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DE & ML Digest
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DE & ML Digest
Big Data
Gartner’s list of top tech initiatives for 2022
VentureBeat
Gartner’s list of top tech initiatives for 2022
Gartner released its annual list of top strategic technology trends this week, projecting that 2022 will keep enterprise executives busy with new developments in everything from artificial intelligence to cybersecurity. While much of this tech is centered…
DE & ML Digest
Big Data
Gartner advises tech leaders to prepare for action as quantum computing spreads
VentureBeat
Gartner advises tech leaders to prepare for action as quantum computing spreads
Quantum computing hits the radar of tech leaders, but will take years to develop for most applications, even as it makes progress.
DE & ML Digest
Big Data
OSA Con open source analytics conference is happening on November 2. It's free. We have a great line-up including Andy Pavlo, Max Beauchemin, lead committers of ClickHouse, Druid, Pinot, and Presto...and many more.
reddit
OSA Con open source analytics conference is happening on November...
Posted in r/bigdata by u/dbcicero • 1 point and 0 comments
DE & ML Digest
ML
Principal Component Analysis for Visualization
MachineLearningMastery.com
Principal Component Analysis for Visualization - MachineLearningMastery.com
Principal component analysis (PCA) is an unsupervised machine learning technique. Perhaps the most popular use of principal component analysis is dimensionality reduction. Besides using PCA as a data preparation technique, we can also use it to help visualize…
DE & ML Digest
ML
A Gentle Introduction to Vector Space Models
MachineLearningMastery.com
A Gentle Introduction to Vector Space Models - MachineLearningMastery.com
Vector space models are to consider the relationship between data that are represented by vectors. It is popular in information retrieval systems but also useful for other purposes. Generally, this allows us to compare the similarity of two vectors from a…
DE & ML Digest
ML
Data Pipelines with Apache Beam
Medium
Data Pipelines with Apache Beam
How to implement Data Pipelines with the help of Beam
DE & ML Digest
ML
Jigsaw Puzzle AI from A to Z
Medium
Jigsaw Puzzle AI from A to Z
Assemble arbitrary real-life puzzles using basic AI tools
DE & ML Digest
ML
API Interaction with R
Medium
API Interaction with R
Vignette Demonstrating Interaction with the NHL API
DE & ML Digest
ML
A Python OR-Tools Model for Seasonal Inventory Planning
Medium
A Python OR-Tools Model for Seasonal Inventory Planning
How to use Google’s ortools package for python with the SCIP solver for mathematical optimization
DE & ML Digest
ML
Third Times the Charm?
Medium
Third Times the Charm?
Time Series Feature Engineering Three Ways
DE & ML Digest
ML
Solving the Multiple Knapsack Problem with Google OR tools
Medium
Solving the Multiple Knapsack Problem with Google OR tools
A step-by-step walkthrough of using linear programming in Python to solve the Multi-Constrained Multi-Knapsack Problem.
DE & ML Digest
Big Data
Why You Shouldn't Become A Data Engineer - Picking The Right Data Career
reddit
Why You Shouldn't Become A Data Engineer - Picking The Right Data...
Posted in r/bigdata by u/SeattleDataGuy • 2 points and 0 comments
DE & ML Digest
ML
Getting started with a Neural Network
Medium
Getting started with a Neural Network
A simple CNN example with Pytorch
DE & ML Digest
ML
Businesses are Buying Datasets When They Should Be Finding Signals
Medium
Businesses are Buying Datasets When They Should Be Finding Signals
Access to external data solves one part of the problem, but creates another.
DE & ML Digest
ML
Probability Distributions with Python’s SciPy
Medium
Probability Distributions with Python’s SciPy
How to Model random Processes with Distributions and Fit them to Observational Data
DE & ML Digest
ML
AWS Managed Workflows for Apache Airflow vs. Glue
Medium
AWS Managed Workflows for Apache Airflow vs. Glue
Understand the differences between MWAA and AWS Glue to make an informed choice for orchestration needs
DE & ML Digest
ML
Cliff-Walking Problem With The Discrete Policy Gradient Algorithm
Medium
Cliff-Walking Problem With The Discrete Policy Gradient Algorithm
A full implementation of the REINFORCE algorithm in Python. The steps are performed manually to illustrate the inner workings of the…
DE & ML Digest
ML
Tracking Your Machine Learning Project Changes with Neptune
Analytics Vidhya
Tracking Your Machine Learning Project Changes with Neptune
In this article we will be looking into how to Track Your Machine Learning Project Changes with Neptune and keep track of your work
DE & ML Digest
Big Data
Data Science с нуля. Большая подборка курсов
Хабр
Подборка бесплатных курсов для тех, кто делает первые шаги в Data Science
Статья провалидирована и обновлена автором 26.05.2023 Привет, читатель! Меня зовут Артём Сайгин, я веду телеграм канал Growth lab , в котором делюсь опытом роста IT-продуктов. Делал подборку...
DE & ML Digest
Big Data
[Перевод] Вот как Амазон измеряет свою эффективность
Хабр
Вот как Амазон измеряет свою эффективность
Этот перевод создан для телеграм-канала Инжиниринг Данных . И, так как, одной из задач создателей телеграм-канала и аналитического курса DataLearn является популяризация грамотной...
DE & ML Digest
Big Data
Собеседование на позицию Data Engineer в X5: чего ждать и как лучше подготовиться (часть 2)
Хабр
Собеседование на позицию Data Engineer в X5: чего ждать и как лучше подготовиться (часть 2)
В предыдущей статье мы поговорили про роль Data Engineer в Х5, какие задачи он решает и с каким технологическим стеком работает. Рассмотрели структуру собеседования, основные направления, по которым...
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