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.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. Data Engineering Platforms Spark is still the leader for data pipelines but other platforms are gaining ground. Knowing some SQL is also essential.

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How to Learn Machine Learning

DECEMBER 24, 2024

You can easily: Store and process data using S3 and RedShift Create data pipelines with AWS Glue Deploy models through API Gateway Monitor performance with CloudWatch Manage access control with IAM This integrated ecosystem makes it easier to build end-to-end machine learning solutions.

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ODSC - Open Data Science

DECEMBER 5, 2023

On Wednesday, Peter Norvig, PhD, Engineering Director at Google and Education Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) spoke about the human side of AI and how we can focus on using AI for the greater good, improving all stakeholders’ lives and the needs of all users.

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Applied Data Science

AUGUST 2, 2021

Automation Automating data pipelines and models ➡️ 6. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data. The Data Engineer Not everyone working on a data science project is a data scientist.

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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

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Dataconomy

MAY 16, 2023

With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights. Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed.

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ODSC - Open Data Science

FEBRUARY 24, 2023

These tools will help make your initial data exploration process easy. ydata-profiling GitHub | Website The primary goal of ydata-profiling is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Output is a fully self-contained HTML application. You can watch it on demand here.

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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).

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ODSC - Open Data Science

DECEMBER 19, 2023

The field of artificial intelligence is growing rapidly and with it the demand for professionals who have tangible experience in AI and AI-powered tools. Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. billion in 2021 to $331.2 billion by 2026.

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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.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

APRIL 23, 2025

With AI credits, teams can streamline the annotation process using intelligent suggestions and quality control mechanisms. Confluent Confluent provides a robust data streaming platform built around Apache Kafka. Modal Modal offers serverless compute tailored for data-intensive workloads.

Data Scientist 52

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ODSC - Open Data Science

FEBRUARY 2, 2023

This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on. Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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AWS Machine Learning Blog

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. Deployment with the AWS CDK The Step Functions state machine and associated infrastructure (including Lambda functions, CodeBuild projects, and Systems Manager parameters) are deployed with the AWS CDK using Python.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

This setup uses the AWS SDK for Python (Boto3) to interact with AWS services. Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team. He specializes in designing, building, and optimizing large-scale data solutions.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The ZMP analyzes billions of structured and unstructured data points to predict consumer intent by using sophisticated artificial intelligence (AI) to personalize experiences at scale. Airflow for workflow orchestration Airflow schedules and manages complex workflows, defining tasks and dependencies in Python code.

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Towards AI

MAY 30, 2024

Prime_otter_86438 is working on a Python library to make ML training and running models on any microcontroller in real time for classification easy for beginners. They are seeking assistance from an expert to improve the model and make the Python package easier for the end user. If this sounds fun, connect with them in the thread!

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AWS Machine Learning Blog

JANUARY 25, 2023

This field is often referred to as explainable artificial intelligence (XAI). Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers to explain the predictions of their ML models. Solution overview SageMaker algorithms have fixed input and output data formats.

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Algorithm Natural Language Processing Machine Learning Machine Learning 97

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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AWS Machine Learning Blog

APRIL 5, 2024

Phase 1: Data pipeline The Landsat 8 satellite captures detailed imagery of the area of interest every 15 days at 11:30 AM, providing a comprehensive view of the city’s landscape and environment. Data acquisition and preprocessing To implement the modules, Gramener used the SageMaker geospatial notebook within Amazon SageMaker Studio.

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Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning. Sandeep holds an MSc.

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Database AWS ETL SQL 158

phData

JULY 4, 2024

This blog will cover creating customized nodes in Coalesce, what new advanced features can already be used as nodes, and how to create them as part of your data pipeline. They’re essentially an entire data pipeline within itself. Snowflake even handles the orchestration and scheduling of the refresh.

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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. And that’s exactly what I do.

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Deep Learning Deep Learning Data Pipeline Computer Science 144

ODSC - Open Data Science

JANUARY 30, 2024

Not only does it involve the process of collecting, storing, and processing data so that it can be used for analysis and decision-making, but these professionals are responsible for building and maintaining the infrastructure that makes this possible; and so much more. Think of data engineers as the architects of the data ecosystem.

Data Engineering 52

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Pickl AI

AUGUST 16, 2024

Python When it comes to a powerful and versatile programming language, Python takes the lead. Python , with libraries such as NumPy, Pandas, and SciPy, is increasingly used for statistical analysis. Its versatility allows integration with web applications and data pipelines, making it a favourite among data scientists.

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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?

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Pickl AI

JULY 18, 2023

The salary of an Artificial Intelligence Architect in India ranges between ₹ 18.0 An AI Architect is a skilled professional responsible for designing and implementing artificial intelligence solutions within an organization. from 2023 to 2030. Lakhs to ₹ 56.7 Their average annual salary is ₹ 31.8 Who is an AI Architect?

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

SageMaker pipeline SageMaker Pipelines offers a user-friendly Python SDK to create integrated machine learning (ML) workflows. Our endpoint provides a single-step forecast for the provided time series data, presented as percentiles and the median, as shown in the following figure and table.

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ODSC - Open Data Science

JANUARY 28, 2025

Celebrating ODSCs 10-year milestone, McGovern delved into industry trends, in-demand skills, and emerging roles shaping the field of artificial intelligence as we approach2025. LLM Engineers: With job postings far exceeding the current talent pool, this role has become one of the hottest inAI.

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ODSC - Open Data Science

OCTOBER 18, 2024

Although data scientists rightfully capture the spotlight, future-focused teams also include engineers building data pipelines, visualization experts, and project managers who integrate efforts across groups. Selecting Technologies The technology landscape enables advanced analytics and artificial intelligence to evolve quickly.

Data Science 52

Data Science Data Scientist Analytics Analytics 52

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

PyImageSearch

FEBRUARY 5, 2024

Implementing Precision and Recall Calculations in Python Now that we have defined and segregated our samples into True Positives , True Negatives , False Positives , and False Negatives , let us try to use them to compute specific metrics to evaluate our model. label_pred !=1 1 ), and their ground-truth label was positive ( label_gt =1 ).

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ODSC - Open Data Science

FEBRUARY 5, 2025

Monday, May 12thAI Bootcamp Day (VirtualOnly) The sessions, conducted entirely online, will focus on core data science topics, including Python programming, machine learning basics, statistical analysis, AI Agents, and everything needed to excel as an AI engineer.

Data Engineering 52

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Flipboard

NOVEMBER 24, 2023

JuMa is a service of BMW Group’s AI platform for its data analysts, ML engineers, and data scientists that provides a user-friendly workspace with an integrated development environment (IDE). It is powered by Amazon SageMaker Studio and provides JupyterLab for Python and Posit Workbench for R.

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ODSC - Open Data Science

AUGUST 23, 2023

The effect is that you get to use your favorite pandas API, but your data pipelines run on one of the most battle-tested and heavily-optimized data infrastructures today — databases. You can start running your Python data workflows in your data warehouse today by signing up here !

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