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Packt Publishing's blog post was featured

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

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 spaceFor 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 NASA's Kepler space telescope.In the dataset, column 1…See More
Oct 20
Packt Publishing's 2 blog posts were featured
Oct 10
Prabhakaran Sampath liked Packt Publishing's blog post Tech Talk with Rowel Atienza: Is Keras the Perfect Deep Learning Library in Python?
Aug 22
Packt Publishing posted a blog post

Tech Talk with Rowel Atienza: Is Keras the Perfect Deep Learning Library in Python?

Keras [Chollet, François. "Keras (2015)." (2017)] is a popular deep learning library with over 250,000 developers at the time of writing, and over 600 active contributors. This library is dedicated to accelerating the implementation of deep learning models. This makes Keras ideal when we want to be practical and hands-on.Keras enables us to build and train models efficiently. In the library, layers are connected to one another like pieces of Lego, resulting in a model that is clean and easy to…See More
Aug 22
Packt Publishing's blog post was featured

Tech Talk with Rowel Atienza: Is Keras the Perfect Deep Learning Library in Python?

Keras [Chollet, François. "Keras (2015)." (2017)] is a popular deep learning library with over 250,000 developers at the time of writing, and over 600 active contributors. This library is dedicated to accelerating the implementation of deep learning models. This makes Keras ideal when we want to be practical and hands-on.Keras enables us to build and train models efficiently. In the library, layers are connected to one another like pieces of Lego, resulting in a model that is clean and easy to…See More
Aug 22
Packt Publishing posted a blog post

Machine Learning has Significant Potential for the Manufacturing Sector

Since the start of the renaissance era, technology started to take over the lives of the humans and to gown to greater heights in the coming decade with completely replacing man from few spots in terms of the manual work or heavy work, they most influenced sector was the industrial sector. Since, it’s more oriented to the manual work which has rapidly changed the face of the industrial sector.But now when the machines already captured most of the manual workspaces from man, now they are moving…See More
Aug 4
Packt Publishing's blog post was featured

Machine Learning has Significant Potential for the Manufacturing Sector

Since the start of the renaissance era, technology started to take over the lives of the humans and to gown to greater heights in the coming decade with completely replacing man from few spots in terms of the manual work or heavy work, they most influenced sector was the industrial sector. Since, it’s more oriented to the manual work which has rapidly changed the face of the industrial sector.But now when the machines already captured most of the manual workspaces from man, now they are moving…See More
Aug 4
Packt Publishing posted blog posts
Aug 1
Packt Publishing's 2 blog posts were featured
Aug 1
Packt Publishing posted a blog post

Building Neural Network in Keras

A neural network is a series of algorithms that aims to identify underlying relationships in a set of data through a process that is similar to the way the human brain functions.Keras is an open-source library written in Python for advancing and evaluating deep learning models. It enables you to define and train neural network models in a few lines of code. In this post, we will learn how to build a neural network using Keras.In this article, we will learn how to build a Neural Network using…See More
Jul 18
Packt Publishing's blog post was featured

Building Neural Network in Keras

A neural network is a series of algorithms that aims to identify underlying relationships in a set of data through a process that is similar to the way the human brain functions.Keras is an open-source library written in Python for advancing and evaluating deep learning models. It enables you to define and train neural network models in a few lines of code. In this post, we will learn how to build a neural network using Keras.In this article, we will learn how to build a Neural Network using…See More
Jul 18
Vincent Granville and Packt Publishing are now friends
Jun 13
Packt Publishing posted a blog post

Web Scraping

All the data we need today is already available on the internet, which is great news for data scientists. The only barrier to using this data is the ability to access it. There are some platforms that even include APIs (such as Twitter) that support data collection from web pages, but it is not possible to crawl most web pages using this advantage..This article is written by Olgun Aydin, the author of the book…See More
May 30
Packt Publishing's blog post was featured

Web Scraping

All the data we need today is already available on the internet, which is great news for data scientists. The only barrier to using this data is the ability to access it. There are some platforms that even include APIs (such as Twitter) that support data collection from web pages, but it is not possible to crawl most web pages using this advantage..This article is written by Olgun Aydin, the author of the book…See More
May 30
Rakesh Chintha liked Packt Publishing's blog post Common MapReduce Patterns
May 30
Packt Publishing posted a blog post

Serving with the PyTorch model – Flask

PyTorch is known for being a clean framework, and hence it was a challenging task to achieve the production capability and flexibility needed for research. I think that the major hurdle for pushing production support to the core was going out of Python's realm and moving the PyTorch model to a faster, thread-safe language that has multithreading capability. But then, that violated the Python-first principle that PyTorch had up to that point. Serving the PyTorch model in Python itself is the…See More
May 16

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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

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…

Continue

Implementing Linear Regression with Golang

Posted on October 9, 2019 at 11:09pm 0 Comments

Did you ever wonder why linear regression plays an important role in statistics and machine learning? It is witnessed that linear regression is one of the most commonly and well-understood algorithms. 

Regression is a statistical method for calculating relationships among variables. It is one of the most popular and simplest regression…

Continue

Understanding Dataflow graphs in TensorFlow

Posted on October 6, 2019 at 11:50pm 0 Comments

In order to be a highly efficient, flexible, and production-ready library, TensorFlow uses dataflow graphs to represent computation in terms of the relationships between individual operations. Dataflow is a programming model widely used in parallel computing and, in a dataflow graph, the nodes represent units of computation while the edges represent the data consumed or produced by a computation unit.

This post is taken from the book…

Continue

Tech Talk with Rowel Atienza: Is Keras the Perfect Deep Learning Library in Python?

Posted on August 22, 2019 at 1:36am 0 Comments

Keras [Chollet, François. "Keras (2015)." (2017)] is a popular deep learning library with over 250,000 developers at the time of writing, and over 600 active contributors. This library is dedicated to accelerating the implementation of deep learning models. This makes Keras ideal when we want to be practical and hands-on.

Keras enables us to build and train models efficiently. In the library, layers are connected…

Continue

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