It Includes:
Duration : 160 Hours/Month
Communication : Slack, Skype, Phone, Chat, Email, etc.
Hiring Period : Monthly
Project Trackers : Jira, Daily Reports, Basecamp, etc.
Methodology: Agile
2 +
Certified Developers1- 3 years
Experience Range5 +
Clients ServedOur Machine Learning Expertise
Machine Learning is the task of teaching computational robotic processes how to make decisions by analyzing data. Machine Learning has ushered in a new type of digital transformation for business enterprises. Machine Learning is assisting businesses in the process of sifting data to find new patterns in customer psychology and market trends. It is eliminating the need for manual intervention with intuitive business process automation. ML algorithms are also at the core of continuous improvement thanks to MLOps.
Machine Learning is helping businesses reduce bias w.r.t. the sameness or disparity towards certain types of data, unlike manual predictive analysis. Hence, there is a large demand for Machine Learning as a Service (MLaaS) and quality-driven ML engineering service providers. At HourlyDeveloper, we strive to innovate your Machine Learning systems to handle larger volumes of disparate data types. We engineer them to improve the accuracy of their learning algorithms, so that they can find more complex correlations between your data and maintain more sophisticated decision trees.
The ML market is expected to expand at a CAGR of 44%, from $1 billion in 2016 to $9 billion by the end of 2022. It is because businesses are dependent on Machine Learning to process copious volumes of structured and unstructured data to help them make more informed decisions. HourlyDeveloper’s Machine Learning services can make the data mining process for your business' ML algorithms, a more educative and informative process.
HourlyDeveloper can assist your business with supervised, unsupervised, and reinforced machine learning model development. You can hire us for the creation of accurate algorithms that match your requirements. We analyze your business cases in detail to consult and engineer your ML models for better data engineering, predictive analysis, and business intelligence, so you can generate better ROI over time.
HourlyDeveloper can assist your business with Natural Language Processing services so that your AI processes are able to interpret more complex sets and higher volumes of disparate data over time. Our NLP services are specifically catered to businesses with ML processes that require an understanding of user behavior and sentiment, speech recognition, text summarization, etc.
HourlyDeveloper is a Machine Learning development company that can assist your business with simulated and personalized human conversations through text, voice chats, or both. Our expertise in Natural Language Processing helps us create custom chatbots that analyze user behavior to suggest dynamic solutions. Our chatbots can scale to serve an incremental number of users, automate tasks, and engage in conversion processes flawlessly.
We can help automate image & video analysis processes with AI. Our ML engineers can assist with the rapid integration of APIs that can scale analysis from tens to millions of images, streaming video clips, and even enhance manual review tasks with AI automation. We can enhance your AI processes for personnel identification from images or video footage to detect segments, text, color, and stills.
As a Machine Learning development company, we can assist your business with the deep neural network learning of your Machine Learning systems. It would help your AI processes discover underlying patterns sans manual intervention. We can train these systems to scale up or down to process massive amounts of structured and unstructured data as per your business requirement.
We can help streamline and offer machine learning consulting for the deployment of Machine Learning models using MLOps. Our engineers are capable of end-to-end deployment of ML models in a batch system for real-time processes. They can help automate workflows for repetitive MLOps pipelines. They can also help your enterprise manage the CI/CD of ML artifacts across departments and monitor their performance for bespoke enhancements.
It Includes:
Duration : 160 Hours/Month
Communication : Slack, Skype, Phone, Chat, Email, etc.
Hiring Period : Monthly
Project Trackers : Jira, Daily Reports, Basecamp, etc.
Methodology: Agile
It Includes:
Team Members : 1 (PM), 1 (QA), 4 (Developers)
Communication : Slack, Skype, Phone, Chat, Email, etc.
Hiring Period : Monthly
Project Trackers : Jira, Daily Reports, Basecamp, etc.
Methodology: Agile
It Includes:
Duration : Hourly Basis
Communication : Slack, Skype, Phone, Chat, Email, etc.
Hiring Period : 24 Hours (minimum)
Project Trackers : Jira, Daily Reports, Basecamp, etc.
Methodology: Agile
It Includes:
Location : Development Center Set Up In India
Team Members : 20 Minimum
HourlyDeveloper Team : Project Managers, HR, Legal, Accounts & Support Team
Communication : Slack, Skype, Phone, Chat, Email, etc.
Project Trackers : Jira, Daily Reports, Basecamp, etc.
Automation is the middle name for machine learning. ML helps businesses cut down on the manual intervention required. This allows your business to reduce the margin of human error and overhead, and focus instead on data accuracy.
Machine learning implements an unbiased system for data analysis. It reduces the time required to shift through high volumes of data. Predictive analysis of multi-variety KPIs allows businesses to curate a more personalized user experience.
When a human resource sits through multi-dimension & multi-variety data types, time and accuracy become major headaches for the business. However, ML algorithms can achieve a greater degree of accuracy and therefore render flawless business decisions.
Data collection and data pre-processing become easier for a Machine Learning development company when ML processes learn from explicitly programmed data models. Improved accuracy of information espouses better business outcomes from informed decision-making.
Machine Learning is not just a boon for data processing and outcome predicting. It can also lead to better risk assessment, better information classification, fraudulence detection, user sentiment analysis, innovative cyber-security filtration, etc.
Machine Learning finds use in heterogeneous business domains these days. Machine Learning can be used to cater to personalized user-facing services, it can give users better financial forecasting; ML even finds use in telemedicine and ePharma.
HourlyDeveloper wastes little time with the dissemination of your SRS documentation. Our ML experts are quick to respond with a quote so there is little to no waiting time wasted between your job order and the production floor.
HourlyDeveloper is a client-centric Machine Learning development company. We have service packages that are designed after flexible, remote-first engagement models. We offer productivity as per your productivity time.
We have top-notch Machine Learning scientists who can manifest bespoke solutions with their cumulative expertise, regardless of whether your ML requirements are startup-scale or enterprise-scale.
By using HourlyDeveloper’s ML services, you can launch your products faster than your market competition, as we employ a combination of best practices and machine learning toolchains to expedite your requirements.