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Richard Gall is co-editor of the Packt Hub. He’s interested in politics, tech culture, and how software is being used by modern businesses.
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Packt Publishing's Blog

Tech Talk: Sebastian Raschka’s take on TensorFlow 2.0 and the new edition of his widely acclaimed Python Machine Learning book

Posted on December 27, 2019 at 1:38am 0 Comments

Through exposure to the news and social media, you are probably familiar with the fact that machine learning has become one of the most exciting technologies of our time. While it may seem that machine learning has become the buzzword of our age, it is certainly not just hype. This exciting field opens up the way to new possibilities and has become indispensable to our daily lives.

Being exposed to practical code examples and working through example applications

of machine…


3 essential elements for mastering machine learning for 2020

Posted on December 20, 2019 at 2:00am 0 Comments

Thomas Edison famously said that success is 90% perspiration and 10% inspiration. That’s nowhere truer than in machine learning. Even though the hype around artificial intelligence has never been higher, the reality of what it takes to actually work in the field - and what it takes to use it successfully - is mired in confusion.

Indeed, hype makes it look like 100% inspiration; it hides the work involved in building knowledge and learning skills.

So, to help tackle that, here…


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

Posted on November 18, 2019 at 8:30pm 0 Comments

Deep Learning an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last decade. It is regarded as a game-changer in AI, with distinct progress in computer vision, natural language processing (NLP), speech and other areas of machine learning. This year an Indeed survey found ‘deep learning engineer’ to be the best job in tech positions in the USA.

Though deep learning has many benefits and a very…


Building an exoplanet detection model using TensorFlow's prebuilt estimator for gradient boosting trees

Posted on October 18, 2019 at 1:30am 0 Comments

In this post we will talk about the Kepler dataset from Kaggle competitions and use it to build an exoplanet detection model using TensorFlow's prebuilt estimator for gradient boosting trees known as the BoostedTreesClassifier.

Detecting exoplanets in outer space

For the project explained in this post, we use the Kepler labeled time series data from Kaggle. This dataset is derived mainly from the Campaign 3 observations of the mission by…


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