Mobile devices with IoT allows you to track cab location, switch on the light, check security camera, and more. Hence, it has made life easier for both the developers and end-users. When users can manage all from a single device, ultimately it reduced the amount of effort being put by developers while building an app.
The positive impact of the IoT on citizens, businesses and governments will be significant, ranging from helping governments reduce healthcare costs and improving quality of life, to reducing carbon footprints, increasing access to education in remote underserved communities, and improving transportation safety. @pantechelearning
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Which sensor is better to use?? 🤔
Choosing your sensor is completely dependant upon your application. There are a lot of limitations in infrared sensors, like the inability to use them in sunlight due to interference. It can make outdoor applications or dark indoor applications difficult. Ultrasonic sensors work using sound waves, detecting obstacles is not affected by as many factors.  If reliability is an important factor in your sensor selection, ultrasonic sensors are more reliable than IR sensors. If you’re willing to compromise reliability for cost, infrared sensors are ideal for your application.
Ultrasonic sensors work using sound waves, detecting obstacles is not affected by as many factors. If reliability is an important factor in your sensor selection, ultrasonic sensors are more reliable than IR sensors. If you're willing to compromise reliability for cost, infrared sensors are ideal for your application.
Who do you prefer in the battle of ultrasonic vs infrared?

What type of project are you building?

Do comment your answer. What kind of sensor you use in your projects 💻💻💻⌨🔧🔨⚒🧲
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What are Pros and Cons of Internet of Things?IoT is a technology that is being used by all of us. Every technology has its advantages & disadvantages. Let's check out the pros and cons of internet of things.
IoT or Internet of Things is a trending topic today and can be heard on the lips of every techie. It is a common thing that many individuals are using it and their entire day-to-day life is dependent on it.
Zillions of devices are interconnected in the IoT ecosystem, and surprisingly we as human beings never realized that these devices virtually surround us in inter-human or machine to machine interaction.

But, yes they never realize that this is what we call an IoT.
Benefits of IoT Pros
1. Easy Access
2. Wireless technology turns cities into Smart Cities
3. Eases Communication
4. Saves Money Pros
5. Business Benefits
6. Increased Productivity
Cons of IoT 
1. Complexity
2. Compatibility
3. Privacy or Security
4. Lesser Employment or Menial Staffs
5. Technology Takes Control of Life
How IoT works?
The Internet of Things (IoT), consists of all the web-enabled devices that collect, send and act on data they gain from their surrounding environments with the help of making use of embedded sensors, processors, and communication hardware. @pantechelearning
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Logistic regression
Logistic regression is a supervised learning classification algorithm used to predict the probability of a target variable. The nature of target or dependent variable is dichotomous, which means there would be only two possible classes.
In simple words, the dependent variable is binary in nature having data coded as either 1 (stands for success/yes) or 0 (stands for failure/no).
Mathematically, a logistic regression model predicts P(Y=1) as a function of X. It is one of the simplest ML algorithms that can be used for various classification problems such as spam detection, Diabetes prediction, cancer detection etc. @pantechelearning
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List of  AI Tools & Frameworks

From the dawn of mankind, we as a species have always been trying to make things to assist us in day to day tasks. From stone tools to modern day machinery, to tools for making the development of programs to assist us in day to day life. Some of the most important tools and frameworks are:

Scikit learn

Tensor Flow

Theano

Caffe

Mxnet

Keras

PyTorch

CNTK

Auto ML

Open NN
H20: open source AI platform

Google ML kit @pantechelearning
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Classification and Regression are two major prediction problems which are usually dealt with Data mining and machine learning.
Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. discrete values. In classification, data is categorized under different labels according to some parameters given in input and then the labels are predicted for the data.
The derived mapping function could be demonstrated in the form of “IF-THEN” rules. The classification process deal with the problems where the data can be divided into binary or multiple discrete labels.
Regression is the process of finding a model or function for distinguishing the data into continuous real values instead of using classes or discrete values. It can also identify the distribution movement depending on the historical data. Because a regression predictive model predicts a quantity, therefore, the skill of the model must be reported as an error in those predictions.
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What is TensorFlow?

TensorFlow is an open-source end-to-end platform for creating Machine Learning applications. It is a symbolic math library that uses dataflow and differentiable programming to perform various tasks focused on training and inference of deep neural networks. It allows developers to create machine learning applications using various tools, libraries, and community resources.
Currently, the most famous deep learning library in the world is Google's TensorFlow. Google product uses machine learning in all of its products to improve the search engine, translation, image captioning or recommendations.

To give a concrete example, Google users can experience a faster and more refined the search with AI. If the user types a keyword a the search bar, Google provides a recommendation about what could be the next word.
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IoT solutions are focused on helping farmers close the supply demand gap, by ensuring high yields, profitability, and protection of the environment. The approach of using IoT technology to ensure optimum application of resources to achieve high crop yields and reduce operational costs is called precision agriculture. IoT in agriculture technologies comprise specialized equipment, wireless connectivity, software and IT services.

Smart farming based on IoT technologies enables growers and farmers to reduce waste and enhance productivity ranging from the quantity of fertilizer utilized to the number of journeys the farm vehicles have made, and enabling efficient utilization of resources such as water, electricity, etc. IoT smart farming solutions is a system that is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, crop health, etc.) and automating the irrigation system. The farmers can monitor the field conditions from anywhere. 
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At the beginning of the internet, we had access to e-mails, all concepts were new to those who depended on post offices, telephones (we called the first phase).
A rapid change in the era of Information technology always keeps on growing and is always bringing new changes in Computer in the Cloud, SaaS, Web 3.0 and now, Cloud computing is a trend which is integral to Web 2.0 which bring all sorts of user data as well as operating systems online and this makes it unnecessary to use storage devices enabling content sharing platform with web access.
Some Advantages Of This Trend Are:
In most cases the user does not have to worry about the operating system and hardware that is being  used.
The corporate job and file sharing become easier, since all the information is in the same “place“, or the “cloud computing solutions“;
It is easy to imagine that we came from a generation of services. The difference between Web 2.0 and Web 3.0 is that, with the concept of the web as a platform, involving applications in social networks, and IT, this term is new for the web and just because of that, it is hard to update the technical specifications, but a change in how it is perceived by users and developers is an environment for interaction and participation which today encompasses numerous languages and call the second phase.
Now we are in the era of stage or semantic web where we intend to make use of networks in an intelligent manner, approaching the world of artificial intelligence. @pantechelearning
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Data science and machine learning are both very popular buzzwords today. These two terms are often thrown around together but should not be mistaken for synonyms. Although data science includes machine learning, it is a vast field with many different tools.
Data science is a broad, interdisciplinary field that harnesses the widespread amounts of data and processing power available to gain insights. One of the most exciting technologies in modern data science is machine learning. Machine learning allows computers to autonomously learn from the wealth of data that is available.
The applications of these technologies are vast, but not unlimited. Though data science is powerful, it only works if you have highly skilled employees and quality data. 
How is all the big data analyzed? Fine, the machine learns on its own through machine learning algorithms – but how? Who gives the necessary inputs to a machine for creating algorithms and models? No points for guessing that it is data science. Data Science is a uses different methods, algorithms, processes, and systems to extract, analyze and get insights from data.
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10 Essential Python Tips And Tricks For Programmers
Python  is one of the most preferred languages out there. Its brevity and high readability makes it so popular among all programmers.
So here are few of the tips and tricks you can use to bring up your Python programming game.
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Java program to demonstrate the integer data type and Java program to demonstrate the floating point data types.
Which language you love the most?
Comment down your favourite language and the purpose of loving it.
What is the function used to print a statement in Java?
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What is switch case statement and Guess the output of the given program.
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Java program to demonstrate the double data type and character data type.

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What is method overloading. ?
In other words, we can say that Method overloading is a concept of Java in which we can create multiple methods of the same name in the same class, and all methods work in different ways. When more than one method of the same name is created in a Class, this type of method is called Overloaded Methods.
Comment down the difference between method overloading and method overriding...
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Python vs matlab.
Python is a high-level programming language. Python is an interpreted, interactive and object-oriented programming language similar to PERL or Ruby. It is mainly designed to be easy to read and very simple to implement. It is open-source, which means it is free to use. Python can run on all the operating systems. 
MATLAB is a high-performance language that is generally used for the purpose of technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation.
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**save**,** share**, **comment**
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Python is one of the most prevalent programming languages. It is highly user-friendly and an open-source language. Python is not only growing its popularity but also enhancing its applications an almost every field. It is rich in all aspects. It offers a variety of functionalities. Python is very popular. It is building an excellent market in IT industries as well. The demand for Python is growing in all fields. Let us see the reason why Python is in so much demand?
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In simple words, we defined it.
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🔥 *AI Day 26 LIVE* :

*Stemming in NLP*

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❇️ *To Join on Internship Offer* :

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Intro to NLP using AWS

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