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$35 USD / hora
Bandera de SINGAPORE
singapore, singapore
$35 USD / hora
Aquí son las 6:59 p. m.
Se unió el julio 31, 2018
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David G.

@artech2world

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$35 USD / hora
Bandera de SINGAPORE
singapore, singapore
$35 USD / hora
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Machine Learning, Deep Learning, Data Analytics

We are a professional team focusing on machine learning R&D and AI applications including image/video data, text/natural language data and business data analysis: # Machine Learning and pattern recognition: Neural networks and deep learning (e.g. CNN, R-CNN, Fast R-CNN, ResNet) Clustering (e.g. automatic hierarchical clustering) Classification (e.g. SVM, decision trees, Bayes classifier) Regression (e.g. linear/nonlinear regression) Reinforcement learning (e.g. brute force, value function) # Image/video data mining: Image feature extraction/segmentation Object detection Object tracking Motion recognition # Text mining/language data mining: Web data scraping/site crawling Text categorization Semantic analysis # General data analytics: Business/Industrial big data analysis Data visualization and analysis # Mathematics: Optimization Mathematics modelling
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Portafolio

4560225
Deep learning is used in the medical field for segmentation, diagnosis, classification, prediction, and detection of various anatomical regions of interest (ROI). Compared to traditional machine learning, deep learning is far superior as it can learn from raw data, and has multiple hidden layers which allow it to learn abstractions based on inputs.
Deep learning for medical data analysis
Deep learning is used in the medical field for segmentation, diagnosis, classification, prediction, and detection of various anatomical regions of interest (ROI). Compared to traditional machine learning, deep learning is far superior as it can learn from raw data, and has multiple hidden layers which allow it to learn abstractions based on inputs.
Deep learning for medical data analysis
4560208
The primary objective of this project was to predict the density of taxi pickups throughout New York City as it changes from day to day and hour to hour. So, given a specific location, date and time, can we predict the number of pickups in that location to a reasonably high accuracy? A secondary objective was to also predict the drop-off location.
Location and time based data mining
The primary objective of this project was to predict the density of taxi pickups throughout New York City as it changes from day to day and hour to hour. So, given a specific location, date and time, can we predict the number of pickups in that location to a reasonably high accuracy? A secondary objective was to also predict the drop-off location.
Location and time based data mining
4560197
Sentiment analysis is considered one of the most popular applications of text analytics. The primary aspect of sentiment analysis includes data analysis on the body of the text for understanding the opinion expressed by it and other key factors comprising modality and mood. Usually, the process of sentiment analysis works best on text that has a subjective context than on that with only an objective context. This is because when a body of text has an objective context or perspective to it, the text usually depicts some normal statements or facts without expressing any emotion, feelings, or mood. Subjective text contains text that is usually expressed by a human having typical moods, emotions, and feelings. Sentiment analysis is widely used, especially as a part of social media analysis for any domain, be it a business, a recent movie, or a product launch, to understand its reception by the people and what they think of it based on their opinions or, sentiment.
Text mining
Sentiment analysis is considered one of the most popular applications of text analytics. The primary aspect of sentiment analysis includes data analysis on the body of the text for understanding the opinion expressed by it and other key factors comprising modality and mood. Usually, the process of sentiment analysis works best on text that has a subjective context than on that with only an objective context. This is because when a body of text has an objective context or perspective to it, the text usually depicts some normal statements or facts without expressing any emotion, feelings, or mood. Subjective text contains text that is usually expressed by a human having typical moods, emotions, and feelings. Sentiment analysis is widely used, especially as a part of social media analysis for any domain, be it a business, a recent movie, or a product launch, to understand its reception by the people and what they think of it based on their opinions or, sentiment.
Text mining
4560184
Multiple object tracking has been an interesting field of research due to its challenges and importance. It is the main aim of surveillance system and video understanding. Recently, tracking by detection methods had emerged as immediate effect of deep learning remarkable achievements in object detection. Multiple people or pedestrian tracking also takes advantages from this progress, but still remains as hard task since not all challenges are solved. These challenges includes pose, size and shape change as well as occlusions.
Vision based object tracking
Multiple object tracking has been an interesting field of research due to its challenges and importance. It is the main aim of surveillance system and video understanding. Recently, tracking by detection methods had emerged as immediate effect of deep learning remarkable achievements in object detection. Multiple people or pedestrian tracking also takes advantages from this progress, but still remains as hard task since not all challenges are solved. These challenges includes pose, size and shape change as well as occlusions.
Vision based object tracking
4560170
Deep learning based semantic segmentation model that allows us to identify pixel wise location for our class. “Instance segmentation” means segmenting individual objects within a scene, regardless of whether they are of the same type — i.e, identifying individual cars, persons, etc. In addition to identifying the class and its bounding box location, it can also color pixels in the bounding box that correspond to that class.
Vision based object detection and semantic segmentation
Deep learning based semantic segmentation model that allows us to identify pixel wise location for our class. “Instance segmentation” means segmenting individual objects within a scene, regardless of whether they are of the same type — i.e, identifying individual cars, persons, etc. In addition to identifying the class and its bounding box location, it can also color pixels in the bounding box that correspond to that class.
Vision based object detection and semantic segmentation
4560149
#Crawl website for content extraction and provide extracted content in various format such as Microsoft Excel (.xls), XML, Microsoft Access (.mdb), SQL, etc. This service can be useful for collecting data such as Real Estate Properties, Product Scraping from E-commerce website, #Business directory Scraping like Yelp and Manta. #Scraping products from E-commerce website for price comparison. #Scraping Web Data for lead generation like email scraping, Telephone no scraping, business address scraping for telemarketing. #Scraping product reviews and ratings from popular websites like Yelp & Amazon. #Scraping email addresses to boost marketing of your product.
Web data scrapping
4560225
Deep learning is used in the medical field for segmentation, diagnosis, classification, prediction, and detection of various anatomical regions of interest (ROI). Compared to traditional machine learning, deep learning is far superior as it can learn from raw data, and has multiple hidden layers which allow it to learn abstractions based on inputs.
Deep learning for medical data analysis
Deep learning is used in the medical field for segmentation, diagnosis, classification, prediction, and detection of various anatomical regions of interest (ROI). Compared to traditional machine learning, deep learning is far superior as it can learn from raw data, and has multiple hidden layers which allow it to learn abstractions based on inputs.
Deep learning for medical data analysis
4560208
The primary objective of this project was to predict the density of taxi pickups throughout New York City as it changes from day to day and hour to hour. So, given a specific location, date and time, can we predict the number of pickups in that location to a reasonably high accuracy? A secondary objective was to also predict the drop-off location.
Location and time based data mining
The primary objective of this project was to predict the density of taxi pickups throughout New York City as it changes from day to day and hour to hour. So, given a specific location, date and time, can we predict the number of pickups in that location to a reasonably high accuracy? A secondary objective was to also predict the drop-off location.
Location and time based data mining
4560197
Sentiment analysis is considered one of the most popular applications of text analytics. The primary aspect of sentiment analysis includes data analysis on the body of the text for understanding the opinion expressed by it and other key factors comprising modality and mood. Usually, the process of sentiment analysis works best on text that has a subjective context than on that with only an objective context. This is because when a body of text has an objective context or perspective to it, the text usually depicts some normal statements or facts without expressing any emotion, feelings, or mood. Subjective text contains text that is usually expressed by a human having typical moods, emotions, and feelings. Sentiment analysis is widely used, especially as a part of social media analysis for any domain, be it a business, a recent movie, or a product launch, to understand its reception by the people and what they think of it based on their opinions or, sentiment.
Text mining
Sentiment analysis is considered one of the most popular applications of text analytics. The primary aspect of sentiment analysis includes data analysis on the body of the text for understanding the opinion expressed by it and other key factors comprising modality and mood. Usually, the process of sentiment analysis works best on text that has a subjective context than on that with only an objective context. This is because when a body of text has an objective context or perspective to it, the text usually depicts some normal statements or facts without expressing any emotion, feelings, or mood. Subjective text contains text that is usually expressed by a human having typical moods, emotions, and feelings. Sentiment analysis is widely used, especially as a part of social media analysis for any domain, be it a business, a recent movie, or a product launch, to understand its reception by the people and what they think of it based on their opinions or, sentiment.
Text mining
4560184
Multiple object tracking has been an interesting field of research due to its challenges and importance. It is the main aim of surveillance system and video understanding. Recently, tracking by detection methods had emerged as immediate effect of deep learning remarkable achievements in object detection. Multiple people or pedestrian tracking also takes advantages from this progress, but still remains as hard task since not all challenges are solved. These challenges includes pose, size and shape change as well as occlusions.
Vision based object tracking
Multiple object tracking has been an interesting field of research due to its challenges and importance. It is the main aim of surveillance system and video understanding. Recently, tracking by detection methods had emerged as immediate effect of deep learning remarkable achievements in object detection. Multiple people or pedestrian tracking also takes advantages from this progress, but still remains as hard task since not all challenges are solved. These challenges includes pose, size and shape change as well as occlusions.
Vision based object tracking
4560170
Deep learning based semantic segmentation model that allows us to identify pixel wise location for our class. “Instance segmentation” means segmenting individual objects within a scene, regardless of whether they are of the same type — i.e, identifying individual cars, persons, etc. In addition to identifying the class and its bounding box location, it can also color pixels in the bounding box that correspond to that class.
Vision based object detection and semantic segmentation
Deep learning based semantic segmentation model that allows us to identify pixel wise location for our class. “Instance segmentation” means segmenting individual objects within a scene, regardless of whether they are of the same type — i.e, identifying individual cars, persons, etc. In addition to identifying the class and its bounding box location, it can also color pixels in the bounding box that correspond to that class.
Vision based object detection and semantic segmentation
4560149
#Crawl website for content extraction and provide extracted content in various format such as Microsoft Excel (.xls), XML, Microsoft Access (.mdb), SQL, etc. This service can be useful for collecting data such as Real Estate Properties, Product Scraping from E-commerce website, #Business directory Scraping like Yelp and Manta. #Scraping products from E-commerce website for price comparison. #Scraping Web Data for lead generation like email scraping, Telephone no scraping, business address scraping for telemarketing. #Scraping product reviews and ratings from popular websites like Yelp & Amazon. #Scraping email addresses to boost marketing of your product.
Web data scrapping

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Matlab and Mathematica
CAD/CAM
Scientific Research

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