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DE & ML Digest
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DE & ML Digest
ML
Capacity Optimization in Freight Trains — Part 1
Medium
Capacity Optimization in Freight Trains — Part 1
A Guide to Freight Trains Capacity Optimization in Python
DE & ML Digest
Big Data
MapReduce – Understanding With Real-Life Example
reddit
MapReduce – Understanding With Real-Life Example
Posted in r/bigdata by u/Big_Data_Path • 1 point and 0 comments
DE & ML Digest
Big Data
How YipitData Extracts Insights From Alternative Data Using Delta Lake
Databricks
How YipitData Extracts Insights From Alternative Data Using Delta Lake
Learn more about YipitData’s data pipeline and how they use Delta Lake to scale and streamline the ingestion of new alternative data to fuel greater innovation and insights.
DE & ML Digest
Big Data
What’s big data #Bigdata
reddit
What’s big data #Bigdata
Posted in r/bigdata by u/Digicactus • 1 point and 0 comments
DE & ML Digest
Big Data
Open-source Data lineage for DWH
reddit
Open-source Data lineage for DWH
Hi, My friend and I released a new open-source data lineage tool that focuses on simple setup and immediate visualization....
DE & ML Digest
Big Data
What Is Data Engineering? Skills and Tools Required
DZone
What Is Data Engineering? Skills and Tools Required
This article explores the definition of data engineering, the skills and responsibilities of data engineers, and the future of data engineering.
DE & ML Digest
Big Data
New for Amazon Connect: Voice ID, Wisdom, and Outbound Communications
Amazon
New for Amazon Connect: Voice ID, Wisdom, and Outbound Communications | Amazon Web Services
During the AWS re:Invent conference last year, I wrote about new capabilities added to Amazon Connect. Today, I am happy to announce the general availability of two of these capabilities, Voice ID and Wisdom, and the launch of a new one. High-volume outbound…
DE & ML Digest
Big Data
CRM marketing startup Optimove raises $75M
VentureBeat
CRM marketing startup Optimove raises $75M
Optimove, a company developing customer relationship management software, has raised $75 million in venture capital.
DE & ML Digest
Big Data
The limitations of AI safety tools
VentureBeat
The limitations of AI safety tools
Firms including OpenAI have developed safety tools to constrain AI decision-making. But there's a limit to what these tools can accomplish.
DE & ML Digest
Big Data
Fabless semiconductor company Astera Labs raises $50M for AI hardware designs
VentureBeat
Fabless semiconductor company Astera Labs raises $50M for AI hardware designs
Astera Labs, a company developing infrastructure for AI and machine learning workloads, has raised $50 million in venture capital.
DE & ML Digest
Big Data
Shiny and Environments for R Notebooks
Databricks
Shiny and Environments for R Notebooks
Learn more about the release of two new highly-requested features for Databricks’ R Notebooks--environment management and Shiny--and how it improves collaboration and other benefits.
DE & ML Digest
ML
How to Mitigate Overfitting with Dimensionality Reduction
Medium
How to Mitigate Overfitting with Dimensionality Reduction
Addressing the problem of overfitting — Part 3
DE & ML Digest
ML
Automate Windows Applications using Python
Analytics Vidhya
Automate Windows Applications using Python
In this article, we are going to learn how to automate Windows applications using python to help you in repetitive tasks and save your time.
DE & ML Digest
ML
Zero to RAPIDS in Minutes with NVIDIA GPUs + Saturn Cloud
KDnuggets
Zero to RAPIDS in Minutes with NVIDIA GPUs + Saturn Cloud - KDnuggets
Managing large-scale data science infrastructure presents significant challenges. With Saturn Cloud, managing GPU-based infrastructure is made easier, allowing practitioners and enterprises to focus on solving their business challenges.
DE & ML Digest
ML
Parametric Bayesian Inference: Implementation of Numerical Sampling Techniques with Proofs
Medium
Parametric Bayesian Inference: Implementation of Numerical Sampling Techniques with Proofs
Acceptance/Rejection Sampling & MCMC Metropolis-Hastings Sampling with full Computational Simulation
DE & ML Digest
ML
Model Monitoring for Large-Scale Deployments
Medium
Model Monitoring for Large-Scale Deployments
Model monitoring in large-scale applications may be challenging due to high volume of predictions that need to be analyzed
DE & ML Digest
ML
Complete Step-by-step Conjugate Gradient Algorithm from Scratch
Medium
Complete Step-by-step Conjugate Gradient Algorithm from Scratch
And its implementation for solving linear systems and general function optimization
DE & ML Digest
ML
A Complete Guide To Tableau For Beginners in Data Visualization
Analytics Vidhya
A Complete Guide To Tableau For Beginners in Data Visualization
Tableau is a well-known data visualization tool widely used in the industry. In this article we see how to develop a dashboard.
DE & ML Digest
ML
Airbyte — Worth the hype?
Medium
Airbyte — Worth the hype?
A simple example and checking its capabilities and features. Is it worth the hype?
DE & ML Digest
ML
Statistics in Python — Generating Random Numbers in Python, NumPy, and sklearn
Medium
Statistics in Python — Generating Random Numbers in Python, NumPy, and sklearn
All you need to know to generate random numbers in Python
DE & ML Digest
ML
Reviewing Python noscripts using Amazon CodeGuru Reviewer
Medium
Reviewing Python noscripts using Amazon CodeGuru Reviewer
Knowing your way around Amazon CodeGuru Reviewer and automating code reviews
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