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Machine Learning

Machine learning is an AI (artificial intelligence) based application that directs a computer to read its user. It adapts the functionality of its users and programmes itself in a way to process without any human command. The primary function of this is to predict the recent data through your search history and generate relevant help. 

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How Does Machine Learning Work?

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As the word machine learning itself suggests, it demands minimal human command. The machine will look into the recent data and the search history to follow the specific pattern and execute the solution. It teaches a computer to adapt to the most complex codes and generate an automated result. The purpose of machine learning or AI was to limit human intervention with maximized technical activity.

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What is Machine Learning Algorithms?

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Machine learning algorithms are a set of rules which enables the application to performs better. It learns and adapts to the situation of the user to determine the required result. Some of the machine learning algorithms are;

• Logistic regression
• Linear regression
• Random forest
• kNN
• Naive Bayes
• SVM 

These are some of the standard algorithms used in machine learning application. Our writers at MyAssignmenthelp.com explain in details about these algorithm and machine learning to help with your assignment. 

Machine Learning Projects

Our writing experts at MyAssignmenthelp.com have worked on several machine learning projects successfully. They have acquired years of experience and expertise in the field with their hard work and practice. Try your hands in some of the best machine learning projects with our writers onboard. Examples of some AI-based projects are;

• Adaptive learning in online classes
• Stock prediction
• Weather reports
• Cabs data analysis

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Thanks to the technological advancements in the recent years, machine learning has gained ground and has given way to scope for several computer-savvy students. Machine learning is an application of artificial intelligence that trains the computer to self analyze without any specific commands in various situations. It is one of the most complicated topics in computer science and doing a machine learning project can be quite a tedious affair. This is the reason that leads numerous students to look for machine learning homework help services. 

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Here at MyAssignmenthelp.com, we provide you with the most reliable solutions for your assignment. We have experts who have experience in solving your machine learning project with perfection. Our Machine Learning Homework Writing Experts are proficient in providing any machine learning homework solutions.

Here are some of the reasons why they are your best bet.

• Our writers are expert engineers who are well versed with the nits and bits of machine learning.
• They are associated with renowned universities that make them aware with the minute details of ML.
• They have professional research skill always help them to deliver plagiarism-free assignment.

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Curious to know what is machine learning?

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Machine learning is the part of computer science that entirely focuses on the evolution of computer programs that helps computers to study the data and can use it according to its intelligence. If you want to write an introduction to machine learning assignment, then our service provides you with the best options.  

When you are about to define machine learning, then you can write about these 3 major building blocks of machine learning. These will help you understand how machine learning works-

• First block is known as Model is used to make a prediction.
• Parameters are the second block. Models use these parameters to make predictions.
• The third block is a learner. They adjust both the blocks to align the prediction with the actual results.

These are the functionalities that are usually adopted in machine learning. At MyAssignmenthelp.com, you get machine learning homework help from writers who can explain the procedure of working of machine learning in the purest form.  

Types of Machine Learning that you need to know

There are 3 types of machine learning that you should know if you want to write an informative assignment on the topic.

The 3 types of machine learning are:

• Supervised Learning
• Unsupervised learning
• Reinforcementlearning

Let’s get some more information:-

1. Supervised Machine Learning

In such type of concept of machine learning, the algorithm is prepared that acts as a teacher. Once you enter an input variable and expect specific output for it, the algorithm trains the computer through self-analysis to generate the desired output.

2. Unsupervised Machine Learning 

In such type of learning, there is no teacher to guide for the output. Rather there is the output provided to the computer. Only input data is provided rest computer will study from the algorithm and will derive the output from it.

3. Reinforcement Learning

In such learning, the data provided is mostly incomplete. Hence you have to use both the techniques of learning relatively considering the situation. 

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How to learn machine learning?

3 simple steps for beginners to learn ML

Wondering how to become a machine learning engineer? If you are looking forward to learning this new technology of training computer, here are three simple steps that you can follow to learn ML:

• Be friends with Prerequisite

 As a beginner, you need to know the core prerequisites. These prerequisites are linear algebra, statics, multivariate calculus and Python. Before you start with machine learning, know the basics of these concepts.

• Understand the concept

Get through all the thoughts of ML. These concepts will help you get through all machine learning problems and solutions. You have to know the terminologies like model, features, target, training, target, predictions. You have understood the type of ML and the algorithms. 

• Take part in a competition

There are several competitions in which you can take part to check your performance. These can answer to how to become a machine learning engineer. Some of the competitions are:-

• Titanic
• Digital recognizer

You can challenge yourself in these competitions and can improvise according to your performance.

Often students have doubts regarding deep learning vs machine learning. Here are some aspects that will help you to understand the difference between them:- 

Deep learning is a kind of machine learning. Though there are several differences between but the basic difference is the algorithm of deep learning takes a long time to train the computer, and the case is reversed in machine learning.

With these details, you will easily be able to master machine learning. But still, if you have a doubt, then you can take help from the machine learning homework tutorials available online.

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Sample Question And Solution Of Software Engineering

Question: 

SIT720: Machine Learning

Answer the following questions briefly, after reading the paper

1. What is the objective of the data collection process?
2. What human activity types does this dataset have? How many subjects/people have performed these activities?
3. How many instances are available in the training and test sets? How many features are used to represent each instance? Summarize the type of features extracted in 2-3 sentences.
4. Describe briefly what machine learning model is used in this paper for activity recognition and how is it trained. How much is the maximum accuracy achieved? Assessment Information
    

Answer:

Introduction

Machine learning and data analytics has become an important part of every industry ranging from the FMCG companies to the health care and the logistics industries. The availability of different types of data (both structured and unstructured data) and the analytical and statistical techniques have helped various industries to make better business decisions(Acharjya & P 2016; Xie et al. 2018). From predicting the weather to predicting customer purchasing behavior data analytics has become an important part of every business. So, the project is also aimed to implement some of the machine learning techniques and interpret the findings. This project will focus majorly on the classification techniques. Some of the classification techniques included in the current project are the random forest, support vector machine, KNN, and logistic regression. All the techniques have been tested on the same data set so that the comparison can be made. The comparison of the models and identification of the best model has been presented in the last part of the project. Read more...

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Most Popular FAQs Searched By Students:

Q1. what type of coding is used in machine learning?

Ans. Python is the first choice for machine learning. A total of 8.2 million programmers in the world use Python for their programming purposes. It scored 100 with 1st rank around the world by the IEEE spectrum. Python got maximum support as the primary choice for programmers under various programming libraries and tools. Scikit and TensorFlow are two machine learning libraries to validate Python for machine learning purposes.

Q2. what type of technology does machine learning use?

Ans. Machine learning works under artificial intelligence-based technology. It facilitates its user to get an automated result as per their recent search history. This technology adapts the user’s mentality and follows a pattern to deliver output. It learns from the previous data and generates solution with minimum human intervention. 

Q3. how to use machine learning?

Ans. Machine learning is an AI-based application and can be used as follows;

The first step is to define your problem

• Data analysis
• Check for algorithm
• Modify results
• Present result

Q4. why is machine learning important?

Ans. The world has evolved with the evolution in technology. The machine has proved its importance in almost every sector with this massive evolution. Machines are mistakes free unlike humans, and perform optimum delivery without any wear and tear. It has covered many necessities in many fields, including academics, weather reports, sports, investment planning, online shopping etc. The contribution of machine learning is unparalleled and has blended with our daily needs without even letting us realize it.

Q5. what language is used in machine learning?

Ans. Programmers use certain machine learning languages for their coding purpose. Though the most popular choice among the programmers in Python but some others are also there, such as;

• JavaScript
• C++
• C
• Julia
• Shell
• Typescript
• Scala
• R