Machine Learning-Only course that dominates the future.
NO DOUBT,Today's world is developing faster than ever.
The skills required to survive in
the modern word is completely changing.
People are adopting new strategies to
get hired in multi national companies like google,Facebook,IBM,Apple and so on.
But the task of those persons who get
hired are completely changing due
to the advancement in technology
and newly entering artificial intelligence injecting into the machines.
Machines are becoming so powerful that they can handle all the complicated tasks that human can only
be able to do with ease.
Many scientist have discovered a lot of machines in order increase the productivity with decrease in human power resource.
Some scientists and mathematicians thought why don't machines can capable of handling intelligent thinking tasks which are performed by only humans in order to decrease the burden of human brain.
A lot more techniques were discovered that machines can capable of performing intelligent and logical
tasks and embedded into these machines.
As a reslt calculater based on abacus principles was invented.
AS an advancement to this calculator,
computer were invented by creating logic gates from transistor which could perform many arithmetic and logical calculations.
Finally we are in a stage were many cpu,gpu,hard disks were invented which are an integral part of computer can able to handle and calculate and store billions of logical operations with in a second.
As a result of this we can able to design many of the software which utilizes this hardware and can do the tasks which are beyond of or expectations.
Now we are in the stage were machine can able to handle human physical tasks and some of humans critical logical tasks.
The computer hardware are becoming cheaper and the comptational power of the compter even increasing now-a-days.
The modern applications which utilizes this computational power are becoming so powerful that these applications can handle all known problems such as advanced mathematics
and physical science problems and even some of the real world problems.
The demand for software in terms of better algorithms that can able to perform real world problems are increasing rapidly.
That is the machine that can able to learn itself by just providing sufficient data and training a little.
Many computer courses were evolved in order to understand fully How computers could able to performs amazing tasks.
MACHINE LEARNING IS THE ONE WHICH IS THE MOST PROMINENT OF ALL THE COURSES AVAILABLE IN COMPUTER(SCIENCE) FIELD.
MACHINE LEARNING HAS ITS OWN ABILITIES WHICH ROOTS ARE PENETRATED DEEPER INTO OTHER COMPUTER FIELDS AND ALSO MANY FIELDS ARE DERIVED FROM THIS MAIN BRANCH.
Machine learning is all about making computers perform certain tasks by providing data and training about the task so that computers can able to expertise on their own.
These machines learn and expertise those tasks by
1.supervised learning
2.unsupervised learning
3.reinforcement learning
4.active learning
5.Semi supervised
6.trial and error
all the methods can able to make computer expertise in those tasks and could able to perform better than humans once they form enough patterns and logics regarding those tasks.
The main topics that are discussed in machine learning course are.
1.Bayesian decision theory
2.multi layer perceptrons
3.kernel topics.
4.all graphical and markov models for better understanding.
5.parametric,mutivarite,clustering methods
6.Many decision trees
7.structured prediction
8.neural nets
so on
Machine learning algorithms can be used in many applications such as deep learning algorithms,neural networks,artificial intelligence,web data mining algorithms and even in robotics.
This machine learning has vast diversity and these machine learning uses even probabilistic,statistical methods.
The demand for algorithms based on machine learning has ever increased.
Which the use of these machine learning techniques we can able to create algorithms that can program computers on its own.
Machine learning is based on approximation,probability and trial and error methods.
Various uses of this machine learning are
1.in the detection of spam emails and filter those explicit mails.
2.in those self driving carss and vehicles.
3.in games such as chess which requires high logical thinking.
4.in facial and pattern recognition to unlock mobiles and devices.
5.in business and shopping malls in order to find patterns of costumer visit,opinions about specific product so that the data analyst may analyse those patterns and able able to maximize their sales.
6.in industries ,where people train robots which can able perform specific tasks within industry after gaining enough expertise.
7.To build powerful applications in software field that could solve almost
all computational problems.
computers can acquire ability to perform critical tasks without being explicitly programmed by using this machine learning techniques.
Even artifical intelligence system ses machine learning techniques.
machines serve humanity in more elegant by applying techniques of machine learning and algorithms.
The techniques such as
1.logistic regression using logistic function.
2.bayes classification using bayes probablity theorm
3.decision tree using graphs,flow chart
4.linear regression using statistics
5.vector machines
6.stochastic methods
contribute to improving machine learning in various aspects and applications.
The future of various fields advancement lies in developent of machine learning algorithms.
Advancement in speech recognition and language translation is due to better algorithms that are being discovered in machine learning.
Almost 50% of all the fields are directly or indirectly influenced by machine learning.
Improvement in areas such as
1.government sector.
2.transportation.
3.oil and gas industries.
4.automated device manufacturing industries
5.public health centers such as hospitals
due to utilization of this machine learning techniques.
Companies such as google ,facebook,yahoo,microsoft are using extensively this machine learning algorithms in almost all their services and products.
Internet of things and self automated vehicles are using this algorithemic techniques.
1.Prediction
2.extrction
3.classification.
4.regression
are techniques followed in machine learning.
So i hope you got some knowledge about machine learning by reading this article.
thank you.
NO DOUBT,Today's world is developing faster than ever.
The skills required to survive in
the modern word is completely changing.
People are adopting new strategies to
get hired in multi national companies like google,Facebook,IBM,Apple and so on.
But the task of those persons who get
hired are completely changing due
to the advancement in technology
and newly entering artificial intelligence injecting into the machines.
Machines are becoming so powerful that they can handle all the complicated tasks that human can only
be able to do with ease.
Many scientist have discovered a lot of machines in order increase the productivity with decrease in human power resource.
Some scientists and mathematicians thought why don't machines can capable of handling intelligent thinking tasks which are performed by only humans in order to decrease the burden of human brain.
A lot more techniques were discovered that machines can capable of performing intelligent and logical
tasks and embedded into these machines.
As a reslt calculater based on abacus principles was invented.
AS an advancement to this calculator,
computer were invented by creating logic gates from transistor which could perform many arithmetic and logical calculations.
Finally we are in a stage were many cpu,gpu,hard disks were invented which are an integral part of computer can able to handle and calculate and store billions of logical operations with in a second.
As a result of this we can able to design many of the software which utilizes this hardware and can do the tasks which are beyond of or expectations.
Now we are in the stage were machine can able to handle human physical tasks and some of humans critical logical tasks.
The computer hardware are becoming cheaper and the comptational power of the compter even increasing now-a-days.
The modern applications which utilizes this computational power are becoming so powerful that these applications can handle all known problems such as advanced mathematics
and physical science problems and even some of the real world problems.
The demand for software in terms of better algorithms that can able to perform real world problems are increasing rapidly.
That is the machine that can able to learn itself by just providing sufficient data and training a little.
Many computer courses were evolved in order to understand fully How computers could able to performs amazing tasks.
MACHINE LEARNING IS THE ONE WHICH IS THE MOST PROMINENT OF ALL THE COURSES AVAILABLE IN COMPUTER(SCIENCE) FIELD.
MACHINE LEARNING HAS ITS OWN ABILITIES WHICH ROOTS ARE PENETRATED DEEPER INTO OTHER COMPUTER FIELDS AND ALSO MANY FIELDS ARE DERIVED FROM THIS MAIN BRANCH.
Machine learning is all about making computers perform certain tasks by providing data and training about the task so that computers can able to expertise on their own.
These machines learn and expertise those tasks by
1.supervised learning
2.unsupervised learning
3.reinforcement learning
4.active learning
5.Semi supervised
6.trial and error
all the methods can able to make computer expertise in those tasks and could able to perform better than humans once they form enough patterns and logics regarding those tasks.
The main topics that are discussed in machine learning course are.
1.Bayesian decision theory
2.multi layer perceptrons
3.kernel topics.
4.all graphical and markov models for better understanding.
5.parametric,mutivarite,clustering methods
6.Many decision trees
7.structured prediction
8.neural nets
so on
Machine learning algorithms can be used in many applications such as deep learning algorithms,neural networks,artificial intelligence,web data mining algorithms and even in robotics.
This machine learning has vast diversity and these machine learning uses even probabilistic,statistical methods.
The demand for algorithms based on machine learning has ever increased.
Which the use of these machine learning techniques we can able to create algorithms that can program computers on its own.
Machine learning is based on approximation,probability and trial and error methods.
Various uses of this machine learning are
1.in the detection of spam emails and filter those explicit mails.
2.in those self driving carss and vehicles.
3.in games such as chess which requires high logical thinking.
4.in facial and pattern recognition to unlock mobiles and devices.
5.in business and shopping malls in order to find patterns of costumer visit,opinions about specific product so that the data analyst may analyse those patterns and able able to maximize their sales.
6.in industries ,where people train robots which can able perform specific tasks within industry after gaining enough expertise.
7.To build powerful applications in software field that could solve almost
all computational problems.
computers can acquire ability to perform critical tasks without being explicitly programmed by using this machine learning techniques.
Even artifical intelligence system ses machine learning techniques.
machines serve humanity in more elegant by applying techniques of machine learning and algorithms.
The techniques such as
1.logistic regression using logistic function.
2.bayes classification using bayes probablity theorm
3.decision tree using graphs,flow chart
4.linear regression using statistics
5.vector machines
6.stochastic methods
contribute to improving machine learning in various aspects and applications.
The future of various fields advancement lies in developent of machine learning algorithms.
Advancement in speech recognition and language translation is due to better algorithms that are being discovered in machine learning.
Almost 50% of all the fields are directly or indirectly influenced by machine learning.
Improvement in areas such as
1.government sector.
2.transportation.
3.oil and gas industries.
4.automated device manufacturing industries
5.public health centers such as hospitals
due to utilization of this machine learning techniques.
Companies such as google ,facebook,yahoo,microsoft are using extensively this machine learning algorithms in almost all their services and products.
Internet of things and self automated vehicles are using this algorithemic techniques.
1.Prediction
2.extrction
3.classification.
4.regression
are techniques followed in machine learning.
So i hope you got some knowledge about machine learning by reading this article.
thank you.
