ODSC - Open Data Science

DECEMBER 19, 2023

Data scientists with a PhD or a master’s degree in computer science or a related field can earn more than $150,000 per year. Data scientists who work in the financial services industry or the healthcare industry can also earn more than the average. The average salary for a data engineer is $107,500 per year.

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96

Data Science Dojo

AUGUST 11, 2023

Machine learning is a field of computer science that uses statistical techniques to build models from data. These models can be used to predict future outcomes or to classify data into different categories. Inferential statistics are used to make inferences about a population based on a sample.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. Research Why should a data scientist need to have research skills, even outside of academia you ask?

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Read more to know. Cloud Platforms: AWS, Azure, Google Cloud, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Flipboard

FEBRUARY 13, 2023

Project Structure Creating Our Configuration File Creating Our Data Pipeline Preprocessing Faces: Detection and Cropping Summary Citation Information Building a Dataset for Triplet Loss with Keras and TensorFlow In today’s tutorial, we will take the first step toward building our real-time face recognition application. The dataset.py

Data Pipeline 145

Data Pipeline Deep Learning Deep Learning Python 145

PyImageSearch

MARCH 20, 2023

Jump Right To The Downloads Section Training and Making Predictions with Siamese Networks and Triplet Loss In the second part of this series, we developed the modules required to build the data pipeline for our face recognition application. Figure 1: Overview of our Face Recognition Pipeline (source: image by the author).

Deep Learning 106

Deep Learning Deep Learning Data Pipeline Python 106

Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Flipboard

MARCH 6, 2023

In the previous tutorial of this series, we built the dataset and data pipeline for our Siamese Network based Face Recognition application. Specifically, we looked at an overview of triplet loss and discussed what kind of data samples are required to train our model with the triplet loss. That’s not the case.

Deep Learning 144

Deep Learning Deep Learning Data Pipeline Computer Science 144

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Flipboard

AUGUST 17, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Above all, this solution offers you a native Spark way to implement an end-to-end data pipeline from Amazon Redshift to SageMaker.

ML 123

ML ML AWS Data Warehouse 123

AWS Machine Learning Blog

MARCH 8, 2023

In order to train a model using data stored outside of the three supported storage services, the data first needs to be ingested into one of these services (typically Amazon S3). This requires building a data pipeline (using tools such as Amazon SageMaker Data Wrangler ) to move data into Amazon S3.

ML 124

ML ML AWS Python 124

ODSC - Open Data Science

JANUARY 7, 2025

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. While knowing Python, R, and SQL is expected, youll need to go beyond that.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

IBM Journey to AI blog

OCTOBER 16, 2023

The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. Foundation models can use language, vision and more to affect the real world.

AI 88

AI AI Data Warehouse ML 88

AWS Machine Learning Blog

DECEMBER 5, 2023

SGT release and deployment – The SGT that is output from the earlier optimization step is deployed as part of the data pipeline that feeds the trained LLM. He also taught Computer Science and Math to High School, University, and Professional students.

AI 116

AI AI AWS ML 116

Pickl AI

JULY 18, 2023

Solution Design Creating a high-level architectural design that encompasses data pipelines, model training, deployment strategies, and integration with existing systems. There are several online platforms offering courses in artificial intelligence, data science, machine learning and others.

AI 52

AI AI Machine Learning Machine Learning 52

PyImageSearch

FEBRUARY 5, 2024

Initializing the Siamese Model for Data Analysis Next, we create our siameseModel using the SiameseModel class as we had done during inference in the previous tutorial. Structuring Data for Siamese Model Evaluation We create two lists to store the faces in our database and their corresponding labels (i.e., faces and faceLabels ).

Database 60

Database Data Pipeline Deep Learning Deep Learning 60

ODSC - Open Data Science

AUGUST 11, 2023

Orchestrating Data Assets instead of Tasks, with Dagster Sandy Ryza | Lead Engineer — Dagster Project | Elementl Asset-based orchestration works well with modern data stack tools like dbt, Meltano, Airbyte, and Fivetran, because those tools already think in terms of assets.

Data Science 52

Data Science Machine Learning Machine Learning ML 52

AWS Machine Learning Blog

SEPTEMBER 18, 2023

It integrates smoothly with other data processing libraries like Spark, Pandas, NumPy, and more, as well as ML frameworks like TensorFlow and PyTorch. This allows building end-to-end data pipelines and ML workflows on top of Ray. The goal is to make distributed data processing and ML easier for practitioners and researchers.

Machine Learning 119

Machine Learning Machine Learning ML ML 119

PyImageSearch

JUNE 5, 2023

Specifically, we will develop our data pipeline, implement the loss functions discussed in Part 1 and write our own code to train the CycleGAN model end-to-end using Keras and TensorFlow. Finally, we combine and consolidate our entire training data (i.e., Or requires a degree in computer science?

Deep Learning 56

Deep Learning Deep Learning Data Pipeline Python 56

PyImageSearch

JANUARY 8, 2024

We will understand the dataset and the data pipeline for our application and discuss the salient features of the NSL framework in detail. config.py ) The data pipeline (i.e., Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? That’s not the case.

Deep Learning 63

Deep Learning Deep Learning Data Pipeline Computer Science 63

ODSC - Open Data Science

APRIL 26, 2023

Data Engineer Data engineers are the authors of the infrastructure that stores, processes, and manages the large volumes of data an organization has. The main aspect of their profession is the building and maintenance of data pipelines, which allow for data to move between sources.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

SEPTEMBER 5, 2024

Recommended Educational Background Aspiring Azure Data Scientists typically benefit from a solid educational background in Data Science, computer science, mathematics, or engineering.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In computer science, a number can be represented with different levels of precision, such as double precision (FP64), single precision (FP32), and half-precision (FP16). An important part of the data pipeline is the production of features, both online and offline.

AWS 92

AWS ML ML Clustering 92

PyImageSearch

JANUARY 29, 2024

Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? All you need to master computer vision and deep learning is for someone to explain things to you in simple, intuitive terms. That’s not the case.

Deep Learning 56

Deep Learning Deep Learning Machine Learning Machine Learning 56

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? Enter Keras Core!

Deep Learning 94

Deep Learning Deep Learning Machine Learning Machine Learning 94

AWS Machine Learning Blog

DECEMBER 4, 2024

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. With his background in computer science, he is very interested in using technology to build solutions to real-world problems.

AWS 100

AWS AI AI SQL 100

AWS Machine Learning Blog

OCTOBER 23, 2024

He focuses on Deep learning including NLP and Computer Vision domains. Greg Benson is a Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic. He helps customers achieve high performance model inference on SageMaker.

AI 74

AI AI AWS Database 74

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. About the Authors Greg Benson is a Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic.

Database 158

Database AWS ETL SQL 158