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Top Machine Learning Companies in United Kingdom (UK)


6 Companies

profile

DataPeno LTD

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Who We Are? DataPeno LTD is a UK company that is built by a team of technical and business brains how has a vast and variant experience around business and technology. DataPeno LTD was established at 2020. Yes it is a young company, but it’s not about the age of the company; it’s about the experience that we have it at the core of the company, that is our team. What We Do? As we are living in the cloud era where most of what you need is already there in the cloud, there is no need for an on-premise infrastructure (Unless for sure if you had a specific policies that prevents you from going totally cloud then we can divide it for you as a Hybrid-Cloud solution) removing all the maintainability headache. That’s where we come with our services as we provide you with all that your business neeRead More

  • dollar

    N/A

  • user

    1 to 9

  • calender

    0

  • location

    United Kingdom (UK)

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Quytech

No Reviews

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 Kingdom (UK)

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Rootquotient

No Reviews

Rootquotient is a leading product engineering company with a global presence across Canada, the UK, and India. With a strong focus on custom software development, Rootquotient has gained recognition for its exceptional product engineering and management capabilities. The company caters to diverse industries, including Healthcare, Education, Retail, Fintech, Non-profit, & Energy, by designing and building bespoke software products. They take pride in being a ‘Zero-to-One’ company, approaching every client’s needs to be unique and developing custom software solutions from scratch. By embracing the latest technology, they empower their clients to become industry leaders and act as their long-term technology partner. Rootquotient's mission revolves around transforming businesses with custom Read More

  • dollar

    $50-99/hr

  • user

    100 to 249

  • calender

    2019

  • location

    United Kingdom (UK)

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Systango Technologies Ltd

No Reviews

Systango is a software development studio specialising in niche technologies and helping clients unleash the power of next-gen technologies such as Generative AI, Blockchain, Web3, and Machine Learning. We are a digital transformation partner with leading digital, cloud-native, and security capabilities to help you build a better version of your business. Company facts: * ​100+ active client accounts * 500+ end-to-end projects delivered​​ * In business since 2007 * 350+ employees * ISO 27001:2013 Certified * Headquartered in London, UK with offices in Virginia (USA), Indore (India). * Top Clients - Porsche, MGM Grand, Deloitte, Grindr, Tawk.to, Target. We believe in automation, apps that are fast, efficient, attractive, and easy-to-use to unlock the next stage of digitalisation for tradiRead More

  • dollar

    $25-49/hr

  • user

    250 to 499

  • calender

    2007

  • location

    United Kingdom (UK)

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Aptagon Technologies

No Reviews

At Aptagon Technologies, we firmly believe in harnessing the power of innovative technologies to deliver unparalleled services to our clients. As a leading software agency, we are at the forefront of transforming the digital landscape. Established in 2020, Aptagon Technologies has swiftly risen from a humble start-up to a reputable company with a global presence. With offices in Pakistan, the United Kingdom, and the United States, we have earned the trust of a diverse clientele spanning across the globe. Our Vision: Our vision is centered around making people's lives easier by providing them with digital solutions that address their challenges. We are dedicated to transforming your ideas into tangible digital products.

  • dollar

    $25-49/hr

  • user

    10 to 49

  • calender

    2020

  • location

    United Kingdom (UK)

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SYHTEK SOFTWARE SOLUTIONS

No Reviews

syhtek software solutions is a trusted digital partner delivering high-impact software, web and mobile app solutions tailored to your business needs. We specialize in crafting scalable, secure and performance-driven digital products that help startups and enterprises stay ahead in today’s fast-moving digital landscape. With expertise spanning software development, web design, mobile app development, e-commerce, AI computing, cloud migration, CRM systems and API integrations, our team delivers technology solutions that solve real business challenges. From initial strategy to final deployment, we work closely with clients across the UK, USA and Europe offering a perfect blend of technical excellence, innovation and reliable delivery. Our solutions are built to streamline operations, enRead More

  • dollar

    $50-99/hr

  • user

    10 to 49

  • calender

    2014

  • location

    United Kingdom (UK)

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.

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