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Machine Learning and Data Science are two emerging fields in 21st Century. Machine learning is a part of artificial intelligence that focuses on building options by processing the available data accurately. Machine learning is all about learning iteratively from data and finding the hidden insights that can be used to build applications. The basic goal and future of machine learning are helping people without the interventions of humans. This is only possible when you allow a machine to act like a human brain through supervised and unsupervised machine learning methods.
What is the role of mathematics in machine learning?
Machine learning applications are helpful to provide an insight value of the given data that helps for decision making business. The term machine learning revolves around implementing the algorithms and therefore it's important to improve your mathematical skills. In machine learning the predicted and uncertain data are eliminated. It also helps to improve the understanding level. So overall for mastering machine language you need to improve your mathematical concepts on matrix, geometry and probability statistics.
Mathematical topics that will help you make a career in machine learning.
1. Linear Algebra: Linear algebra mostly revolves around computation. It plays an integral role in deep learning techniques. Machine learning experts use this technique to build logistic regression, support vector machines and decision trees. Due to this reason, this topic is referred to as 21st century mathematics.
2. Probability: Probability in machine learning helps to predict the set of outcomes. It helps to give the conclusion. It is divided into parts where one is a joint probability and another is conditional probability. When each of the events is independent, joint probability takes the role. But if one event supersedes the other, it is called conditional probability.
3. Calculus: This is another mathematical term that drives the machine learning algorithm. Without any knowledge of calculus, it wouldn't be possible to predict the outcomes. Calculus helps to analyse the rate where the quantities change. In this integration, limits, differentiation are few more topics that play a great role in machine learning techniques.
4. Statistics: It is based on the qualitative and quantitative aspects of the algorithm. It helps to identify the goals and gather the collected data and observe them find out a precise outcome. Statistics in mathematics focuses on inferential statistics and descriptive statistics. Descriptive statistics helps to summarise and describe the data by using the terms such as mean, median, standard deviation, variation and mode. At the same time for large data set inferential statistics take a role. Some of the mathematical aspects like variance, hypothesis tests, sample distribution and others play a great role.
Fields where Machine Learning is Useful -
Machine learning plays an important role in a plethora of fields. Here are few examples where experts use machine learning:
1. Image recognition: Machine learning is helpful to detect face and handwriting. It creates different databases for different individuals that minimize the number of taps.
2. In the health sector field: Machine learning is also beneficial for those who are working in the healthcare field. Medical experts use this technique for faster medical diagnosis. With the help of artificial intelligence they can make an early diagnosis of disease. In this way the doctors suggest early diagnosis and preventive measures to save your life.
3. In the financial sector:
With the help of machine learning, big financial institutions like banks make the smartest choice. It helps in decision making so that investors, mergers and acquisitions can receive help.
Machine learning is a field that requires plenty of patience and practice. By considering the developments in technology and popularity in the industry, there is huge demand for machine learning experts. The average salary for any entry level expert is USD 686,000 / year. This quantity will increase once you get experience and skills.
To receive the potential of earning a high end salary, one should focus on the above discussed maths chapters. After qualifying the board exam, one can join the available courses on future of machine learning that would take approximately 6 months to 2 years to get mastery in the subject.
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Apart from teaching, one of our main objectives is to help the students build their career. Our career counsellors help the students choose the right career path.
When you are studying to be an engineer, you should also be focused on on-campus placement. Trends are shifting day by day, and recruiters are focusing on your personality and communication skills rather than marks. If you want to add a new goal to your life, then you should clear your placement in a single chance. To be a talented candidate, you should be streamlined, focused, and professional so that recruiters can be impressed by you.
Today we are going to share with you tips on how to impress recruiters.
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This video explains how to use the binomial theorem to expand binomial expressions using pascal's triangle and combinations. This video also shows you how to find the nth term and its coefficient using a simple formula / equation.
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A Linear Inequality is like a Linear Equation (such as y = 4x+1), but it will have an Inequality instead of an =.
In this video, Sanyukta will explain the Introduction Chapter 6 (Linear Inequalities) in detail, this video is for class 11 maths students preparing for CBSE, ICSE, State boards, JEE Mains and Advance or any other engineering entrance exam.
Linear programming is a branch of mathematics that uses systems of linear inequalities to solve real-world problems. The graph of a linear inequality in one variable is a number line. To graph a linear inequality in two variables (say, x and y ), first get y alone on one side.
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When we toss a coin, then the outcome is head or tail. But what if we toss 2 or 3 coins at the same time? In this case we have to predict the result which is known as probability.
Probability is one of the easiest chapter in Maths book. If you have confusion then you can check our probability classes online.
Probability is mostly popular in multiple fields like sports, weather reports, statistics, medical field etc. Now a days it's used in emerging fields like artificial intelligence and machine learning.
1. Weather planning - The weather experts around the world use probability for finding out the weather changes. They collect all the reports and predict the temperature or other conditions of a day, week or month.
2. Sport strategies - Probability plays a key role in making the game strategies. The players or coaches use this to understand the strengths and weakness of a particular team. The game analyst uses this strategy to find out the performance of a team and the players. In this way they check how strong their team is and in what areas they need to put extra efforts. Some analysts also use this strategy to decide which team player will be playing a specific game and against whom.
3. Insurance companies - The insurance companies use probability while issuing a policy. They use this theory while calculating the premium. They use probability on the health condition and lifestyle of the individual.
4. In politics - Most politicians use probability to find out the election results. They try to predict the exit poll results according to party's and candidates popularity in particular constituencies.
5. In games - Did you ever know that games like video games, poker, gambling and blackjack games are based on probability? With the help of probability, you can find out the chances to win a game.
6. Lottery tickets - According to us, winning a lottery is based on our luck, but that is the major misconception. Instead of luck, this is based on the role of probability. This is the most real life example of probability.
7. In decision making - Probabilty also plays a great role in the field of making decisions. When you are in confusion and can't reach the specific solution, then probabilty can help you.
8. Medical decisions - When a patient is undergoing surgery, the doctors also use probability to share the success rate.
9. In traffic signals - Along with the already mentioned fields, traffic signals also uses probability to control traffic flows on the highways.
Other than this, when we type something in your phone, then it shows suggestions related to words which is also based on probability.
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Mathematics is used in Biology. If you want to make a career in biology or want to become a doctor, you still have to learn mathematics in your school and colleges. As a doctor you have to use mathematics in research, cancer treatments, medical tests and writing medicines. In this we explain the useful application of mathematics in biology. Some of them are in field of DNA, Clinical trials, lab experiments, creating models, writing medicines, finding BMI etc. Please watch the video to know more.
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For what reason do we need to really focus on our youngster's maths training? For what reason is maths so significant contrasted with different subjects? So Here are the advantages -
Initially, maths helps in working on the IQ of the youngster. Maths is about sensible reasoning and doing maths at an early age hones the IQ of the kid by changing cerebrum movement designs.
Also, it further develops the youngster's perception abilities. An individual who is a decent spectator can dominate in any situation. They can notice their current circumstance and sort out what they need to do in various circumstances.
Thirdly, it helps the kid in creating performing multiple tasks capacity. On the off chance that a kid practice maths from early age, the individual can do numerous things effortlessly.
Fourthly, it further develops the dynamic force. It has been seen that mathematician has great dynamic forces. That is the explanation in common help assessments, maths in one of the fundamental subjects. So early maths schooling for the kid will assist him with creating dynamic capacity.
Fifthly, It assists the youngster with becoming imaginative. Imaginative abilities like music, portraying and painting can be upgraded with assistance of math. These expressions include utilization of estimations and perceptions. So upgrading maths abilities from adolescence, helps the kid turning out to be acceptable in music and expressions.
So to finish up, all guardians ought to urge their youngsters to be acceptable at math abilities. We, at MathsGenii are assisting youngsters with fostering their maths abilities from youthful age. Our online maths courses are available to all understudies and can be gotten to from any edge of the world. To find out about the learning programs, kindly visit our site today.
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Concept Building session on Derivatives Grade 11 chapter 13.
Derivatives | Class 11 Maths Chapter 13 | JEE Main Maths. Learn Derivatives Class 11 with Sanyukta. Derivatives | Derivatives Class 11 | ... View More

Introduction to Derivatives | Grade 11 Chapter 13 Maths | CBSE | MathsGenii

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Concept Building session on Derivatives Grade 11 chapter 13.Derivatives | Class 11 Maths Chapter 13 | JEE Main Maths. Learn Derivatives Class 11 with Sanyuk...

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For a parent, the essential concern is securing the future of the child. No parent wants to see their child living a mediocre life and doing a job that does not allow them to live a lavish life. Paren... View More

Professions which require strong base in Mathematics | Professional Career | MathsGenii

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For a parent, the essential concern is securing the future of the child. No parent wants to see their child living a mediocre life and doing a job that does ...

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Circles | CBSE Class 10 Maths Chapter 10 NCERT Solutions | MatheGenii Class 9 and 10. In today's session, Sanyukta explains the Circles Class 10 NCERT Maths Book, as it is one that can help extensively in your studies and one of the important portions for the Class 10 Maths Exam. A circle is all points in the same plane that lies at an equal distance from a center point. The circle is only composed of the points on the border. Learn Tangent to a Circle, Number of Tangents from a Point on a Circle
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