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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Machine Learning Machine Learning Apache Kafka Data Science 52

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: (..)

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

FEBRUARY 1, 2023

Recent developments in deep learning have led to increasingly large models such as GPT-3, BLOOM, and OPT, some of which are already in excess of 100 billion parameters. 32xlarge instance type, launching in early 2023, will increase this bandwidth to 1600 Gbps per instance. trn1.32xlarge 16 512 128 512 800 trn1n.32xlarge

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AWS Clustering Deep Learning Deep Learning 91

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

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Deep Learning Deep Learning Data Scientist Machine Learning 111

Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

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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.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

Data Science Dojo

JANUARY 31, 2024

Facebook AI similarity search (FAISS) FAISS is used for similarity search and clustering dense vectors. PyTorch and TensorFlow These are commonly used deep learning frameworks that offer immense flexibility in building RAG models. IBM used this mechanism during the US Open 2023 for live commentary.

Database 243

Database Natural Language Processing AI AI 243

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.

Machine Learning 94

Machine Learning Machine Learning Support Vector Machines Clustering 94

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. Image Recognition with Deep Learning: Use Python with TensorFlow or PyTorch to build an image recognition model (e.g., ImageNet).

Analytics 40

Analytics Analytics Big Data Big Data 40

PyImageSearch

JANUARY 9, 2023

To learn how to develop Face Recognition applications using Siamese Networks, just keep reading. Jump Right To The Downloads Section Face Recognition with Siamese Networks, Keras, and TensorFlow Deep learning models tend to develop a bias toward the data distribution on which they have been trained. That’s not the case.

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Deep Learning Deep Learning Database Algorithm 103

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Yashashri Shiral Originally published on Towards AI. This is part 2, and you will learn how to do sales prediction using Time Series.

Cross Validation 89

Cross Validation Clustering EDA Data Preparation 89

Towards AI

APRIL 14, 2023

Last Updated on April 17, 2023 by Editorial Team Author(s): Kevin Berlemont, PhD Originally published on Towards AI. The feature space reduction is performed by aggregating clusters of features of balanced size. This clustering is usually performed using hierarchical clustering.

K-nearest Neighbors 88

K-nearest Neighbors Algorithm Clustering Support Vector Machines 88

PyImageSearch

APRIL 3, 2023

Jump Right To The Downloads Section Deploying a Custom Image Classifier on an OAK-D Introduction As a deep learning engineer or practitioner, you may be working in a team building a product that requires you to train deep learning models on a specific data modality (e.g., computer vision) on a daily basis.

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Deep Learning Deep Learning AI AI 64

Pickl AI

SEPTEMBER 3, 2023

Key Takeaways: As of 2021, the market size of Machine Learning was USD 25.58 By 2028, the market value of global Machine Learning is projected to be $31.36 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 CAGR during 2022-2030.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

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.

AI 52

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Towards AI

MAY 3, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. This code can cover a diverse array of tasks, such as creating a KMeans cluster, in which users input their data and ask ChatGPT to generate the relevant code.

ML 81

ML ML Machine Learning Machine Learning 81

Pickl AI

JULY 18, 2023

from 2023 to 2030. Learn Machine Learning and Deep Learning Deepen your understanding of machine learning algorithms, statistical modelling, and deep learning architectures. Explore topics such as regression, classification, clustering, neural networks, and natural language processing.

AI 52

AI AI Machine Learning Machine Learning 52

NYU Center for Data Science

JANUARY 25, 2024

2023’s event, held in New Orleans in December, was no exception, showcasing groundbreaking research from around the globe. In the world of data science, few events garner as much attention and excitement as the annual Neural Information Processing Systems (NeurIPS) conference.

Computer Science 74

Computer Science Computer Science Data Science Supervised Learning 74

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. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects.

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Machine Learning Machine Learning ML ML 134

NYU Center for Data Science

NOVEMBER 15, 2023

We’re excited to announce that many CDS faculty, researchers, and students will present at the upcoming thirty-seventh 2023 NeurIPS (Neural Information Processing Systems) Conference , taking place Sunday, December 10 through Saturday, December 16. The conference will take place in-person at the New Orleans Ernest N.

Data Science 83

Data Science Computer Science Computer Science Supervised Learning 83

ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. Stable Diffusion seems favored, perhaps due to it being largely an open-source model.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Flipboard

FEBRUARY 16, 2023

Modern model pre-training often calls for larger cluster deployment to reduce time and cost. In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS. We use Slurm as the cluster management and job scheduling system.

Clustering 106

Clustering AWS Deep Learning Deep Learning 106

PyImageSearch

JUNE 19, 2023

Clustering Clustering is a class of algorithms that segregates the data into a set of definite clusters such that similar points lie in the same cluster and dissimilar points lie in different clusters. Several clustering algorithms (e.g., means and spectral clustering) can be used in recommendation engines.

K-nearest Neighbors 56

K-nearest Neighbors Clustering Algorithm Deep Learning 56

Pickl AI

JANUARY 23, 2023

It is mainly used for deep learning applications. PyTorch PyTorch is a popular, open-source, and lightweight machine learning and deep learning framework built on the Lua-based scientific computing framework for machine learning and deep learning algorithms.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Becoming Human

MAY 15, 2023

Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided. Performance Metrics These are used to evaluate the performance of a machine-learning algorithm. Some popular libraries used for deep learning are Keras , PyTorch , and TensorFlow.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Flipboard

JULY 10, 2023

Figure 3: Latent space visualization of the closet (source: Kumar, “Autoencoder vs Variational Autoencoder (VAE): Differences,” Data Analytics , 2023 ). Figure 5: Architecture of Convolutional Autoencoder for Image Segmentation (source: Bandyopadhyay, “Autoencoders in Deep Learning: Tutorial & Use Cases [2023],” V7Labs , 2023 ).

Deep Learning 110

Deep Learning Deep Learning Machine Learning Machine Learning 110

Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This list will consist of Machine learning projects, Deep Learning Projects, Computer Vision Projects , and all other types of interesting projects with source codes also provided. This is a simple project.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

IBM Journey to AI blog

APRIL 18, 2024

According to Andreessen Horowitz (link resides outside IBM.com ) , in 2023, the average spend on foundation model application programming interfaces (APIs), self-hosting and fine-tuning models across surveyed companies reached USD 7 million. AGI analyzes vast data sets from telescopes and simulations.

AI 95

AI AI Computer Science Computer Science 95

Dataconomy

MAY 16, 2023

Mathematical and statistical knowledge: A solid foundation in mathematical concepts, linear algebra, calculus, and statistics is necessary to understand the underlying principles of machine learning algorithms. Data scientists, in turn, rely on the expertise of machine learning engineers to implement their analytical solutions effectively.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

PyImageSearch

OCTOBER 2, 2023

Jump Right To The Downloads Section A Deep Dive into Variational Autoencoder with PyTorch Introduction Deep learning has achieved remarkable success in supervised tasks, especially in image recognition. Similar class labels tend to form clusters, as observed with the Convolutional Autoencoder. That’s not the case.

Deep Learning 120

Deep Learning Deep Learning Clustering Computer Science 120

Heartbeat

DECEMBER 5, 2023

The H100 pioneered AI computing with its capability of machine learning and deep learning workloads. H200 — Bet Up NVIDIA is relentless in gaming and has continued this pace by introducing its latest gem, the H200, in November 2023. The A100 still delivers strong performance on intensive AI tasks and deep learning.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning AI 52

PyImageSearch

JULY 3, 2023

These features can be simple metadata or model-based features (extracted from a deep learning model), representing how good that video is for a member. Users are grouped into small clusters based on their viewing history to obtain context-only features. Context features refer to the user and his query (e.g., That’s not the case.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. To further comment on Fury, for those looking to intern in the short term, we have a position available to work in an NLP deep learning project in the healthcare domain. Fury What a week. Let’s recap.

SQL 83

SQL Deep Learning Deep Learning Natural Language Processing 83

Snorkel AI

MAY 10, 2023

What’s a good signal for, say “we need these clusters to be better.” Learn more, live! Registration is now open for The Future of Data-Centric AI 2023. No longer do you have to do full fine-tuning, you can just throw new data examples, new intents, etc. into the embedding space. I think that’s one avenue to explore.

Data Science 52

Data Science Data Scientist AI AI 52

Snorkel AI

MAY 10, 2023

What’s a good signal for, say “we need these clusters to be better.” Learn more, live! Registration is now open for The Future of Data-Centric AI 2023. No longer do you have to do full fine-tuning, you can just throw new data examples, new intents, etc. into the embedding space. I think that’s one avenue to explore.

Data Science 52

Data Science Data Scientist AI AI 52

PyImageSearch

OCTOBER 23, 2023

This kind of structured setup is common in deep learning projects to organize outputs and model checkpoints systematically. The chosen optimizer is the Adam optimizer, a popular optimization algorithm in deep learning. The optimizer requires the model’s parameters ( model.parameters() ) and a learning rate ( config.LR

Deep Learning 67

Deep Learning Deep Learning Computer Science Computer Science 67

Mlearning.ai

JANUARY 17, 2024

Traditional AI can recognize, classify, and cluster, but not generate the data it is trained on. al 600+: Key technological concepts of generative AI 300+: Deep Learning — the core of any generative AI model: Deep learning is a central concept of traditional AI that has been adopted and further developed in generative AI.

AI 98

AI AI Deep Learning Deep Learning 98