ODSC - Open Data Science

MAY 30, 2023

Be sure to check out his talk, “ ML Applications in Asset Allocation and Portfolio Management ,” there! In 2023-Q1, we even saw failing banks like SVB simply because of investments in “safe” treasury bonds. Editor’s note: Peter Schwendner, PhD is a speaker for ODSC Europe this June.

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ODSC - Open Data Science

FEBRUARY 17, 2023

NLP Skills for 2023 These skills are platform agnostic, meaning that employers are looking for specific skillsets, expertise, and workflows. TensorFlow is desired for its flexibility for ML and neural networks, PyTorch for its ease of use and innate design for NLP, and scikit-learn for classification and clustering.

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ODSC - Open Data Science

MARCH 15, 2023

We’re excited to announce some of the incredible and totally new sessions we have coming to ODSC East May 9th — 11th, 2023 in Boston and online. Register for ODSC East 2023 now. You will find all of these sessions, and many, many more, at ODSC East 2023 on May 9th — 11th. Check out a few of them below.

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Google Research AI blog

APRIL 30, 2023

Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels.

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ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Final ODSC Europe 2023 Schedule Released! Here’s why. Here’s what you can expect from ODSC Europe.

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ODSC - Open Data Science

JULY 22, 2023

We’re a few weeks removed from ODSC Europe 2023 and we couldn’t have left on a better note. Here are some highlights from ODSC Europe 2023, including some pictures of speakers and attendees, popular talks, and a summary of what kept people busy. That’s it for our ODSC Europe 2023 highlights! What’s next?

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ODSC - Open Data Science

APRIL 13, 2023

Botnets Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets Read more to learn about the data flow, the challenges, and the way we get successful results of botnet detection. Top Data Science and AI News: March 2023 From Google’s Bard to GPT-4, March was a big month for data science and AI news.

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ODSC - Open Data Science

JULY 14, 2023

Below you’ll find just a few of the many expert-led sessions at ODSC Europe 2023 that attendees loved — and you can view them for yourself here ! And don’t miss the chance to join us for our upcoming free virtual Generative AI Summit on July 20th and ODSC West 2023 in San Francisco (October 31st-November 3rd). What’s next?

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Dataconomy

MAY 16, 2023

Machine learning techniques: Familiarity with a wide range of machine learning algorithms and techniques allows data scientists to apply appropriate models for predictive analysis, clustering, classification, and recommendation systems.

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Towards AI

MAY 2, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. Use plain English to build ML models to identify profitable customer segments. Perform K-means clustering using income and spending variables, and present the breakdown of spending for each cluster.

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AWS Machine Learning Blog

APRIL 29, 2024

Trainium is the second-generation machine learning (ML) accelerator that AWS purpose built to help developers access high-performance model training accelerators to help lower training costs by up to 50% over comparable Amazon Elastic Compute Cloud (Amazon EC2) instances. Our cluster consisted of 16 nodes, each equipped with a trn1n.32xlarge

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ODSC - Open Data Science

JUNE 7, 2023

Gözde Gül Şahin | Assistant Professor, KUIS AI Fellow | KOC University Fraud Detection with Machine Learning: Laura Mitchell | Senior Data Science Manager | MoonPay Deep Learning and Comparisons between Large Language Models: Hossam Amer, PhD | Applied Scientist | Microsoft Multimodal Video Representations and Their Extension to Visual Language Navigation: (..)

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Towards AI

JULY 22, 2023

Last Updated on July 24, 2023 by Editorial Team Author(s): Cristian Originally published on Towards AI. This is similar to how machine learning (ML) can seem at first. This way, it might end up clustering spam emails together, not because it knew they were spam, but because it found patterns. But don’t worry!

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Snorkel AI

SEPTEMBER 29, 2023

How you develop and use your proprietary data is the key to unlocking its value and to delivering accurate, reliable, and trustworthy AI and ML applications. ML researchers and practitioners at AI startups and large enterprises have relied on curating additional labeled data to achieve better performance on specific tasks.

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ODSC - Open Data Science

AUGUST 15, 2023

You’ll get hands-on practice with unsupervised learning techniques, such as K-Means clustering, and classification algorithms like decision trees and random forest. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

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AWS Machine Learning Blog

FEBRUARY 1, 2023

In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium —a purpose-built machine learning (ML) accelerator optimized to provide a high-performance, cost-effective, and massively scalable platform for training deep learning models in the cloud.

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Explosion

NOVEMBER 28, 2023

Throughout 2023, we have introduced support for Large Language Models (LLMs) through spacy-llm, added customizable task routing, expanded our QA features with inter-annotator agreement metrics, infused more interactivity into the UI, and shared several open-source Prodigy plug-ins with the community. are our biggest in almost two years.

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ODSC - Open Data Science

OCTOBER 13, 2023

After that, he worked as a quant at a hedge fund on a 600 GPU cluster. After studying chemical engineering Jepson worked for Intel/Micron in applied semiconductor building process control and fault models. Taylor is a frequent speaker and writer on AI topics.

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Towards AI

APRIL 5, 2023

Last Updated on April 6, 2023 by Editorial Team Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. The articles cover a range of topics, from the basics of Rust to more advanced machine learning concepts, and provide practical examples to help readers get started with implementing ML algorithms in Rust.

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ODSC - Open Data Science

MAY 29, 2023

Be sure to check out his talk, “ Production ML for Mission-Critical Applications ,” there! Using an ML model in a product, service, or business process means that the model results need to be repeatable and predictable. Editor’s note: Robert Crowe is a speaker for ODSC Europe this June.

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AWS Machine Learning Blog

MAY 23, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses.

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Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Yashashri Shiral Originally published on Towards AI. Sales Prediction| Using Time Series| End-to-End Understanding| Part -2 Sales Forecasting determines how the company invests and grows to create a massive impact on company valuation.

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phData

JUNE 28, 2023

Jenson Huang and Frank Slootman – the CEOs of NVIDIA and Snowflake, respectively – joined each other on stage at Snowflake Summit 2023 to announce a new partnership that will add NVIDIA GPU acceleration to the Snowflake Data Cloud’ s growing list of capabilities. What Does This Mean for Enterprise Data Science and ML Teams?

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AWS Machine Learning Blog

APRIL 17, 2024

Recent developments in machine learning (ML) have led to increasingly large models, some of which require hundreds of billions of parameters. In such distributed environments, observability of both instances and ML chips becomes key to model performance fine-tuning and cost optimization. or later NPM version 10.0.0

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Dataconomy

AUGUST 24, 2023

The year 2023 brings forth a multitude of trends that will shape the BI. Global health expenditure analysis The global health expenditure analysis project harnesses clustering analysis through Power BI and PyCaret. The BI landscape continues to evolve, with innovative projects taking center stage.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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Pickl AI

SEPTEMBER 3, 2023

In 2023, the expected reach of the AI market is supposed to reach the $500 billion mark and in 2030 it is supposed to reach $1,597.1 On the other hand, 48% use ML and AI for gaining insights into the prospects and customers. It identifies regions of high data point density as clusters and flags points with low densities as anomalies.

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Women in Big Data

DECEMBER 13, 2023

The event was part of the chapter’s technical talk series 2023. On December 5th, 2023, Dr Sonal Khosla took us on a journey from where it all began to the most recent Generative AI. NLP Scientist, Linguist, NLP Data Scientist, NLP ML Engineer, Conversational AI Developer, NLP Consultant, Prompt Engineer to name a few.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

We analyzed around 215 matches from the Bundesliga 2022–2023 season. Let’s look at some examples from the current season (2023–2024) The following videos show examples of measured shots that achieved top-speed values. Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster. fast shots.

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phData

DECEMBER 7, 2023

If you’re looking for a starting point for prototyping, you might want to investigate some of the following options: FAISS (Facebook AI Similarity Search) : FAISS is adept at indexing, searching, and clustering large collections of high-dimensional vectors, particularly in image recognition and semantic text search.

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Towards AI

JANUARY 24, 2023

Last Updated on January 25, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Within the first week of 2023, researchers have created a new system for audio data called VALL-E. Three 5-minute reads/videos to keep you learning What’s unsolved in generative AI?Much It […]

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Pickl AI

JANUARY 23, 2023

It is not a good when dealing with RNN (Recurrent Neural Networks) Also See: 5 Machine Learning Algorithms That Every ML Engineer Should know Microsoft CNTK CNTK is a deep learning framework that was created by Microsoft Research. Theano Theano is one of the fastest and simplest ML libraries, and it was built on top of NumPy.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. 2023| New| NA|36895.00|36895|

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AWS Machine Learning Blog

JANUARY 17, 2024

We then discuss the various use cases and explore how you can use AWS services to clean the data, how machine learning (ML) can aid in this effort, and how you can make ethical use of the data in generating visuals and insights. The following reference architecture depicts a workflow using ML with geospatial data.

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ODSC - Open Data Science

NOVEMBER 20, 2023

We wrapped up ODSC West 2023 two weeks ago, and we are still talking about our favorite sessions and the speakers who made us laugh or go “ ah-ha! There were far too many such sessions to include all below.

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Mlearning.ai

FEBRUARY 16, 2023

With the help of Snowflake clusters, organizations can effectively deal with both rush times and slowdowns since they ensure scalability upon demand. Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data. Originally published at [link] on February 9, 2023.

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Google Research AI blog

JULY 23, 2023

Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more.

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