{"id":665,"date":"2020-04-12T05:24:05","date_gmt":"2020-04-12T05:24:05","guid":{"rendered":"http:\/\/www.ucssolutions.com\/blog\/?p=665"},"modified":"2022-09-16T06:22:02","modified_gmt":"2022-09-16T06:22:02","slug":"machine-learning-development-process","status":"publish","type":"post","link":"https:\/\/www.ucssolutions.com\/blog\/machine-learning-development-process\/","title":{"rendered":"Machine Learning Development Process"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

You may have not realised it yet but you have been taking advantage of the benefits of machine learning for the past few years! A lot of us find would find it hard to go a full day without using an app or website that does not use machine learning for one of its activities!<\/p>\n\n\n\n

Just take a look at some of the examples below,<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Market leaders are applying machine learning in all\nimaginable and improbable ways.<\/p>\n\n\n\n

Though machine learning is a term that has become common in use by many of us, we still don\u2019t know its true potential and benefits. <\/p>\n\n\n\n

So what is\nmachine learning?<\/strong><\/p>\n\n\n\n

Machine learning is a branch of artificial intelligence (AI)\nwhich can be trained with the help of data to keep learning, identify patterns\nand make decisions with minimal human intervention. <\/p>\n\n\n\n

With the help of machine learning, complex data can be\nquickly and automatically analysed to deliver accurate results on a large\nscale. The precision of machine learning provides organisations with the chance\nto identify and explore various opportunities or avoid previously unknown\nrisks.  <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Unique Computer Systems<\/a> has started working on cognitive technology to let companies create algorithms and machines that understand humans, assist them in the automation of business processes and tasks.<\/p>\n\n\n\n

In this article, a workflow will be discussed to highlight\nthe main steps involved in developing a machine learning process.<\/p>\n\n\n\n

Initial\nDiscussion <\/strong><\/p>\n\n\n\n

At the start of a project, we discuss how we can help you\ndevelop your AI capabilities and if we are the right fit for you in terms of\nfeasibility, geography and costs. <\/p>\n\n\n\n

Scoping and\nHigh-Level Architecture<\/strong><\/p>\n\n\n\n

The next step involves recognising and understand the\nproblems or issues you are facing, developing the requirements and deriving the\nnecessary accuracy, performance and machine learning output actions. After\nthis, we evaluate the feasibility of solving the issue using machine learning\nwhile also considering if a simpler more conventional solution might suffice.\nThen we design the required architecture needed for gathering the data. <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Gathering\nData <\/strong><\/p>\n\n\n\n

The data gathering step depends on the type of project. The\ndata set can be collected from multiple sources such as a file or database. We\ncan also use free data sets which are present on the internet like Kaggle <\/a>and UCI Machine learning Repository<\/a>. These are the\nrepositories that are used to make machine learning models.<\/p>\n\n\n\n

After the data has been collected it has to be cleaned and\norganised which may take days or weeks depending on the quantity.<\/p>\n\n\n\n

Data gathering comprises of two steps: <\/strong><\/p>\n\n\n\n

1.Data collection<\/strong> – Web-scraping, database mining as mentioned above.<\/p>\n\n\n\n

2<\/strong>.Data cleaning<\/strong> – identifying the incorrect, incomplete, inaccurate, irrelevant or missing part of the data and then modifying, replacing or deleting them according to the necessity. A higher amount of time would be spent on unstructured data (For example with images- you might have few blurry images).<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Machine\nLearning to Create Models<\/strong><\/p>\n\n\n\n

Many experiments have to be run to develop and enhance the\nmachine learning model. Many variations of the data, techniques of machine\nlearning and parameters have to be tested to get the output of a machine\nlearning model. This task could take several days or weeks depending on the\ncomplexity and size of the data.<\/p>\n\n\n\n

Production<\/strong><\/p>\n\n\n\n

The same method used to collect data will be used to make an\ninference on real-time data to implement actions based on the output of the\nmachine learning model. <\/p>\n\n\n\n

Who uses\nmachine learning?<\/strong><\/p>\n\n\n\n

Industries dealing with a large amount of data have\nrecognised the value of machine learning technology. Machine learning has\nenabled many organisations and industries to work more efficiently and even\ngain a competitive advantage.<\/p>\n\n\n\n

Financial Services\nand Government Agencies<\/strong><\/p>\n\n\n\n

Organisations in these industries employ the use of machine\nlearning technology to identify important insights or trends in the data,\ndetect fraud and minimise identity theft. <\/p>\n\n\n\n

Retail<\/strong><\/p>\n\n\n\n

A lot of retailers depend on machine learning to capture\ndata about their customers to analyse it. This is used to personalise the\ncustomer\u2019s shopping experience, analyse their buying patterns, plan marketing\ncampaigns, organise merchandise supply and gain customer insights. <\/p>\n\n\n\n

Machine learning is used in the retail industry to scan\nreceipts which helps build loyalty programs to reward their existing customers\nand attract potential customers by utilizing the in-house powered image\nprocessing engine to scan their customer\u2019s receipts which comes with automatic\nbrand detection.<\/p>\n\n\n\n

This lessens the burden on the data entry team without\nhindering the loyalty program’s success<\/p>\n\n\n\n

Healthcare<\/strong><\/p>\n\n\n\n

With the recent growing trend of wearable technology, machine learning has become a fast-growing trend in the healthcare industry. This technology is used to identify trends and analyse data collected from patients. <\/p>\n\n\n\n

Get Started<\/strong><\/p>\n\n\n\n

To get the most out of machine learning it is imperative to\nknow which algorithms and data to pair with which tools and processes. At\nUnique Computer Systems we use a combination of statistics, data mining and new\narchitectural advances to ensure your machine learning models run efficiently\nand quickly even in a huge enterprise environment. <\/p>\n\n\n\n

\n
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For more information or to set up a demo please<\/p>\nContact Us<\/a>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

You may have not realised it yet but you have been taking advantage of the benefits of machine learning for the past few years! A lot of us find would find it hard to go a full day without using an app or website that does not use machine learning for one of its activities! 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