Things that you should know about Machine learning - Science Plus Tech

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Things that you should know about Machine learning

Machine learning,
Recently has become a common term which is being used everywhere in the tech world so what exactly it means? does it mean machines have finally got a brain? can we do any task with the help of Machine learning capabilities of modern smart devices?
Machine learning AI
The simple definition of Machine learning is a method of data analysis used by the machine to learn and make a decision without the intervention of humans, its a part of AI artificial intelligence machine learning is not completely a new term but previously it wasn't as powerful as it is today the reason is "DATA" as technology have evolved a lot in last 3 decades machine learning too have evolved from working on simple algorithm to complex mathematical problems at present.
machine learning introduction
If you try to see the simplest machine algorithm it's given below,
Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or approximate gradient) of the function at the current point. If instead, one takes steps proportional to the positive of the gradient, one approaches a local maximum of that function; the procedure is then known as gradient ascent.
Gradient descent is also known as steepest descent. However, gradient descent should not be confused with the method of steepest descent for approximating integrals.
Machine learning is one of the main application of artificial intelligence (AI) that gives systems the power to automatically learn and improve from experience without implementing explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for self and improve a bit.
The basic purpose of machine learning is to allow computers to learn automatically without human intervention or support and modify steps or decisions accordingly.
So the process of learning at a very beginning stage starts with observations or data, and to look for patterns in data and make better choices in the eventuality based on the examples that we previously provided. 
Machine learning algorithms are used in a broad variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.
Machine learning is closely related to computational statistics, which concentrates on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning and focuses on exploratory data analysis through unsupervised learning.In its application across business problems, machine learning is also referred to as predictive analytics.
machine learning introduction artificial Intelligence

artificial Intelligence machine learning introductio
The digital information eruption has resulted in the collection of massive amounts of data, especially by large organizations such as Facebook and Google. which is now being used by the same brands to direct small and large business directly to its potential customers and this is possible due to ML which has made both consumers and brands happy, you don't believe me the see small example the advertisement for each individual is different on same visited website this is just because the Advertisement provider is already aware of your interest with the help of your device info, browser history, and any other data that it can have access to.
The digital information eruption has resulted in the collection of massive amounts of data, especially by large organizations such as Facebook and Google. which is now being used by the same brands to direct small and large business directly to its potential customers and this is possible due to ML which has made both consumers and brands happy, you don't believe me the see small example the advertisement for each individual is different on same visited website this is just because the Advertisement provider is already aware of your interest with the help of your device info, browser history, and any other data that it can have access to.
Does it have any limitations?
Yes, it does, few that are critical are mentioned below,
Data, yes as previously we said ample amount of data is being generated but the quality of data might not be good enough for it to interpret.which results in wrong decision. for example will it rain tomorrow or not can be determined with the help of multiple data available through different climate and atmospheric sensors but still it might not be enough to predict exactly what might happen.
Interpretability, In mathematical logic, interpretability is a relation between formal theories that expresses the possibility of interpreting or translating one into the other.
Misapplication.
best definition of machine learning

best definition of machine learning

best definition of machine learning
Yes, Machine learning has given brain to the machine but still, it's having limitations which are really critical, still, a lot of research is needed and a lot of quality data sources is required in this field so as one day we could see self-driving cars a successful reality.

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