Machine Learning & AI
Biohymns leverages automatic speech recognition (ASR), natural language understanding (NLU), visual search and image recognition, text-to-speech (TTS), and machine learning (ML) technologies to the fullest advantage of its clients.
Providing algorithms, APIs, development and training toolkits, data, as well as computing power to design, train, and install models into applications, processes, and other machines. Presently used in a wide variety of enterprise applications, mostly `connecting prediction or classification. Pattern Recognition and Predictive Analytics are Made Easy with ML. Machine Learning is an integral part of Artificial Intelligence, and the algorithms built on it enable computers to perform tasks on their own by learning from the data generated instead of requiring a programmer to write code to get done those tasks. Contechie leverages the full potential of pattern recognition, mathematical optimization, computational learning theory, self-optimizing, and nature-inspired algorithms to the fullest advantage of its customers, providing tailor-made machine learning services and solutions. Natural language processing (NLP) uses and supports text analytics by facilitating the appreciative of sentence structure and meaning, sentiment, and intent through statistical and machine learning methods. Presently used in fraud detection and security, a wide variety of automated assistants, and applications for mining unstructured data.
Natural Language Processing, Image Recognition and Speech Recognition are Made Easy with BioHymns Deep Learning algorithms. Deep learning is becoming a driving force behind solving challenges in areas such as :
- Demand prediction
- Medical diagnosis
- Anomaly detection
- Customer churn
- Fraud detection
- Image recognition
At BioHymns, we offer cutting-edge services and solutions on deep learning to solve your business challenges in the above areas and to draw innovative benefits in those areas. Our custom-built deep learning solutions help you build powerful and intelligent artificial neural network models that are efficient enough to automatically learn complex representations of data. We have full-stack deep learning, AI, machine learning experts and data scientists who have a deep understanding of a variety of deep learning techniques and the best practices used in deep learning use cases for multiple industries. Speech Recognition, Transcribe and transform human speech into format useful for computer applications. Presently used in interactive voice response systems and mobile applications.