Top Machine Learning Companies in New York


9 Companies

Quytech is a trusted Mobile app, AI/ML, Blockchain and Game development company with over 10 years of experience that help startups to take their first step in the right direction. We leverage the latest technology to shape your mobile app idea into reality. Our developed applications are appreciated for highly interactive UI/UX, impeccable design, and flawless functionalities that help startups to deliver an unmatched experience to your targeted audience.

  • dollar

    <$25/hr

  • user

    50 to 249

  • calender

    2010

  • location

    United States (USA)

Nickelfox Technologies is a leading IT company that provides a wide range of services to clients around the world. Our development center is located in Noida, India, and we have offices in the United States, Australia, and the United Kingdom. We pride ourselves on our ability to deliver high-quality solutions to our clients, no matter where they are located. One of our key offerings is staff augmentation, which allows companies to augment their existing teams with skilled professionals who can help them achieve their goals. We have a large pool of talented developers, designers, and other IT professionals who can work on-site or remotely to support our clients. This can be a cost-effective solution for businesses that need to scale up their teams quickly without committing to long-term Read More

  • dollar

    $50-99/hr

  • user

    50 to 249

  • calender

    2014

  • location

    United States (USA)

Trick BPO, established in the year 2017, is an emerging global leader in providing expert data collection services and research outsourcing. We offer back office support, Data Annotation, Video Annotation, Image Annotation, Text Annotation, data entry, document conversion, web research, and scraping services. We emphasise innovation and use the best technology available. We are dedicated to delivering quality, speed, and integrated approaches through outstanding service and solutions. Triyock BPO delivers process consulting services for Business process management, AI & Automation and Digital Marketing with a mission to delivering quality, speed and integrated approach through outstanding service and solutions. Our services include Data Annotation Services, Data Processing, Automation ServRead More

  • dollar

    $25-49/hr

  • user

    50 to 99

  • calender

    2017

  • location

    United States (USA)

Appinventiv is a leading product development company with expertise in building digital solutions that garner change and transform experiences. With an adept team of 800+ tech enthusiasts serving clients across the US, Europe, and ME regions, we have so far transformed digital experiences for over 1,000 startups and Fortune 500 companies like KFC, Pizza Hut, Adidas, IKEA, KPMG, BCG, and more. Our expertise: Ideation and Product Design Mobile App Development Software Development Digital Transformation Data Science & Analytics Cloud & DevOps Blockchain Why choose us? We excel at redefining software and mobile experiences across industries, which can be seen through the unparalleled results we have achieved for our clients and the industry recognition we have received. Raised $800 Read More

  • dollar

    $25-49/hr

  • user

    1000+

  • calender

    2015

  • location

    United States (USA)

Established in 2006, PureLogics is a custom software development services company that has been at the forefront of creating game-changing, modern technology products and business solutions with the latest technologies and techniques for clients across the world. Truly battle-tested technologies: Interactive and modern web development using MEAN, MERN, LAMP, Python, RoR, and .Net Stack. Stellar mobile app development with iOS, Android, and hybrid technologies like Appcelerator, Xamarin and React Native. A high-functioning and high-caliber team: Starting small with a team of 5 but thinking big, PureLogics today is a 400+ strong team of experts that you can count on. Highly skilled at what they do, our technical staff picks just the right tools to ensure the success of your projectRead More

  • dollar

    $25-49/hr

  • user

    250 to 499

  • calender

    2006

  • location

    United States (USA)

Leading software development company. With over 17 years of market experience. Present in 20 countries. Our development team drives excellence, ensuring we deliver exactly what your business needs. Trusted by Fortune 500 giants like Intel, Luxottica, Jaguar Land Rover, and Guinness, bold mid-sized companies, and ambitious startups. The Company’s services portfolio offers strategic Mobile App development, Web Development, Custom Software development, IT consulting, CX design, development, and full lifecycle management of custom software products and applications, and system integration. Whether it is a consumer-oriented app or a transformative enterprise-class solution, the company leads the process from ideation and concept to delivery and provides ongoing support through its IS360 framRead More

  • dollar

    $50-99/hr

  • user

    100 to 249

  • calender

    2007

  • location

    United States (USA)

Captus Technologies is a leading Software and Web Development Company in India. Our highly skilled dedicated coders build high-performance software and Web applications using latest technologies.

  • dollar

    $25-49/hr

  • user

    10 to 49

  • calender

    2012

  • location

    United States (USA)

As a software development company with 20+ years in the field, Vention provides innovative services to startups and large enterprises. We tackle projects of any complexity and size, delivering outstanding solutions that help clients focus on business expansion and new opportunities.

  • dollar

    $50-99/hr

  • user

    1,000 to 9,999

  • calender

    2002

  • location

    United States (USA)

Synergy IT Solutions offers various IT services, including managed IT services, cloud solutions, infrastructure solutions, support services, and business solutions. We also provide security services covering cloud security, network security, managed security, and risk management. Additionally, we offer development services for e-commerce, custom business applications, website solutions, and mobile applications. You can visit our website for more detailed information.

  • dollar

    N/A

  • user

    250 to 499

  • calender

    1992

  • location

    United States (USA)

Frequently Asked Questions

Machine Learning is a subset of Artificial Intelligence that focuses on creating algorithms and statistical models that enable computer systems to improve their performance on a specific task through experience, without being explicitly programmed. It's a key component of AI that allows systems to learn from data and make predictions or decisions.

Machine Learning can provide more adaptive and intelligent solutions compared to traditional software. It can analyze large amounts of data to identify patterns and make predictions, automate complex tasks, personalize user experiences, and continuously improve its performance over time. This can lead to increased efficiency, better decision-making, and new insights for your business.

The main types of Machine Learning are supervised learning, unsupervised learning, and reinforcement learning. Supervised learning uses labeled data to train models, unsupervised learning finds patterns in unlabeled data, and reinforcement learning trains models through a reward-based system. Each type is suited for different kinds of problems and datasets.

Machine Learning has diverse applications across industries. In healthcare, it's used for disease prediction and medical image analysis. In finance, it's applied for fraud detection and algorithmic trading. In retail, it enables personalized recommendations and demand forecasting. Other applications include autonomous vehicles, natural language processing, and predictive maintenance in manufacturing.

Some challenges include the need for large amounts of quality data, potential bias in algorithms, the "black box" nature of some models making decisions difficult to interpret, high computational requirements, and the need for skilled professionals. Additionally, there may be privacy concerns when dealing with sensitive data.

Machine Learning is a broader field that includes various algorithms and statistical methods. Deep Learning is a subset of Machine Learning that uses artificial neural networks with multiple layers (deep neural networks) to model and process complex patterns in data. Deep Learning is particularly effective for tasks like image and speech recognition but often requires more data and computational resources than other Machine Learning methods.

Implementing Machine Learning solutions typically requires a mix of skills including programming (often in languages like Python or R), statistics and mathematics, data analysis, and domain-specific knowledge. Familiarity with Machine Learning algorithms, data preprocessing techniques, and tools like TensorFlow or scikit-learn is also important. Additionally, skills in data visualization and communication are valuable for presenting results to non-technical stakeholders.

Companies new to Machine Learning can start by identifying specific business problems that could benefit from data-driven solutions. They can then explore available datasets, consider hiring or training staff in Machine Learning, or partnering with specialized consultants or service providers. Starting with small, well-defined projects can help build experience and demonstrate value before scaling to larger initiatives.

Ethical considerations in Machine Learning include ensuring data privacy and security, addressing potential biases in training data or algorithms, maintaining transparency in decision-making processes, and considering the societal impact of automated systems. It's important to have clear governance structures and to regularly audit Machine Learning systems for fairness and accuracy.

The cost of Machine Learning solutions can vary widely depending on the complexity of the problem, the amount of data involved, and the required infrastructure. While initial costs may be higher due to the need for specialized skills and potentially more powerful hardware, Machine Learning solutions can often provide long-term cost savings through increased efficiency and automation. However, ongoing costs for data management, model updating, and maintenance should also be considered.