ODSC - Open Data Science

DECEMBER 5, 2023

A new event to ODSC West 2023 were the Lightning talks, which saw a small group of victims (speakers) describe slides picked at random. While we may be done with events for 2023, 2024 is looking to be packed full of conferences, meetups, and virtual events. What’s next?

Data Science 98

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Mlearning.ai

APRIL 6, 2023

Automate and streamline our ML inference pipeline with SageMaker and Airflow Building an inference data pipeline on large datasets is a challenge many companies face. Airflow setup Apache Airflow is an open-source tool for orchestrating workflows and data processing pipelines.

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PyImageSearch

JANUARY 15, 2024

Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline Adversarial Learning with NSL CIFAR-10 Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment?

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Data Pipeline Deep Learning Deep Learning Computer Science 67

Heartbeat

NOVEMBER 6, 2023

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You might be curious how a simple tool like Apache Airflow can be powerful for managing complex data pipelines.

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AWS Machine Learning Blog

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. Some input data uses a pair of value type and value for a measurement.

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Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. Coupled with BYOM, the new Python SDK streamlines workflows even further, letting ML teams leverage Edge Impulse directly from their own development environments.

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Towards AI

MARCH 21, 2023

Last Updated on March 21, 2023 by Editorial Team Author(s): Data Science meets Cyber Security Originally published on Towards AI. Navigating the World of Data Engineering: A Beginner’s Guide. A GLIMPSE OF DATA ENGINEERING ❤ IMAGE SOURCE: BY AUTHOR Data or data? What are ETL and data pipelines?

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ODSC - Open Data Science

SEPTEMBER 20, 2023

ODSC West 2023 is just a couple of months away, and we couldn’t be more excited to be able to share our Preliminary Schedule with you! Day 1: Monday, October 30th (Bootcamp, VIP, Platinum) Day 1 of ODSC West 2023 will feature our hands-on training sessions, workshops, and tutorials and will be open to Platinum, Bootcamp, and VIP pass holders.

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ODSC - Open Data Science

DECEMBER 14, 2023

Python Timestamp: Converting and Formatting Essentials for Beginners In this article, we will explore the different ways to work with timestamps in Python, including generating, converting, and comparing timestamps. Here are 7 AI trends that we think will define the landscape over the next year.

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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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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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Dataconomy

MAY 16, 2023

Key skills and qualifications for machine learning engineers include: Strong programming skills: Proficiency in programming languages such as Python, R, or Java is essential for implementing machine learning algorithms and building data pipelines.

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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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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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BAIR

FEBRUARY 17, 2024

This is enforced with the `more` excerpt separator. --> AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. Python code that calls an LLM), or should it be driven by an AI model (e.g. Operation: LLMOps and DataOps.

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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. What's next? Raha, and A. Thanki, eds.,

Deep Learning 143

Deep Learning Deep Learning Data Pipeline Computer Science 143

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!

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Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. The global data warehouse as a service market was valued at USD 9.06

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phData

MARCH 22, 2023

Snowpark , an innovative technology from the Snowflake Data Cloud , promises to meet this demand by allowing data scientists to develop complex data transformation logic using familiar programming languages such as Java, Scala, and Python. Snowpark enables ML teams to deploy with native code running where their data is.

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ML ML Python Machine Learning 52

The MLOps Blog

JANUARY 26, 2024

Reference table for which technologies to use for your FTI pipelines for each ML system. Related article How to Build ETL Data Pipelines for ML See also MLOps and FTI pipelines testing Once you have built an ML system, you have to operate, maintain, and update it. All of them are written in Python.

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Ocean Protocol

JANUARY 17, 2024

We launched Predictoor and its Data Farming incentives in September & November 2023, respectively. The pdr-backend GitHub repo has the Python code for all bots: Predictoor bots, Trader bots, and support bots (submitting true values, buying on behalf of DF, etc). on November 20, 2023; with subsequent v0.1.x x releases.

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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 ! Doris received her Ph.D.

Data Warehouse 52

Data Warehouse Data Science Database SQL 52

phData

SEPTEMBER 13, 2023

Here’s an example of code that can be used to extract Salesforce data and load it into Snowflake using Python: 2. Third-Party Tools Third-party tools like Matillion or Fivetran can help streamline the process of ingesting Salesforce data into Snowflake. Need help ingesting data into Snowflake? phData can help!

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AWS Machine Learning Blog

AUGUST 21, 2024

The output files contain not only the processed text, but also observability data and the parameters used for inference. The following is an example in Python: import boto3 import json # Create an S3 client s3 = boto3.client('s3') decode('utf-8') # Initialize a list output_data = [] # Process the JSON data.

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Iguazio

JANUARY 22, 2024

You can watch the full talk this blog post is based on, which took place at ODSC West 2023, here. Feedback - ​Collect production data, metadata, and metrics to tune the model and application further, and to enable governance and explainability. The importance of data pipelines lies in the fact that data pipelines improve quality.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

Context In early 2023, Zeta’s machine learning (ML) teams shifted from traditional vertical teams to a more dynamic horizontal structure, introducing the concept of pods comprising diverse skill sets. Airflow for workflow orchestration Airflow schedules and manages complex workflows, defining tasks and dependencies in Python code.

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phData

DECEMBER 4, 2023

Snowflake Connectors For accessing data, you’ll find a slew of Snowflake connectors on the Snowflake website. For example: ODBC JDBC Python Snowflake Connector And, generally, things will be okay. Data Pipelines “Data pipeline” means moving data in a consistent, secure, and reliable way at some frequency that meets your requirements.

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Clustering Database SQL Data Pipeline 98

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Data Pipeline 52

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning 52

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Data Pipeline 52

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning 52

Ocean Protocol

FEBRUARY 27, 2024

release has many other improvements: in trader bots, data pipeline, UX, and core bug fixes. Data pipeline: better structure, with DuckDB at the core. UX: There is now proper Python-style logging. release has many other improvements: in trader bots, data pipeline, UX, and core bug fixes.

Data Pipeline 59

Data Pipeline AI AI Analytics 59

Ocean Protocol

FEBRUARY 28, 2024

Introduction Ocean Protocol was founded to level the playing field for AI and data .In In 2023, we tested hypotheses towards growing traction. From that, the three brightest spots are Ocean Predictoor, Ocean Compute-to-Data (C2D), and Ocean Enterprise. Continually improve data pipeline and analytics dapp.

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ODSC - Open Data Science

APRIL 26, 2023

Though scripted languages such as R and Python are at the top of the list of required skills for a data analyst, Excel is still one of the most important tools to be used. Data Engineer Data engineers are the authors of the infrastructure that stores, processes, and manages the large volumes of data an organization has.

Data Analyst 52

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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., Let us open the train.py file and get started. We open the inference.py

Deep Learning 57

Deep Learning Deep Learning Data Pipeline Python 57

Pickl AI

DECEMBER 9, 2024

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 billion in 2023, is projected to grow to $348.21 Explain the CAP theorem and its relevance in Big Data systems. billion in 2024 and reach a staggering $924.39

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phData

AUGUST 22, 2024

Consider a data pipeline that detects its own failures, diagnoses the issue, and recommends the fix—all automatically. This is the potential of self-healing pipelines, and this blog explores how to implement them using dbt, Snowflake Cortex , and GitHub Actions. python/requirements.txt - name: Trigger dbt job run: | python -u./python/run_monitor_and_self_heal.py

SQL 52

SQL Data Quality Python Data Warehouse 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

Furthermore, we’ve developed data encryption and governance solutions for HPCC Systems to help secure data, ensure it is only accessed by appropriate personnel, and to create audit trails to ensure data security SLAs and regulations are met. It truly is an all-in-one data lake solution. Tell me more about ECL.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. In November 2023, AWS announced the next generation Trainium2 chip. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

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