ODSC - Open Data Science

AUGUST 9, 2023

In the unceasingly dynamic arena of data science, discerning and applying the right instruments can significantly shape the outcomes of your machine learning initiatives. Our focus will be hands-on, with an emphasis on the practical application and understanding of essential machine learning concepts. What Will You Gain?

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

PyImageSearch

DECEMBER 19, 2022

This is the 2nd lesson in our 4-part series on OAK-101 : Introduction to OpenCV AI Kit (OAK) OAK-D: Understanding and Running Neural Network Inference with DepthAI API (today’s tutorial) OAK 101: Part 3 OAK 101: Part 4 To learn how DepthAI API works and run neural network inference on OAK-D, just keep reading.

Deep Learning 52

Deep Learning Deep Learning Python AI 52

AWS Machine Learning Blog

MARCH 2, 2023

Hyperparameter optimization is highly computationally demanding for deep learning models. The code can be found on the GitHub repo. However, the same piece of news can have a positive or negative impact on stock prices, which presents a challenge for this task.

Clustering 79

Clustering AWS Deep Learning Deep Learning 79

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. It enables them to unlock the value of their data, identify trends, patterns, and predictions, and differentiate themselves from their competitors.

ML 74

ML ML AWS Machine Learning 74

The MLOps Blog

OCTOBER 20, 2023

Nevertheless, many data scientists will agree that they can be really valuable – if used well. And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis.

SQL 52

SQL Database Data Scientist Python 52

phData

MAY 11, 2023

Bitbucket, Github) to allow advanced workflows. Best Git practices can be adopted by learning as few as three new concepts: branch, commit, and merge. That begs the question, if it is so easy to learn, “Why formalize a concept like ZDLC?” What is Zero-Code Development Life Cycle (ZDLC)?

ETL 52

ETL Analytics Analytics Data Modeling 52

AWS Machine Learning Blog

JANUARY 10, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. The entire set of code for the example is available in the following GitHub repository. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers.

ML 76

ML ML Python Deep Learning 76

PyImageSearch

JULY 24, 2023

Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup Data Pipeline Build a Custom Model Build the Image Classification Model Train the Model Evaluation Summary References Citation Information What Is Keras Core? What Is Keras Core?

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

The MLOps Blog

MARCH 21, 2023

Moving across the typical machine learning lifecycle can be a nightmare. Machine learning platforms are increasingly looking to be the “fix” to successfully consolidate all the components of MLOps from development to production. What is a machine learning platform? That’s where this guide comes in!

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

AWS Machine Learning Blog

MAY 24, 2023

JumpStart provides pretrained, open-source models for a wide range of problem types to help you get started with machine learning (ML). JumpStart provides pretrained, open-source models for a wide range of problem types to help you get started with machine learning (ML).

Machine Learning 80

Machine Learning Machine Learning Natural Language Processing ML 80