Machine learning courses will remain relevant through the decades. A peek into the future.
The world we know of today has been significantly impacted by machines and computers. Data sources are ubiquitous and the volume of data available to organisations is growing at an exponential rate. What Machine Learning does to businesses and our lives remains irrevocably significant and its importance will reverberate not just in the coming years but across decades. Humans rely heavily on the aspects of machine learning to ensure a semblance of security and stability.
Let’s have a look at the reasons how machine learning will impact our lives and remain relevant through decades:
chatbots and Personalised Digital Assistants:
Digital personal assistants are just like house helps. Imagine coming home from work without worrying about the food, groceries, laundry, favourite desserts, or new cuisine on special days or getting requests answers on single voice command. Digital personal assistants and chatbots are getting smarter with time. Companies like Google and Amazon are investing billions to make chatbots and personal assistants better at speech recognition and understanding easy to complex day to day tasks.
Home Security and Smart Homes:
Since everyone is concerned about their home security a bit more nowadays, they look for AI-based camera securities and alarm systems. Such systems use facial recognition software, build a record of frequent visitor’s, and allow the systems to detect uninvited guests as soon as they enter the home premises.
Such AI-integrated software also provides reminder facilities, like when are you supposed to go for a walk, or at what time the kids are to be picked from the school. The news features of smart homes will also include calling for emergency needs when required.
AI algorithms and machine learning technologies will soon make convenient automation to smart homes and home management flawless.
AI-powered apps will allow smart-home owners to communicate with refrigerators and pantry robots. They would also be able to schedule cleaning through the sensor to appliance connections and command robotic cleaners to do their work.
Banking Innovations:
Almost everybody has a bank account on earth. Now, imagine how many hours it would take for bank employees to sieve transactions of every account holder each day. By the time they will notice any discrepancy, it would be too late.
AI and machine learning can help in identifying frauds by using location data and the pattern of purchases of the people. These models will be based on machine learning algorithms that can detect frauds, monitor transactions, and record discrepancies. In case of any suspicion based on transaction pattern, the user will be immediately informed. Before processing the payments, the banks may also confirm it with the concerned user about the purchase.
Enhanced Health Care:
The Healthcare sector is also on its way towards AI and machine learning breakthrough. Just like banks, it is hard to keep up with the data of patients and generate prescriptions with pen and paper daily. Currently, doctors estimate the risk based on the symptomatic history of the patients. With the help of AI and machine learning, doctors can diagnose the not easily diagnosed ailments and diseases by choosing a specific set of diagnoses.
Hospitals that use machine learning tools have reported fewer accidents in treating patients and any cases related to discrepancies. GPUs, high-performance computing tools are nowadays being used for diagnosing patients. These models provide real-time insights faster and accurately, helps in the development of new drugs, minimize diagnostic errors, and lower the healthcare costs for both patients and physicians.
Machine Learning course by SRM and LEARNXT
Machine Learning is in the process of revolutionising and cutting edge over others. Machine learning is currently the most promising approach to artificial intelligence. Since, machine learning and artificial intelligence are not, the nudge towards learning them is fresh.
Considering the popularity and thrust towards Machine Learning courses, SRM has unveiled LEARNXT. LEARNXT is a global digital learning brand that empowers people to achieve their dreams through accessible high quality education. Collaborating with LEARNXT, SRM University will offer various courses under the machine learning and AI-based umbrella such as MBA (Data Science) – Specialisations in Business Analytics & Machine Learning and Artificial Intelligence, – MSc (Applied Data Science), – PG Diploma (Applied Data Science), and – PG Diploma (Machine Learning and Artificial Intelligence).
SRM University will be offering these machine learning courses intending to master the students with artificial intelligence and machine learning principle concepts and applications through experiential learning. Along with the real life-like academic projects in the data science industry, the students will also get the opportunity to bag 2-3 month’s company-sponsored internships on real-time projects. LEARNXT also implements a proprietary scientific approach to career management. The career services approach includes career planning, resume building, social branding, mock interview training, job search and even help you identify first 90 day on-job goals.
In a world full of choices, there are a few differentiators that sets LEARNXT apart distinctively
- University accreditation
- Strong product portfolio
- Industry partner integration
- Curriculum, aligned with Certification bodies
- Technology specialist with domain understanding
- Job-focused learning path
- Recognised industry tools
Stay tuned to LEARNXT to know more about how machine learning courses will remain relevant through decades.
To know more, please click on, https://learnxt.com/home.php