Data Science 101

DECEMBER 27, 2019

AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. An intro to Azure FarmBeats An innovative idea to bring data science to farmers. Here are the few bits of information I could find.

Cloud Data 86

Cloud Data Data Science Deep Learning Deep Learning 86

AWS Machine Learning Blog

SEPTEMBER 20, 2023

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. We show how you can build and train an ML model in AWS and deploy the model in another platform.

ML 117

ML ML Azure AWS 117

DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Data Science 101

NOVEMBER 29, 2019

Use Amazon Sagemaker to add ML predictions in Amazon QuickSight Amazon QuickSight, the AWS BI tool, now has the capability to call Machine Learning models. It is based upon this article: Preparing and curating your data for machine learning. It has a companion blog post: Deep Learning vs Machine Learning.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115

Data Science 101

FEBRUARY 29, 2020

Azure Sphere for IoT security goes GA This is a comprehensive security solution for IoT. AWS Deep Learning Containers Updated They now have the latest versions of Tensorflow (1.15.2, Women in Data Science Livestream This is a conference with a ton a great speakers. The event is Monday, March 2, 2020 at 9am PST.

Cloud Data 106

Cloud Data Data Science SQL Deep Learning 106

Data Science 101

FEBRUARY 7, 2020

Azure Stream Analytics Anomaly Detection Azure Stream Analytics now has built-in anomaly detection capabilities. OpenAI chooses PyTorch OpenAI, an organization aimed at helping artificial intelligence benefit all of humanity, has chosen to use PyTorch as its standard deep learning framework.

Cloud Data 90

Cloud Data Data Science Azure Artificial Intelligence 90

Towards AI

JANUARY 6, 2025

AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc. Generative AI with LLMs course by AWS AND DEEPLEARNING.AI Generative AI with LLMs course by AWS AND DEEPLEARNING.AI

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence AI AI 105

Flipboard

MARCH 7, 2023

The solution consists of the following steps: Configure the Yammer app API connector on Azure and get the connection details. Prerequisites To try out the Amazon Kendra connector for Yammer, you need the following: Microsoft Azure global admin access. Basic knowledge of AWS. On the Azure welcome page, choose App registrations.

Azure 123

Azure AWS Machine Learning Machine Learning 123

Dataconomy

JUNE 16, 2023

The cloud-based DLP solution from Gamma AI uses cutting-edge deep learning for contextual perception to achieve a data classification accuracy of 99.5%. To recognize more than 100 different forms of sensitive data, it combines deep learning and natural language processing.

AI 193

AI AI Natural Language Processing Data Classification 193

ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Pickl AI

DECEMBER 26, 2024

The primary components include: Graphics Processing Units (GPUs) These are specially designed for parallel processing, making them ideal for training deep learning models. Foundation Models Foundation models are pre-trained deep learning models that serve as the backbone for various generative applications.

AI 52

AI AI Deep Learning Deep Learning 52

IBM Data Science in Practice

FEBRUARY 21, 2023

Photo by Jeroen den Otter on Unsplash Who should read this article: Machine and Deep Learning Engineers, Solution Architects, Data Scientist, AI Enthusiast, AI Founders What is covered in this article? But it’s interoperable on any cloud like Azure, AWS or GCP. Continuous training is the solution.

Machine Learning 130

Machine Learning Machine Learning AI AI 130

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. Thirdly, the presence of GPUs enabled the labeled data to be processed.

AWS 91

AWS ML ML Clustering 91

PyImageSearch

OCTOBER 16, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Course information: 81 total classes • 109+ hours of on-demand code walkthrough videos • Last updated: October 2023 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning.

Deep Learning 123

Deep Learning Deep Learning Machine Learning Machine Learning 123

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

Data Science 328

Data Science Analytics Analytics Hadoop 328

Flipboard

DECEMBER 13, 2024

To remain competitive, capital markets firms are adopting Amazon Web Services (AWS) Cloud services across the trade lifecycle to rearchitect their infrastructure, remove capacity constraints, accelerate innovation, and optimize costs. trillion in assets across thousands of accounts worldwide.

Analytics 128

Analytics Analytics AI AI 128

Flipboard

OCTOBER 9, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Course information: 81 total classes • 109+ hours of on-demand code walkthrough videos • Last updated: October 2023 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning.

Machine Learning 152

Machine Learning Machine Learning Deep Learning Deep Learning 152

ODSC - Open Data Science

FEBRUARY 2, 2023

This will lead to algorithm development for any machine or deep learning processes. Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Cloud Services The only two to make multiple lists were Amazon Web Services (AWS) and Microsoft Azure.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Analytics Vidhya

NOVEMBER 7, 2022

Hello, fellow data science enthusiasts, did you miss imparting your knowledge in the previous blogathon due to a time crunch? Well, it’s okay because we are back with another blogathon where you can share your wisdom on numerous data science topics and connect with the community of fellow enthusiasts.

Data Science 306

Data Science Analytics Analytics Hadoop 306

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

MAY 3, 2023

Amazon Kendra offers easy-to-use deep learning search models that are pre-trained on 14 domains and don’t require any ML expertise, so there’s no need to deal with word embeddings, document chunking, and other lower-level complexities typically required for RAG implementations.

AWS 77

AWS AI AI ML 77

O'Reilly Media

OCTOBER 19, 2021

Not only is data larger, but models—deep learning models in particular—are much larger than before. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch. All cloud providers provide commercial solutions as well, such as AWS Sagemaker or Azure ML Studio.

ML 145

ML ML Data Scientist AWS 145

Becoming Human

MAY 15, 2023

Things to be learned: Ensemble Techniques such as Random Forest and Boosting Algorithms and you can also learn Time Series Analysis. Deep Learning Deep Learning is a subfield of machine learning that focuses on training deep neural networks with multiple layers to improve performance on complex tasks.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

APRIL 3, 2023

Data Science & Machine Learning There’s an increasing amount of overlap between data scientists and data analysts, as shown by the frameworks and tools noted in each chart. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

The MLOps Blog

MARCH 23, 2023

Financial estimation of the large NLP models, along with the carbon footprint that they produce during training | Source What is more shocking is that 80-90% of the machine learning workload is inference processing, according to NVIDIA. Likewise, according to AWS , inference accounts for 90% of machine learning demand in the cloud.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

Heartbeat

FEBRUARY 27, 2023

Photo by Markus Spiske on Unsplash Deep learning has grown in importance as a focus of artificial intelligence research and development in recent years. Deep Reinforcement Learning (DRL) and Generative Adversarial Networks (GANs) are two promising deep learning trends.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

The MLOps Blog

JUNE 27, 2023

For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Mlearning.ai

JANUARY 28, 2023

Scikit-Learn: Scikit-Learn is a machine learning library that makes it easy to train and deploy machine learning models. It has a wide range of features, including data preprocessing, feature extraction, deep learning training, and model evaluation. How Do I Use These Libraries?

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Sequence Learning and Attention Mechanisms Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 8 — Translation, Seq2Seq, Attention — YouTube Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 7 — Translation, Seq2Seq, Attention — YouTube 2.

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

DrivenData Labs

MAY 21, 2024

AWS S3) separately from source code. We have now added support for Azure and GCS as well. Particularly for deep learning applications, it can be important to run multiple model fitting steps and track the training curves, evaluation metrics, and versioned artifacts.

Data Science 233

Data Science Python Data Scientist Data Warehouse 233

The MLOps Blog

MAY 10, 2023

In this section, you will see different ways of saving machine learning (ML) as well as deep learning (DL) models. Saving deep learning model with TensorFlow Keras TensorFlow is a popular framework for training DL-based models, and Ker as is a wrapper for TensorFlow. Now let’s see how we can save our model.

Python 105

Python ML ML Database 105

Mlearning.ai

JUNE 1, 2023

Using PyTorch Deep Learning Framework and CNN Architecture Photo by Andrew S on Unsplash Motivation Build a proof-of-concept for Audio Classification using a deep-learning neural network with PyTorch framework. Load model to the cloud (AWS/Azure) Rearchitect the CNN using examples from research papers.

Deep Learning 52

Deep Learning Deep Learning Azure AWS 52

Pickl AI

AUGUST 22, 2024

Introduction Deep Learning frameworks are crucial in developing sophisticated AI models, and driving industry innovations. By understanding their unique features and capabilities, you’ll make informed decisions for your Deep Learning applications.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. TensorFlow and Keras: TensorFlow is an open-source platform for machine learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

ODSC - Open Data Science

MAY 1, 2023

He is also co-founder of the International Machine Learning Society, and past associate editor of JAIR. Prior to MosaicML, Hagay held AI engineering leadership roles at Meta, AWS, and GE Healthcare.

Data Science 52

Data Science Machine Learning Machine Learning Azure 52

Pickl AI

NOVEMBER 28, 2024

Without linear algebra, understanding the mechanics of Deep Learning and optimisation would be nearly impossible. Neural Networks These models simulate the structure of the human brain, allowing them to learn complex patterns in large datasets. Neural networks are the foundation of Deep Learning techniques.

Machine Learning 52

Machine Learning Machine Learning ML ML 52