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&Element

Machine Learning

Transform your business with cutting-edge machine learning solutions from &Element. Our dedicated team of machine learning developers use complex algorithms and data-driven insights to innovate and solve challenges across industries. Elevate your operations, customer service, and product offerings with precision and efficiency.

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We’ve helped hundreds of businesses digitally optimise their company and increase profits.

Our core services

UX DesignWeb DevelopmentApp DevelopmentDigital MarketingArtificial Intelligence

230% average increase in ROI across our suite of services.


235+ projects completed since we were founded in 2015.


45m people reached across the world through work.

What is machine learning?

Machine learning is a subset of artificial intelligence (AI) that allows systems to learn from experience and improve automatically without being explicitly programmed. This field focuses on developing computer programs that can access data and use it to learn for themselves.

The learning process begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples we provide. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.

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What does a machine learning developer do?

A machine learning developer specialises in creating algorithms and statistical models computers use to perform specific tasks without explicit instructions. This role is critical in numerous fields, such as finance for credit scoring, healthcare for predictive diagnostics, marketing for customer insights, and more, where making data-driven decisions is crucial for success.

A machine learning developer works with a variety of programming languages like Python, R, and Scala, and they utilise libraries such as TensorFlow, PyTorch, and Scikit-learn to build models that can analyse complex data sets to predict outcomes and automate decision-making processes.

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How can machine learning benefit your business?

Hiring a machine learning developer can significantly benefit your business by optimising and automating decision-making processes, enhancing predictive accuracy, and driving innovation. For example, in the financial sector, machine learning models can assess credit risk more accurately than traditional methods.

In marketing, these models can analyse consumer data to tailor marketing strategies that significantly boost conversion rates. Moreover, machine learning can streamline supply chain logistics by predicting demand spikes, ensuring better stock management. All this potential makes a machine learning developer a valuable asset to any forward-thinking business looking to capitalise on the latest trends in artificial intelligence. 

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There is so much opportunity to increase your business sales, start your journey today.

Contact us

50%

Machine learning can reduce supply chain forecasting errors by up to 50%

Cost Reduction

10%

Businesses implementing machine learning observe a 10% increase in sales through more accurate stock and customer demand predictions

Increased Sales

90%

of businesses reported faster complaint resolution

Customer Satisfaction

50%

Machine learning improves the detection of fraudulent transactions by up to 50%

Fraud Detection

40%

AI and ML technologies are projected to increase business productivity by up to 40%

Operation Efficiency

20%

Companies using machine learning for human resources have seen employee engagement increase by 20%

Employee Productivity

Our machine learning development process


01

Planning

Initially we plan a consultation. We discuss the expectations for the project setting up a realising timeline and budget for the goal.


02

Data Preparation

This step may involve setting up data collection mechanisms, ensuring data quality, and preparing datasets for analysis. We also perform initial investigations on the data to discover patterns, spot anomalies, test hypotheses, and check assumptions using statistical summaries and graphical representations.


03

Development

Next, we transform raw data into features that better represent the underlying problem to the predictive models we choose appropriate machine learning algorithms based on the problem type (e.g., regression, classification) and train multiple models to find the best performer.


04

Model Evaluation

We evaluate the model's performance using appropriate cross-validation techniques to ensure the model generalises well to new data.


05

Deployment

Finally, we deploy the machine learning model into a production environment where it can start making predictions or decisions based on new data. We continuously monitor the model's performance to catch any degradation over time.


Want to get a tailored process to your specific needs? Contact us now

Our AI development Insights

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University of Suffolk

Ruth Patron

Centre Manager

&Element created us an immersive brand and brand strategy for Entrepreneurs Forge. The team worked with us through many research rounds to delivery exactly what we wanted.

Cochrane Associates

Dr. Peter Cochrane OBE

Ex-CTO of BT

&Element created us an immersive brand and brand strategy for Entrepreneurs Forge. The team worked with us through many research rounds to delivery exactly what we wanted.

Arma Karma

Ben Smyth

CEO

&Element created us an immersive brand and brand strategy for Entrepreneurs Forge. The team worked with us through many research rounds to delivery exactly what we wanted.

Ballen Studios

Christopher Luich

Head of Operations

&Element created us an immersive brand and brand strategy for Entrepreneurs Forge. The team worked with us through many research rounds to delivery exactly what we wanted.

Ministry of Defence

Sarah Eshelby

Employability Officer

&Element created us an immersive brand and brand strategy for Entrepreneurs Forge. The team worked with us through many research rounds to delivery exactly what we wanted.

Maekersuite

Stephanie Demetriou

Co-Founder

&Element created us an immersive brand and brand strategy for Entrepreneurs Forge. The team worked with us through many research rounds to delivery exactly what we wanted.

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Web Development FAQs


Machine learning is a branch of artificial intelligence (AI) that focuses on building applications that learn from data and improve their accuracy over time without being programmed to do so. It involves developing algorithms that can process large sets of data and perform tasks such as predictions, recommendations, and decision making.

01


A machine learning developer designs, builds, and implements machine learning applications according to specific business needs. They are responsible for collecting data, developing and training machine learning models, fine-tuning their performance, and deploying them to production where they can automatically make data-driven decisions.

02


Machine learning can enhance business operations in several ways, including automating routine tasks, improving customer experience, increasing operational efficiency, and providing insights that help make strategic decisions. It benefits customer segmentation, fraud detection, demand forecasting, and resource optimisation.

03


While almost all industries can benefit from machine learning, the most impacted sectors include finance, healthcare, retail, manufacturing, and transportation. In finance, ML is used for algorithmic trading and risk management; in healthcare, for predictive diagnostics; in retail, for personalised customer experiences; and in manufacturing, for predictive maintenance.

04


The timeline can vary greatly depending on the complexity of the problem, the amount of data to be processed, and the specific requirements of the project. Generally, a machine learning project can take from a few weeks to several months.

05


Machine learning developers typically use programming languages like Python and R, along with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. They also utilise various data processing frameworks and platforms like Apache Spark and Hadoop.

06


The data required for machine learning depends on the specific objectives of the project but generally includes a large set of historical data points from which the algorithms can learn. The quality, completeness, and variety of data are crucial factors that affect the outcome of the learning process.

07


Yes, machine learning models can often be integrated with existing IT infrastructure using APIs or middleware. This integration allows businesses to enhance their existing systems with intelligent features such as predictive analytics and automated decision-making.

08


The cost of hiring a machine learning developer varies based on the complexity of the project and the expertise of the developer. If you wish to know more about our pricing we encourage you to contact us.

09


Book a free consultation

We offer a free review of your digital presence to understand your problems and build a strategy to make you succeed online.