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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
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…Continue
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…Continue
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.
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