Machine Learning and Deep Learning Services
- Machine Learning is an important fragment of Artificial Intelligence which empowers the machines to naturally learn and furthermore to improve the machine's working experience without being programmed.
- AI encourages the organizations to derive the exact information which enables them to make better choices. Appropriate way to deal with Machine Learning empowers the organizations to address the issues and mistakes that the early traditional methods couldn’t solve.
- Machine Learning and Deep Learning has become very significant on account of the expanded market of Artificial Intelligence. The principle focal point of AI is on showing machines how to mimic the human works that too based on their past encounters.
Who we are
We at Techasoft believe in advanced combination of Machine learning and Deep learning techniques. We can reach the higher Success Rate in Implementation towards live projects. We make it simpler for everyone, we understand your requirements and research and work on the best possible solution.
We focus on making the best industry projects. At Techasoft, we are a dedicated team working on Machine learning and deep learning on innovating new trends.
Techasoft offers world-class machine learning services and solutions for businesses in Bangalore, Hyderabad, Mumbai, Delhi NCR, India and for the global market. Our machine learning and deep learning specialists and data scientists can help you better understand the potential of Machine Learning for your business. This makes Techasoft the top Machine learning company in Bangalore.
Techasoft's major AI offerings are Sales, Marketing, Resources and Finance.
At Techasoft, a leading Machine learning company in Bangalore, we work in multiple industries namely Banking and Finance, Healthcare, Retail, Oil and Gas Industry, E-Commerce, Telecommunication, FMCG, Marketing and Sales and Fashion.
We have been using a variety of computer vision models which have helped us to gain a lot of experience. We can now solve any problem of yours related to machine learning and deep learning.
Arranging pictures into various classifications is a crucial assignment in computer vision and profound learning models are getting to human level precision in characterization. We have mastered this fundamental task.
FACE DETECTION AND RECOGNITION
Owing to the advance in facial detection researches, machines can now detect and recognize faces that too in images. This face detection is also now used a method of biometric security and also to understand the human emotions via facial expressions.
With the help of deep learning architecture like SSD, FASTER RCNN, YOLO and etc. we have been successful in building object detection models and this number is increasing day by day.
As the price graph of Ariel detection models like drones is going down, there is an increase in it’s usage and now even drones have become an important yet challenging part of computer vision.
Object tracking is the method of tracking or noting down the movement of an object across / against a set of frames. The main motive of this approach is to understand the movement and behavior of the object.
This approach of object segmentation allows one to understand the pixel wide location of an object in an image. It also gives us an insight of other object related approaches.
AUDIO BASED CLASSIFICATION
Audio based classification is already in – demand, as it not only allows an user to see the surroundings but also hear it. It is also being used increasingly in many Machine learning applications.
Even handwriting can now be recognized with the help of Artificial Intelligence. This method can be used to scan documents, save them to a database and can also be used to identify the writer.
2D AND 3D POSE
Deep Learning allows one to understand the 2D and 3D pose. Mostly it is beneficial for players so that they can better understand the position and techniques of humans playing sports.
NATURAL LANGUAGE PROCESSING
One cannot stay away from languages. Natural processing languages are increasingly used by the companies as a part of Artificial Intelligence to build smart applications and understand text.
Advances in Deep learning has improved the ability of algorithms to understand the text. With the help of CNN we have build smart case routers which can be used to understand the customer complaints and also direct them to the right direction.
Text summarization enables one to summarize and understand text like – news, blogs , articles and etc.
QUESTION ANSWER MODELLING
This is not less than a wonder. Deep learning has enabled the companies to draft models that could answer any question from the paragraph by scanning the relevant words.
Topic modelling uses unsupervised learning to derive the main topics in a document. This allows one to better understand the main themes of a document.
This is used by the companies to understand the emotions connected with their brands, product and services. It is also used to monitor online conversation and understand a customers conversation with company's agents.
Computer vision can be used to track and recognize objects, detect OCR, analyze videos and much more.
BIG DATA ANALYTICS
Deep Neural Networks outdo the traditional techniques when it comes to analyzing data which is large both in data numbers and features. It has also been helpful in discovering the covered but useful trends.
TIME SERIES MODELLING
It is used to automatically handle the temporal and seasonal data. It is also used to build classification and regression models.
It is used to detect something suspicious or rare or something which differs from the majority of data.
Machine Learning Video
Machine Learning is an important fragment of Artificial Intelligence which empowers the machines to naturally learn and furthermore to improve the machine's working experience without being programmed.
Examples : Video Surveillance, social media services.
Currently among the vast list of programming languages present – python is the most popular.
Natural processing languages are increasingly used by the companies as a part of Artificial Intelligence to build smart applications and understand text.