If you are interested in Building an AI Solution, where you will develop and maintain data pipelines, machine learning solutions and produce bespoke analytics reports and dashboards using/creating data access
DurationIf you are interested in Building an AI Solution, where you will develop and maintain data pipelines, machine learning solutions and produce bespoke analytics reports and dashboards using/creating data access and cloud computing ecosystems then you should apply here for our 2 day Intermediate Machine Learning Course.
Machine learning algorithms have been powering the world around us, and this includes product recommendations at Walmart, fraud detection at various top-notch financial institutions, surge pricing at Uber, as well as content used by LinkedIn, Facebook, Instagram, and Twitter on users’ feeds, and these are just a few examples, grounded directly in the daily lives we live.
Machine learning covers significant ground in various verticals – including image recognition, medicine, cyber security, facial recognition, and more. As an increasing amount of businesses are realising that business intelligence is profoundly impacted by machine learning, and thus are choosing to invest in it.
The course covers:
Introduction to Data Science and R Programming
Intermediate skills in R Programming and Data Science.
Quantitative Skills course in Machine Learning, Statistics and Data Science.
The Fourth Industrial Revolution Incubation (‘4IRI”) was started in early 2018 on the back of an opportunity to develop capability and capacity in the digital learning industry. It is dedicated to the development of innovative ecosystems of a city by creating favourable conditions for localisation of high-tech companies.
Key to enabling the jobs of the future, is the talent and learning programmes to teach new, relevant and critical skills that will enable the workforce to adapt to the fourth industrial revolution work environment. 4IRI has set out to enable 20 businesses in Digital Learning and ICT verticles.
Incubator Statement
We provide key talent with an enabling ecosystem and the opportunity to start up and develop new SME business. To drive economic growth opportunities in priority sectors as enabled by the 4th Industrial revolution.
Vision
To be the leading incubation ecosystem, developing future talent and SME’s to tackle an ever-disruptive future.
Mission
To create an enabling and preferred ecosystem for the commercialization of disruptive technologies that are locally applicable and globally relevant.
Values
Respect, Quality, can-do attitude, Growth Mindset, Love what we do.
Upon completion of the Machine Learning course, learners will be an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming.
Machine Learning Architects are responsible for the end-to-end design and deployment of machine learning solutions, ensuring they are scalable, maintainable, and aligned with business goals.
Machine learning is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed for specific tasks.
Machine Learning combines computer science and statistics to analyse raw real-time data, identify trends, and make predictions. The participants will explore key techniques and tools to build Machine Learning solutions for businesses.
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