Machine Learning Archives - Great Learning
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How AI and Machine Learning Can Win Elections

Elections are the time when the people of a country are bestowed with the power to choose the next government that will govern their nation. The period leading up to the elections is packed with massive campaigning activities by all political parties. Every voter has his/her own ideologies and expectations that they would like to … Continue reading How AI and Machine Learning Can Win Elections

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I’d like to thank Great Learning for their support and guidance: Sravan Malla, Machine Learning Alumnus

Artificial Intelligence and Machine Learning are at the forefront of the technological revolution we are witnessing today. The number of individuals aspiring to become certified AI and ML practitioners has increased exponentially. There are a lot of institutes to choose from to learn AI, so making the right choice needs to be a calculated move. … Continue reading I’d like to thank Great Learning for their support and guidance: Sravan Malla, Machine Learning Alumnus

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3 Machine Learning Models Spotify uses to recommend music you’ll like

In the early 2000s, Songza implemented a manual music recommendation system for its listeners, where a team of music experts and curators would create playlists. But these recommendations were not objective, as they were dependent on the personal taste of the curators. It was an average experience for listeners, with a fair share of hits … Continue reading 3 Machine Learning Models Spotify uses to recommend music you’ll like

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Model Evaluation Techniques for Machine Learning Classification Models

In machine learning, we often use the classification models to get a predicted result of population data. Classification is one of the two sections of supervised learning, and it deals with data from different categories. The training dataset trains the model to predict the unknown labels of population data. There are multiple algorithms: Logistic regression, … Continue reading Model Evaluation Techniques for Machine Learning Classification Models

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Run experiments by building your own Deep Learning Machine

If you are taking up a Deep Learning or Machine Learning course right now, the best way to learn is by running your own experiments. To run those experiments and train models with large data sets, you’ll need a significant amount of processing power. Theoretically, you could use your laptop to run some of these … Continue reading Run experiments by building your own Deep Learning Machine

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Building a framework for a Machine Learning algorithm that can recognize handwriting

Manually transcribing large amounts of handwritten data is an arduous process that’s bound to be fraught with errors. Automated handwriting recognition can drastically cut down on the time required to transcribe large volumes of text, and also serve as a framework for developing future applications of machine learning. Handwritten character recognition is an ongoing field … Continue reading Building a framework for a Machine Learning algorithm that can recognize handwriting

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Why is an Artificial Intelligence Generated Piece of Art Worth $432,500?

October 25th, 2018 was a turning point in the world of Artificial Intelligence-generated art. That was the day when “Portrait of Edmond Belamy”, was auctioned off for an unprecedented price at Christie’s. It was ‘painted’ by Obvious who are a collective of French students, using a Generative Adversarial Network algorithm (GAN). The price that the … Continue reading Why is an Artificial Intelligence Generated Piece of Art Worth $432,500?

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Great Learning Skills Report 2018

We are pleased to present the Great Learning Skills Report 2018 in collaboration with Analytics Vidhya. The report aims to provide you with an overview of the career opportunities in data-related domains and help you understand the impact of upcoming technologies like Artificial Intelligence, Machine Learning, and Big Data. Extensively covered in leading publications like … Continue reading Great Learning Skills Report 2018

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IBM Watson to Analyze Player Emotions to Edit Highlights at Wimbledon 2018

Wimbledon and its digital partner IBM have fine-tuned their artificial intelligence (AI) systems this year to help automatically edit the top action. With an average of three matches per court, per day, video from matches can add up to hundreds of hours of footage. AI-analysis uses crowd noise, player actions, and match data to edit … Continue reading IBM Watson to Analyze Player Emotions to Edit Highlights at Wimbledon 2018

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