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Rei Morikawa
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Rei Morikawa 2019-07-01
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In recent years, AI has evolved into one of the hottest topics for discussion. However, while AI is getting an increasing amount of attention as its applications and capabilities grow, there are still many misconceptions about what AI is and what it can do.  
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Rei Morikawa 2018-09-19
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Artificial intelligence (AI) and machine learning are becoming more integrated in many aspects of social media. AI is far from replacing human touch in the field of social media, but it is increasing both the quantity and quality of online interactions between businesses and their customers.

This article discusses 4 machine learning tools that can enhance social media marketing: social media monitoring, sentiment analysis, image recognition, and chatbots. The article includes real-life examples of how major businesses such as UNIQLO, The Container Store, GameStop, Airbnb, and Estee Lauder are actually using these machine learning techinques on their Facebook, Twitter, and Instagram accounts to build relationships with their customers through social media. 

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Rei Morikawa 2018-09-19
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Essentially, training data is the textbook that will teach your AI to do its assigned task, and will be used over and over again to fine-tune its predictions and improve its success rate. Your AI will use training data in several different ways, all with the aim of improving the accuracy of its predictions. It does this through the variables contained in the data. By identifying these and evaluating their impact on the algorithm, data scientists can strengthen the AI through copious adjustments. The best data will be extremely rich in detail, capable of improving your AI after hundreds of training cycles by hinting at a wide range of variables that affect your algorithm. The majority of training data will contain pairs of input information and corresponding labeled answers, which are sometimes called the target.
collect
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Rei Morikawa 2019-07-01
img
In recent years, AI has evolved into one of the hottest topics for discussion. However, while AI is getting an increasing amount of attention as its applications and capabilities grow, there are still many misconceptions about what AI is and what it can do.  
Rei Morikawa 2018-09-19
img
Essentially, training data is the textbook that will teach your AI to do its assigned task, and will be used over and over again to fine-tune its predictions and improve its success rate. Your AI will use training data in several different ways, all with the aim of improving the accuracy of its predictions. It does this through the variables contained in the data. By identifying these and evaluating their impact on the algorithm, data scientists can strengthen the AI through copious adjustments. The best data will be extremely rich in detail, capable of improving your AI after hundreds of training cycles by hinting at a wide range of variables that affect your algorithm. The majority of training data will contain pairs of input information and corresponding labeled answers, which are sometimes called the target.
Rei Morikawa 2018-09-19
img

Artificial intelligence (AI) and machine learning are becoming more integrated in many aspects of social media. AI is far from replacing human touch in the field of social media, but it is increasing both the quantity and quality of online interactions between businesses and their customers.

This article discusses 4 machine learning tools that can enhance social media marketing: social media monitoring, sentiment analysis, image recognition, and chatbots. The article includes real-life examples of how major businesses such as UNIQLO, The Container Store, GameStop, Airbnb, and Estee Lauder are actually using these machine learning techinques on their Facebook, Twitter, and Instagram accounts to build relationships with their customers through social media.