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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
120 subscribers
DE & ML Digest
ML
Basics of Recommender Systems
Medium
Basics of Recommender Systems
User Similarity, Item Similarity, Collaborative Filtering, Content-Based Models, Latent Space Models
DE & ML Digest
ML
How to Build a YouTube Trannoscription App in Python
Medium
How to Build a YouTube Trannoscription App in Python
A Step-by-Step Tutorial using AssemblyAI and Streamlit
DE & ML Digest
ML
Forecasting the Future Power Consumption of Germany using LSTM(RNN) and DNN
Medium
Forecasting the Future Power Consumption of Germany using LSTM(RNN) and DNN
Exploratory Data Analysis of last 5 years’ Power Consumption and Predicting the future Power Consumption using LSTM(RNN) and DNN
DE & ML Digest
ML
Fisher’s Linear Discriminant: Intuitively Explained
Medium
Fisher’s Linear Discriminant: Intuitively Explained
An intuitive explanation of Fisher’s Linear Discriminant, the Basis of Linear Discriminant Analysis
DE & ML Digest
ML
Active Learning at Scale — Building a Robust Data Unification Framework
Medium
Active Learning at Scale — Building a Robust Data Unification Framework
Oftentimes it’s not about the model, or even the data itself, but rather the engine that keeps on spinning.
DE & ML Digest
ML
What Are the Prevailing Explainability Methods?
Medium
What Are the Prevailing Explainability Methods?
Welcome to “The Slice,” a new blog series that explains the essence of ML concepts
DE & ML Digest
ML
Benchmark your Machine Learning Models using Cloud Based AutoML
Medium
Benchmark your Machine Learning Models using Cloud Based AutoML
Developing accurate models and tools to predict or classify data is an integral part of a data scientist’s job. Building models takes…
DE & ML Digest
ML
Road Map from Naive Bayes Theorem to Naive Bayes Classifier
Medium
Road Map from Naive Bayes Theorem to Naive Bayes Classifier (Stat-09)
Complete Guideline for Naive Bayes Classifier with Implementation from Scratch
DE & ML Digest
Big Data
Top 6 trends in data and analytics for 2022
VentureBeat
Top 6 trends in data and analytics for 2022
Discover and understand the top 6 trends that will dominate the data and analytics scene and drive business decisions in 2022.
DE & ML Digest
ML
Improve your Model Performance with Auto-Encoders
Medium
Improve your Model Performance with Auto-Encoders
Use Autoencoders as a Feature Extractor
DE & ML Digest
Big Data
5 ways the world of IT operations will shift in 2022 (and beyond)
VentureBeat
5 ways the world of IT operations will shift in 2022 (and beyond)
Recent predictions from Gartner, IDC, and Forrester explain how IT operations will need to adapt and evolve in 2022 and beyond.
DE & ML Digest
Big Data
Rocket to buy Truebill for $1.3M Cash, proxy for the worth of my data start-up pick Reklaim?
Reddit
From the bigdata community on Reddit: Rocket to buy Truebill for $1.3M Cash, proxy for the worth of my data start-up pick Reklaim?
Posted by LashawnaCornett - No votes and no comments
DE & ML Digest
Big Data
Как и для чего мы научили нейросеть оценивать повреждения на авто
Хабр
Как и для чего мы научили нейросеть оценивать повреждения на авто
Страховому агенту нужно около часа, чтобы оценить и описать повреждения авто после аварии. Осмотреть каждую деталь, оформить документы. А если посчитать время на дорогу, то оценка и вовсе затянется...
DE & ML Digest
Big Data
[Перевод] Как создать эффективный план разметки данных?
Хабр
Как создать эффективный план разметки данных?
Введение Для обучения моделей ML необходимо множество размеченных данных. Хотя это не всегда обязательно, но иногда вам приходится самостоятельно размечать данные для обучения модели. Процесс...
DE & ML Digest
Big Data
Миграция расчёта управленческой отчётности с Teradata на GreenPlum
Хабр
Миграция расчёта управленческой отчётности с Teradata на GreenPlum
Всем привет! Меня зовут Николай Когель, я главный инженер по разработке Управления технологий MIS Департамента ИТ-блока «Финансы» в Сбере. Сейчас в Сбере существует несколько крупных систем, в...
DE & ML Digest
Big Data
Automation Anywhere acquires FortressIQ to boost process mining
VentureBeat
Automation Anywhere acquires FortressIQ to boost process mining
Automation Anywhere has agreed to acquire FortressIQ in a deal that'll join the former's platform with advanced process mining tools.
DE & ML Digest
Big Data
Open source NLP is fueling a new wave of startups
VentureBeat
Open source NLP is fueling a new wave of startups
A growing number of startups are offering open source language models as a service, competing with heavyweights like OpenAI.
DE & ML Digest
ML
Generalized Attention Mechanism: BigBird’s Theoretical Foundation and General Transformers Models
Medium
Generalized Attention Mechanism: BigBird’s Theoretical Foundation and General Transformers Models
As a little background, BigBird is a model released from Google Research relatively recently that can handle much lengthier sequences of…
DE & ML Digest
ML
The Definitive Way to Deal With Continuous Variables in Machine Learning
Medium
The Definitive Way to Deal With Continuous Variables in Machine Learning
A combination of statistical methods and engineering is key. Let’s see why and how KBinsDiscretizer should be the ML engineer’s friend.
DE & ML Digest
ML
Stuck trying to get PySpark to work in your Data Science environment? Here is another way.
Medium
Stuck trying to get PySpark to work in your Data Science environment? Here is another way.
How to set up a PySpark development environment with Docker and Jupyter Notebook
DE & ML Digest
ML
A Comprehensive Guide on Markov Chain
Analytics Vidhya
A Comprehensive Guide on Markov Chain
In this guide on Markov Chain, several value-able ideas have been developed which are paramount in the field of data analytics.
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