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Data science dominates what we do as developers. Whether you’re managing, modelling or storing data, the latest data science news at Packt Hub will help you stay on top of new developments. We provide news, insights and tutorials around tools and topics like tensorflow, machine learning, deep learning, artificial intelligence and big data.

New QGIS 3D capabilities and future plans presented by Martin Dobias, a core QGIS...

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In his talk titled QGIS 3D: current state and future at FOSS4G 2019, Martin Dobias, CTO of Lutra Consulting talked about the new features...
Humble Bundle and Packt partner on AI bundle

Greg Walters on PyTorch and real-world implementations and future potential of GANs

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Introduced in 2014, GANs (Generative Adversarial Networks) was first presented by Ian Goodfellow and other researchers at the University of Montreal. It comprises of...

Elastic marks its entry in security analytics market with Elastic SIEM and Endgame acquisition

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For many years, Elastic Stack has served as an open-source, simple yet powerful interface for security analysts to detect and mitigate malicious behavior. However,...
jakarta EE

“The challenge in Deep Learning is to sustain the current pace of innovation”, explains...

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If we talk about recent breakthroughs in the software community, machine learning and deep learning is a major contender - the usage, adoption, and...
OpenCV

Master the art of face swapping with OpenCV and Python by Sylwek Brzęczkowski, developer at...

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No discussion on image processing can be complete without talking about OpenCV. Its 2500+ algorithms, extensive documentation and sample code are considered world-class for...
Switching to Python

Getting to know PyMC3, a probabilistic programming framework for Bayesian Analysis in Python

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Bayes' theorem, named after 18th-century British mathematician Thomas Bayes, is a mathematical formula for determining conditional probability. This theorem is used to revise or...
distributed network

Kaggle’s Rachel Tatman on what to do when applying deep learning is overkill 

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Deep learning, an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last decade. It...
decision trees

Why decision trees are more flexible than linear models, explains Stephen Klosterman

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This blog post will examine a hypothetical dataset of website visits and customer conversion, to illustrate how decision trees are a more flexible mathematical...

Teaching GANs a few tricks: a bird is a bird is a bird, robots...

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Generative adversarial networks (GANs) have been at the forefront of research on generative models in the last couple of years. GANs have been used...
execute jobs in an iterative way with Pentaho Data Integration (PDI)

#AskTensorFlow: Twitterati ask questions on TensorFlow 2.0 – TF prebuilt binaries, Tensorboard, Keras, and...

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TensorFlow 2.0 was released recently with tighter integration with Keras, eager execution enabled by default, three times faster training performance, a cleaned-up API, and...

Must Read in Cloud & Networking

Top life hacks for prepping for your IT certification exam

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I remember deciding to pursue my first IT certification, the CompTIA A+. I had signed up for a class that lasted one week, per...

Must Read in Data

Learn Transformers for Natural Language Processing with Denis Rothman

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Key takeaways The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. Artificial intelligence is...

Distributed training in TensorFlow 2.x

Interviews