // invisible ML // 800+ AI tools Mlearning.ai Automatic query optimization in lazy mode. pip isntall pandas # pandas==2.0.3 %pip

Data Analysis 52

Data Analysis Data Analysis Python Data Wrangling 52

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 ().

ML 130

ML ML Python Deep Learning 130

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].

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Heartbeat

SEPTEMBER 13, 2023

Explainability and Auditability in ML: Definitions, Techniques, and Tools || Neptune.ai 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. Russell, C. & & Watcher, S. Blog Mahmood, A.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

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. The ML framework used at FL clients is TensorFlow.

AWS 93

AWS ML ML Algorithm 93

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.

AWS 87

AWS ML ML Machine Learning 87

Mlearning.ai

FEBRUARY 11, 2023

2016) Statistics in Plain English. If you like this article, please clap. If you wish to read similar articles from me, please follow me to receive an email whenever I publish a new article. References: Urdan, T. Taylor and Francis. Available at: [link] (Accessed: 25 November 2022). BECOME a WRITER at MLearning.ai

Python 52

Python ML ML Data Science 52

Mlearning.ai

JANUARY 27, 2023

S094: Computer Vision by Lex Fridman ☆ CNN Architectures by Michigan online ☆ Tensorflow Object Detection by Nicholas Renotte ☆ Detection and Segmentation by Stanford ☆ CNN by Andrej Karpathy (2016) ☆ CNN by Stanford University School of Engineering (2017) ☆ Introduction to Deep Learning and Self-Driving Cars by Lex Fridman [MIT 6.S094]

Deep Learning 98

Deep Learning Deep Learning Python Data Scientist 98

Mlearning.ai

MARCH 22, 2023

References Google Fit API streaming to Google Sheet tutorial : [link] Google Codelabs for tutorials: [link] Sample Templates for Google Apps Scripts programs: [link] Going GAS From VBA to Google Apps Script. Bruce Mcpherson. BECOME a WRITER at MLearning.ai

Data Scientist 52

Data Scientist Azure Python Database 52

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.

Natural Language Processing 52

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 52

Dataconomy

APRIL 18, 2023

Undetectable backdoors can be implemented in any ML algorithm Machine learning Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and models that can learn from data and make predictions or decisions. AlphaGo , the AI program that defeated the world champion at the game of Go in 2016.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

O'Reilly Media

APRIL 23, 2024

Since launching its Marketplace advertising business in 2016, Amazon has chosen to become a “pay to play” platform where the top results are those that are most profitable for the company. Cory Doctorow calls this the “enshittification” of Big Tech platforms.

Algorithm 108

Algorithm AI AI Cloud Computing 108

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.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

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.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

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.

ML 70

ML ML AWS Machine Learning 70

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.

AWS 74

AWS ML ML Machine Learning 74

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.”

AI 52

AI AI ML ML 52

Snorkel AI

MAY 3, 2023

A fun story that I want to share—I remember back in 2016-2017ish when we started working on this problem and submitted one of our first papers on OOD detection called Odin to the conference. This out-of-distribution detection problem has become very important. We need some efficient methods for detecting OOD with high accuracy as well.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

MAY 3, 2023

A fun story that I want to share—I remember back in 2016-2017ish when we started working on this problem and submitted one of our first papers on OOD detection called Odin to the conference. This out-of-distribution detection problem has become very important. We need some efficient methods for detecting OOD with high accuracy as well.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Dataconomy

MARCH 12, 2024

In 2016 MobiDev started its collaboration with a startup that is involved in the travel industry being an official partner of such giants as AirBus, Kiwi, and OAG. MobiDev covers a full cycle of iOS app development, which includes processing data received from the existing BeONE Sports ML models, video rendering, and in-app purchases.

AI 113

AI AI Machine Learning Machine Learning 113

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.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

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.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

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.

ML 66

ML ML Deep Learning Deep Learning 66