DE & ML Digest
@mlbigdata
118
subscribers
9
photos
1
video
34.7K
links
Collection of all articles on Data Engineering and Machine Learning
Contact -
@luminousmen
Download Telegram
Join
DE & ML Digest
118 subscribers
DE & ML Digest
Big Data
Do you agree?
reddit
Do you agree?
Posted in r/bigdata by u/D3Vtech • 49 points and 6 comments
DE & ML Digest
ML
Understanding Simple Recurrent Neural Networks In Keras
MachineLearningMastery.com
Understanding Simple Recurrent Neural Networks in Keras - MachineLearningMastery.com
This tutorial is designed for anyone looking for an understanding of how recurrent neural networks (RNN) work and how to use them via the Keras deep learning library. While the Keras library provides all the methods required for solving problems and building…
DE & ML Digest
ML
A Tour of Attention-Based Architectures
DE & ML Digest
ML
3 Ways To Perform Quick Exploratory Data Analysis In Python
Medium
3 Ways To Perform Quick Exploratory Data Analysis In Python
Gain a better understanding of your data
DE & ML Digest
ML
8+ Reinforcement Learning Project Ideas
Medium
8+ Reinforcement Learning Project Ideas
Looking for a way to get practical, hands-on experience with reinforcement learning? Here are some project ideas to inspire you.
DE & ML Digest
ML
TT-SRN: Transformer-based Video Instance Segmentation Framework
Medium
TT-SRN: Transformer-based Video Instance Segmentation Framework
Joint Object Detection, Instance Segmentation, Object Tracking, and Classification in Video Domain
DE & ML Digest
ML
Kalman Filtering: A Simple Introduction
Medium
Kalman Filtering: A Simple Introduction
The optimal online learning algorithm for linear systems with Gaussian noise
DE & ML Digest
ML
Demystified: Wasserstein GAN with Gradient Penalty
Medium
Demystified: Wasserstein GAN with Gradient Penalty
Why is Gradient Penalty better than gradient clipping? What is Gradient Penalty and how do we implement it?
DE & ML Digest
ML
Binomial Distribution and Binomial Test in Python — Statistics — PyShark
Medium
Binomial Distribution and Binomial Test in Python — Statistics — PyShark
In this article we will explore binomial distribution and binomial test in Python.
DE & ML Digest
ML
Causality: An Introduction
Medium
Causality: An Introduction
The new science of an old question
DE & ML Digest
ML
The Ethics of AI-driven Workforce Surveillance
Medium
The Ethics of AI-driven Workforce Surveillance
Discover how companies can use AI to monitor their employees’ productivity, health and behavior, and how far companies should really go.
DE & ML Digest
ML
FedJAX: Federated Learning Simulation with JAX
Google AI Blog
FedJAX: Federated Learning Simulation with JAX
Posted by Jae Hun Ro, Software Engineer and Ananda Theertha Suresh, Research Scientist, Google Research Federated learning is a machine ...
DE & ML Digest
ML
Python Lists Are Overrated
Medium
Python Lists Are Overrated
Consider these potentially superior alternatives
DE & ML Digest
ML
How To Generate Machine Learning Use Case Ideas For Your Portfolio Project
Medium
How To Generate Machine Learning Use Case Ideas For Your Portfolio Project
Three Idea Creation Techniques
DE & ML Digest
Big Data
How database companies keep their data straight
VentureBeat
How database companies keep their data straight
Delivering consistent data with one computer is simple. With several machines, however, defining the truth can be complicated.
DE & ML Digest
ML
Top Stories, Sep 27 – Oct 3: Path to Full Stack Data Science
KDnuggets
Top Stories, Sep 27 - Oct 3: Path to Full Stack Data Science - KDnuggets
Also: How To Build A Database Using Python; Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI?; Nine Tools I Wish I Mastered Before My PhD in Machine Learning; 20 Machine Learning Projects That Will Get You Hired
DE & ML Digest
Big Data
Digital supply chain provider Beacon raises $50M
VentureBeat
Digital supply chain provider Beacon raises $50M
U.K.-based company Beacon's cloud-based software platform optimizes digital supply chains with insights and visibility.
DE & ML Digest
ML
Deriving Backpropagation with Cross-Entropy Loss
Medium
Deriving Backpropagation with Cross-Entropy Loss
Minimizing the loss for classification models
DE & ML Digest
ML
Kickstart a Big Data Project with AWS EMR and Pyspark
Medium
Kickstart a Big Data Project with AWS EMR and Pyspark
Make scalable data analysis and machine learning with video game data on Amazon Web Services
DE & ML Digest
ML
Emojis in Your Data
Medium
Emojis in Your Data
🤓
Everything you need to know about emoji in your database or dataset.
DE & ML Digest
ML
The "Frequently Bought Together" Recommendation System
Medium
The "Frequently Bought Together" Recommendation System
A walkthrough in python using Apriori and FP Growth algorithms with the mlxtend library
TWeb.init({scrollToPost:'mlbigdata/33554'});
