Machine Learning is a sub field of computer science and statistics that deals with systems that can learn from data, instead of follow explicitly programmed instructions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches.
Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records.
Internet of Things
Much of today’s interaction with connected technology happens through passive engagement. IoT introduces a new paradigm for active content, product or service engagement. IoT (Internet of Things) is an advanced automation and analytics system which exploits networking, sensing, big data, and artificial intelligence technology to deliver complete systems for a product or service. These systems allow greater transparency, control, and performance when applied to any industry or system.
IoT systems have applications across industries through their unique flexibility and ability to be Suitable in any environment. They enhance data collection, automation,operations, and much more through smart devices and powerful enabling technology.
IoT systems allow users to achieve deeper automation, analysis, and integration within a system.They improve the reach of these areas and their accuracy. IoT utilizes existing and emerging technology for sensing, networking, and robotics.
IoT exploits recent advances in software, falling hardware prices, and modern attitudes towards technology. Its new and advanced elements bring major changes in the delivery of products,goods, and services and the social, economic, and political impact of those changes.
The most important features of IoT include artificial intelligence, connectivity, sensors and small device use.
IoT essentially makes virtually anything “smart”, meaning it enhances every aspect of life with the power of data collection, artificial intelligence algorithms, and networks.This can mean something as simple as enhancing your refrigerator and cabinets to detect when milk and your favorite cereal run low, and to then place an order with your preferred Grocer.
New enabling technologies for networking, and specifically IoT networking, mean networks are no longer exclusively tied to major providers. Networks can exist on a much smaller and cheaper scale while still being practical. IoT creates these small networks between its system devices.
IoT loses its distinction without sensors. They act as defining instruments which transform IoT from a standard passive network of devices into an active system capable of real-world integration.
Devices, as predicted, have become smaller, cheaper, and more powerful over time. IoT exploits purpose-built small devices to deliver its precision, scalability, and versatility.
Our goal in IoT is to deploy applications across all industries and markets and to span user groups from those who want to reduce energy use in their home to large organizations for streamlining their operations and finally we move towards the advanced automation imagined in the distant future.
The advantages of IoT span across every area of lifestyle and business. Here is a list of some of the advantages that IoT has to offer
- Design for passive use. IoT breaks it out of those spaces, and places it exactly.
- Improved Customer Engagement.
- Technology Optimization.
- Reduced Waste.
- Enhanced Data Collection – Modern data collection suffers from its limitations and its.
- Engineering, Industry, and Infrastructure.
- Manufacturing Applications.
- Health and Medicine.
- Media, Marketing, & Advertising.
- Environmental Monitoring.