We are a firm based in Chandigarh. We provide the following services:
1. Data Annotations : Data annotation is important in machine learning because in many cases, it makes the work of the machine learning program much easier.
This has to do with the difference between supervised and unsupervised machine learning. With supervised machine learning, the training data is already labeled so the machine can understand more about the desired results. For example, if the purpose of the program is to identify cats in images, the system already has a large number of photos tagged as cat or not. It then uses those examples to contrast new data to make its results.
2. Data Cleaning : Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting.
After cleansing, a data set should be consistent with other similar data sets in the system. The inconsistencies detected or removed may have been originally caused by user entry errors, by corruption in transmission or storage, or by different data dictionary definitions of similar entities in different stores. Data cleaning differs from data validation in that validation almost invariably means data is rejected from the system at entry and is performed at the time of entry, rather than on batches of data.
3. Data Visualisation : Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.
Today’s data visualization tools go beyond the standard charts and graphs used in Microsoft Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps, sparklines, heat maps, and detailed bar, pie and fever charts. The images may include interactive capabilities, enabling users to manipulate them or drill into the data for querying and analysis. Indicators designed to alert users when data has been updated or predefined conditions occur can also be included.
4.ML/AI Prototyping : We are moving toward an era of pervasive interactions with machine intelligence. Consider that increasing numbers of autonomous vehicles are mixing with pedestrians and traditional vehicles. Home IoT devices independently sense and act on our behalf. Co-bots work side by side with people.
We can help you bring allof these futuristic ideas to life.