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Introduction to Machine Learning
Humans learns from their past experiences while Machines follow instructions given by Humans. How ever we can train / learn machines to follow instructions by learning from past experiences which we called as “Machine Learning”.
So… how do we train or learn machines to follow instructions since machines doesn’t have a brain to self thinking or doing the analysing process?
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We need to provide data (past data records for specific scope) as inputs to the machine and then it will analyse those pastdata through a specific process (data mining model) and then will output the relevant output based on the input data.
So, to improve the accuracy of the model what should we do? The Answer is :If we provide more data, we’llget a better model which outputs data with higher accuracy.
Application of Machine Learning: HealthCare, Sentiment Analysis (Likes or Dislikes), Fraud Detection, E-Commerce (supermarkets), Time series or data prediction analysis.
Supervised Learning
In Supervised Learning, before doing the analysis, it builds the model and then we can apply the algorithm to estimate the parameters of the model.
Some common examples for supervised learning are:
Regression (Simple Linear Regression, Multiple Regression, Logistic Regression)
In Unsupervised learning, we don’t create a model before analysis is done, instead we apply the algorithm directly to the dataset and observe the result.
Then a model may be created according to the basis of the obtained results.
Some common examples for unsupervised learning are:
Clustering
Association
Other Data Mining Techniques
Association Rule Mining
Prediction
Time Series Analysis
Sequential Patterns
Difference Among Machine Learning, Deep Learning and AI
Artificial Intelligence (AI):
Basically AI means the ability of machines to function like the human brain.
Machine Learning (ML):
Machine Learning is a subset of AI.
It consists of techniques that enable computers to figure things out from the data (past data) and deliver Artificial Intelligence applications.
Deep Learning:
Deep Learning is a subset of ML.
It enables computers to solve more complex problems.
What is Data Mining?
Data Mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes or to take data-driven decisions (specially in businesses).
It helps entrepreneurs, researchers, and individuals to extract valuable information from huge data sets. (data => Information)
Data Mining is also called as Knowledge Discovery in Database (KDD).
Data Mining includes several major processes such as:
Data Cleaning
Data Integration
Data Selection
Data Transformation
Data Mining
Patterns Evaluation
Knowledge Presentation
Advantages and Disadvantages of Data Mining
Advantages
It enables organizations to obtain knowledge based data.
Data mining is cost effective compared to other statistical data applications.
It helps decision-makingprocess of an organization.
It facilitates to automatically discover hidden patterns as well as prediction of trends and behaviours.
It allows new users quickly and easilyanalyse large no of data in a short time of period.
Disadvantages
Many Data Mining analytics software is difficult and needs advance training to work on.
Different Data Mining Instruments operate in different ways due to the different algorithm types used in their design. Therefore, selecting a proper data mining tool may be challenging.
The data mining techniques are not precise, so, it may lead to severe consequences in certain conditions.
Types of Data Mining
Data Mining can be performed using any kind of following types of data.
Relational Database (Collection of multiple data sets formally organized bytables, records, and columns which refers to different tables)
Data Warehouse (Collects various kind of sources within a given organization to provide meaningful business insights)
Data Repositories (Group of Databases of a given Organization)
Object-Relational Database (Languages whichsupports ORM such as C++, Java, C# etc.)
Transactional Database (DBMS which has the potential to undo a database transactionifit is not performed appropriately)
Applications of Data Mining
Here are some of the examples for applications of data mining.
Health Care
Fraud Detection
Education
Financial Banking
Lie Detection
Share Market Analysis
Supermarket Goods Storing Analysis
Data Pre Processing
During the Data Mining Process Data Pre Processing is one of the main stage we have to pass through.
Among the dataset which we are looking to evaluate may contain some Noisy/Incomplete Data (Inaccurate or Unreliable), Missing Data and also may have Complex data.
So, the data should be Pre Processed before using those data to train the model because it may lead the model to predict inaccurate results.
Introduction to Tensorflow.js
TensorFlow.js is an end-to-end free and open source library/platform which helps us to develop and train Machine Learning models.
It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers and developers to easily build and deploy ML powered applications.
It provides feature of easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging.
It allows to easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use.
It allows a simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster.
Sample Model Creation with Tensorflow.js
Here is a simple prediction model creation using tenserflow using the height and weight of a given audience combination of male and female as the dataset which use to predict the gender according to the inputted height and the weight of the given person.
Let's use a Node.js project to perform this task. You may refer the below package.json file to identify all the dependancies used and the other project details.
package.json
{
"name": "com.org.devsdebugger.tensorflow",
"version": "1.0.0",
"description": "Sample Machine Learning Model Creation Using Tensorflow.js",
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How to earn from real estate marketing: The question here is can anyone work in the field of real estate marketing? The answer will definitely be no !! Because the real estate marketer must have some qualities or features in order to start working in this field, one of the most important of these qualities is dealing with society, meaning that you are not a shy person because you will not be able at this time to deal with people or specifically the seller and buyer, and there are other qualities. There are many that you should search for before starting work, as for how to find a property and promote it on social media, there are many ways you can learn and use it, as there are free real estate ads on many sites and you can access these sites and you can advertise your property for free like Craiglist, MarketPlace in Facebook and many more. The field of real estate marketing or profit by marketing real estate is a very profitable field and you can start it now.
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How to earn from real estate marketing: The question here is can anyone work in the field of real estate marketing? The answer will definitely be no !! Because the real estate marketer must have some qualities or features in order to start working in this field, one of the most important of these qualities is dealing with society, meaning that you are not a shy person because you will not be able at this time to deal with people or specifically the seller and buyer, and there are other qualities. There are many that you should search for before starting work, as for how to find a property and promote it on social media, there are many ways you can learn and use it, as there are free real estate ads on many sites and you can access these sites and you can advertise your property for free like Craiglist, MarketPlace in Facebook and many more. The field of real estate marketing or profit by marketing real estate is a very profitable field and you can start it now.
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How to earn from real estate marketing: The question here is can anyone work in the field of real estate marketing? The answer will definitely be no !! Because the real estate marketer must have some qualities or features in order to start working in this field, one of the most important of these qualities is dealing with society, meaning that you are not a shy person because you will not be able at this time to deal with people or specifically the seller and buyer, and there are other qualities. There are many that you should search for before starting work, as for how to find a property and promote it on social media, there are many ways you can learn and use it, as there are free real estate ads on many sites and you can access these sites and you can advertise your property for free like Craiglist, MarketPlace in Facebook and many more. The field of real estate marketing or profit by marketing real estate is a very profitable field and you can start it now.
Real estate marketing: - Real estate marketing will not differ much from online marketing, so if you have previously worked in the field of online marketing, you will be able to start working in the field of real estate marketing easily. Real estate marketing can be divided into three stages only; the first stage is to find The real estate, for example, that you found an apartment, a mansion or a villa for sale at a certain price and with certain specifications, here comes the second stage, which is the stage of real estate marketing, so now the currency of promoting the property that you have found begins, and during this stage, you may face difficulty in the beginning, but with time and work you will master it, and finally the third stage which is fun to finish The deal between the seller and the buyer and you are the middle men, and of course, here the deal should end on profit for all, not only you.
How to earn from real estate marketing: The question here is can anyone work in the field of real estate marketing? The answer will definitely be no !! Because the real estate marketer must have some qualities or features in order to start working in this field, one of the most important of these qualities is dealing with society, meaning that you are not a shy person because you will not be able at this time to deal with people or specifically the seller and buyer, and there are other qualities. There are many that you should search for before starting work, as for how to find a property and promote it on social media, there are many ways you can learn and use it, as there are free real estate ads on many sites and you can access these sites and you can advertise your property for free like Craiglist, MarketPlace in Facebook and many more. The field of real estate marketing or profit by marketing real estate is a very profitable field and you can start it now.
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How to earn from real estate marketing: The question here is can anyone work in the field of real estate marketing? The answer will definitely be no !! Because the real estate marketer must have some qualities or features in order to start working in this field, one of the most important of these qualities is dealing with society, meaning that you are not a shy person because you will not be able at this time to deal with people or specifically the seller and buyer, and there are other qualities. There are many that you should search for before starting work, as for how to find a property and promote it on social media, there are many ways you can learn and use it, as there are free real estate ads on many sites and you can access these sites and you can advertise your property for free like Craiglist, MarketPlace in Facebook and many more. The field of real estate marketing or profit by marketing real estate is a very profitable field and you can start it now.
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