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Are you struggling to work out the difference between deep learning and machine learning? Packt Hub provides you with the latest Artificial Intelligence news and updates. Whether you’re looking for tutorials and news for Tensorflow or Keras, we’ve got you covered.

Data science and machine learning: what to learn in 2020

It’s hard to keep up with the pace of change in the data science and machine learning fields. And when you’re under pressure to...
Businesswoman touching whiteboard.

Understanding the role AIOps plays in the present-day IT environment

In most conversations surrounding cybersecurity these days, the term “digital transformation,” gets frequently thrown in the mix, especially when the discussion revolves around AIOps....

Artificial intelligence, data science, and big data in 2019: what really mattered

The techlash hasn’t died down - it’s just become normalized. Barely a day passes without a new scandal emerging, from questionable surveillance to racist...
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Greg Walters on PyTorch and real-world implementations and future potential of GANs

Introduced in 2014, GANs (Generative Adversarial Networks) was first presented by Ian Goodfellow and other researchers at the University of Montreal. It comprises of...
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“The challenge in Deep Learning is to sustain the current pace of innovation”, explains...

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

Quantum expert Robert Sutor explains the basics of Quantum Computing

What if we could do chemistry inside a computer instead of in a test tube or beaker in the laboratory? What if running a...
OpenCV

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

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

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 

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

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

Generative adversarial networks (GANs) have been at the forefront of research on generative models in the last couple of years. GANs have been used...

Must Read in Cloud & Networking

5 reasons why you should use an open-source data analytics stack...

Today, almost every company is trying to be data-driven in some sense or the other. Businesses across all the major verticals such as healthcare,...

Must Read in Data

5 reasons why you should use an open-source data analytics stack...

Today, almost every company is trying to be data-driven in some sense or the other. Businesses across all the major verticals such as healthcare,...

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