Data Science Current

Simplify Your Data Engineering Journey: The Essential PySpark Cheat Sheet for Success!

Towards AI

FEBRUARY 2, 2024

Last Updated on February 2, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. “ It is important to complete tasks more efficiently with more effectiveness” Photo by Markus Winkler on Unsplash Yes, It is important to understand before getting into this cheat sheet. a = Window().orderBy('id')cumulative_sum

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

Enterprises must shift their focus from models to data in AI development

Snorkel AI

FEBRUARY 9, 2024

We are transitioning from a focus on the models and algorithms that underpin AI to a greater emphasis on the data that powers these models. In the enterprise context, where complex, domain-specific data is often the norm, this shift is particularly salient. The key to bridging that gap lies in data development.

AI

AI AI Machine Learning Machine Learning

Enterprises must shift their focus from models to data in AI development

Snorkel AI

FEBRUARY 9, 2024

We are transitioning from a focus on the models and algorithms that underpin AI to a greater emphasis on the data that powers these models. In the enterprise context, where complex, domain-specific data is often the norm, this shift is particularly salient. The key to bridging that gap lies in data development.

AI

AI AI Machine Learning Machine Learning

Webinars

The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

How To Get Promoted In Product Management

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8 Tools to Protect Sensitive Data from Unintended Leakage

ODSC - Open Data Science

DECEMBER 11, 2023

In today’s digitally vast and linked world, the amount of data we create, store, and share is huge. Even though we’ve come a long way in protecting data, one sneaky threat that often goes unnoticed is private data being leaked into source code. Let’s delve into these tools and their offerings in detail.

Data Science

Data Science Machine Learning Machine Learning AI

Using Self-Critiquing Chains in LangChain

Heartbeat

NOVEMBER 23, 2023

Enhancing Trustworthiness and Accountability through ConstitutionalChain in LangChain Photo by Joshua Woods on Unsplash Introduction Building LLM-driven technologies is not just about creating systems that can understand and respond to user queries. You are hell bent on spoiling the innocence of humanity.

AI

AI AI Data Scientist Deep Learning

Gaining a sense of control over the COVID-19 pandemic | A Winner’s Interview with Daniel Wolffram

Kaggle

JULY 23, 2020

How one Kaggler took top marks across multiple Covid-related challenges. Photo by Markus Spiske on Unsplash Today we interview Daniel, whose notebooks earned him top marks in Kaggle’s CORD-19 challenges. 2nd place overall had a score of 0.75, and 2nd place on Kaggle had a score of 0.6.) He had a score of 0.9, Let’s meet Daniel!

Data Science

Data Science Machine Learning Machine Learning Data Preparation

The Story Continues: Announcing Version 14 of Wolfram Language and Mathematica

Hacker News

JANUARY 9, 2024

See also more detailed information on Version 13.1 , Version 13.2 Building Something Greater and Greater… for 35 Years and Counting Today we celebrate a new waypoint on our journey of nearly four decades with the release of Version 14.0 Sometimes it’s a story of painstakingly curating data that’s never been assembled before.

Python

Python Algorithm Machine Learning Machine Learning

How to Visualize Deep Learning Models

The MLOps Blog

NOVEMBER 14, 2023

It goes without saying that the interplay between all these parameters is way too complicated for humans to understand. Graphical representations of structures and data flow within a deep learning model make its complexity easier to comprehend and enable insight into its decision-making process.

Deep Learning

Deep Learning Deep Learning Data Scientist Machine Learning

Automate the deployment of an Amazon Forecast time-series forecasting model

AWS Machine Learning Blog

MAY 4, 2023

Time series forecasting refers to the process of predicting future values of time series data (data that is collected at regular intervals over time). Forecast uses ML to learn not only the best algorithm for each item, but also the best ensemble of algorithms for each item, automatically creating the best model for your data.

AWS

AWS ML ML Data Scientist

Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

ML

ML ML AI AI

Applied NLP Thinking: How to Translate Problems into Solutions

Explosion

JUNE 18, 2021

This blog post is based on talks I gave at the “Teaching NLP” workshop at NAACL 2021 and the L3-AI online conference. The right intuition, the right mindset, a different way to reason about what to do. The right intuition, the right mindset, a different way to reason about what to do. I call this “Applied NLP Thinking”.

Machine Learning

Machine Learning Machine Learning Natural Language Processing Clustering

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

AWS Machine Learning Blog

AUGUST 29, 2023

Terraform is used to create additional resources such as EventBridge rules, Lambda functions, and SNS topics for monitoring SageMaker pipelines and sending notifications (for example, when a pipeline step fails or succeeds). SageMaker Pipelines serves as the orchestrator for ML model training and inference workflows.

AWS

AWS Data Quality Data Scientist Python

On Becoming a VP of Engineering, Part 2: Doing the Job

Hacker News

JULY 14, 2023

This was said in the context of thinking about how the various management roles around the company interact: line managers run teams and projects, directors run the day-to-day work of the company, and execs (including VPs) focus above all on strategy, external-facing matters, and longer-term planning for the company’s future.

Computer Science

Computer Science Computer Science Clustering

Definite Guide to Building a Machine Learning Platform

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning

Machine Learning Machine Learning Data Scientist ML

The Ultimate Modern Data Stack Migration Guide

phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse

Data Warehouse SQL Cloud Data Analytics

Data Science Current

Simplify Your Data Engineering Journey: The Essential PySpark Cheat Sheet for Success!

Enterprises must shift their focus from models to data in AI development

Webinars

Trending Sources

Enterprises must shift their focus from models to data in AI development

Webinars

8 Tools to Protect Sensitive Data from Unintended Leakage

Using Self-Critiquing Chains in LangChain

Gaining a sense of control over the COVID-19 pandemic | A Winner’s Interview with Daniel Wolffram

The Story Continues: Announcing Version 14 of Wolfram Language and Mathematica

How to Visualize Deep Learning Models

Automate the deployment of an Amazon Forecast time-series forecasting model

Google Research, 2022 & Beyond: Language, Vision and Generative Models

Applied NLP Thinking: How to Translate Problems into Solutions

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

On Becoming a VP of Engineering, Part 2: Doing the Job

Definite Guide to Building a Machine Learning Platform

The Ultimate Modern Data Stack Migration Guide

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