PyImageSearch

JANUARY 27, 2025

We will start by setting up libraries and data preparation. Setup and Data Preparation For implementing a similar word search, we will use the gensim library for loading pre-trained word embeddings vectors. Inside you'll find my hand-picked tutorials, books, courses, and libraries to help you master CV and DL!

K-nearest Neighbors 102

K-nearest Neighbors Algorithm Data Preparation Database 102

Flipboard

DECEMBER 13, 2024

This assistant framework is built upon three pillars: Knowledge awareness Using RAG, CWIC compiles and delivers comprehensive knowledge that is crucial for customers from intricate calculations of book value to period-end reconciliation processes. Pre-trained model teardown Remove the pre-trained model to free up resources.

Analytics 129

Analytics Analytics AI AI 129

AWS Machine Learning Blog

AUGUST 14, 2023

SageMaker JumpStart SageMaker JumpStart serves as a model hub encapsulating a broad array of deep learning models for text, vision, audio, and embedding use cases. Often, to get an NLP application working for production use cases, we end up having to think about data preparation and cleaning.

AWS 95

AWS Database AI AI 95

PyImageSearch

SEPTEMBER 16, 2024

We will start by setting up libraries and data preparation. Setup and Data Preparation To start, we will first download the Credit Card Fraud Detection dataset, which contains details (e.g., Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Clustering 57

Clustering Algorithm Machine Learning Machine Learning 57

PyImageSearch

NOVEMBER 6, 2023

This configuration ensures that our model is trained efficiently and effectively, leveraging the best practices in deep learning. The torch library is essential for our deep learning tasks, while the Dataset class from torch.utils.data provides a template for creating custom datasets ( Lines 7 and 9 ).

Deep Learning 70

Deep Learning Deep Learning Python Computer Science 70

Iguazio

FEBRUARY 8, 2024

To read more about LLMOps and MLOps, checkout the O’Reilly book “Implementing MLOps in the Enterprise” , authored by Iguazio ’s CTO and co-founder Yaron Haviv and by Noah Gift. LLMOps (Large Language Model Operations), is a specialized domain within the broader field of machine learning operations (MLOps). What is LLMOps?

ML 52

ML ML Data Scientist AI 52

Pickl AI

JULY 2, 2024

Sorting Algorithms Sorting algorithms play a crucial role in data preparation. Algorithms with low complexity for processing training data are crucial for faster model development and iteration cycles. Data Cleaning and Preprocessing Cleaning and preparing messy real-world data can be computationally expensive.

Data Scientist 52

Data Scientist Algorithm Data Science Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

Databricks is getting up to 40% better price-performance with Trainium-based instances to train large-scale deep learning models. It can also connect to your internal intranet, wikis, and run books, and with the Amazon Q SDK, you can build a connection to whichever internal application you would like.

AWS 145

AWS AI AI ML 145

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). Book a demo today. See what Snorkel option is right for you.

AI 52

AI AI Data Scientist ML 52

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). See what Snorkel can do to accelerate your data science and machine learning teams.

AI 52

AI AI Data Scientist ML 52

The MLOps Blog

FEBRUARY 22, 2024

Important note: Continual learning aims to allow the model to effectively learn new concepts while ensuring it does not forget already acquired information. Plenty of CL techniques exist that are useful in various machine-learning scenarios. There is no incremental training and no continual learning.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Mlearning.ai

FEBRUARY 27, 2023

Recently as I focused more on how to make proper data science projects that would be better fit for production, I started to pick up various tools and practices and figured out which were the best for me. However, for the intent of this article, I will strictly follow this principle as demonstrated by the book mentioned above.

Data Science 52

Data Science Python Deep Learning Deep Learning 52

How to Learn Machine Learning

MAY 3, 2025

Seamless Integration GCP AI Platform works harmoniously with popular ML frameworks like TensorFlow , scikit-learn , XGBoost, and PyTorch. End-to-End ML Operations From data preparation to model deployment and monitoring, GCP AI Platform supports the entire machine learning lifecycle.

Machine Learning 59

Machine Learning Machine Learning AI AI 59

PyImageSearch

NOVEMBER 18, 2024

We will start by setting up libraries and data preparation. Course information: 86 total classes • 115+ hours of on-demand code walkthrough videos • Last updated: October 2024 ★★★★★ 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 120

Deep Learning Deep Learning Data Visualization Machine Learning 120