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"ABOUT MICROSOFT STUDENT PATNER'S PROGRAM(MSP'S)"

WHAT DOES AN MSP DO? Hello Guys, Im kaushik Tummalapalli and recently I got selected as an MSP for 2020-2021 and MSP actually stands for Microsoft Student Partner. Some Basic Glance about MSP: Microsoft Student Partners (MSPs)  are student technology leaders, empowered to build Microsoft communities on their campus and share their deep knowledge and passion for technology with their fellow classmates. Spanning more than 100 countries around the world, MSPs receive: Leadership Experience  -  Host fun workshops, run hackathons, and give demos on campus to grow a community of students. Resume Building  - Enhance their promotional skills, add to their professional technology experience, and work alongside Microsoft professionals. Exclusive Access  - Receive insider training, exposure to career opportunities, and access to the latest technology events. Some Important tips to get selected in this program as an MSP: 1> If you have passion in technology you have a greater
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EP: TERMINAL COMMANDS

Terminal Commands :  Here in this module i'll be going through some basic commands that may be very useful when   we are using a command prompt/Terminal or some other computer system like linux etc. So I'm currently using a mac book air version where I have got a pre-installed terminal otherwise you can find it in your files in drives/files in your computer system(ALERT: I'm using MAC BOOK AIR TERMINAL) 1. So the first command is cd ( which actually stands for change directory 2. ls (it will get the total list in that directory) 3. ls -l (we get the list of  everything in a list) 4. clear (This command is used to clear all the commands in the terminal) 5. pwd (This command is very much used to know in which path we are in or the location we are moving) 6. cd ../ (This command is used to go back one step or in other words go back to the previous path or directory) 7. mkdir (We make a directory which means to create a folder on our current directory or pat
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EP 4. MACHINE LEARNING CYCLE

EP 4. MACHINE LEARNING CYCLE: Creating a machine learning application or implementing a machine learning algorithm to some data is an iterative process . We can't simply develop a machine learning algorithm and just leave it because data changes , preferences emerge. When we train our machine learning model with a machine learning algorithm, for each and every algorithm there is different accuracy. So we should choose which one fits correctly in terms of all metrics like f-square, mean absolute error, p-value etc. The machine learning cycle is continous cycle  and choosing which algorithm fits is only one of the step in the cycle.The steps in the machine learning cycle are as follows: 1> Identify the data : First of all when we have a dataset full of data and features(columns) we have to select which feature we want because it will be an underfit when we try to predict. We can do feature engineering when we want to add any features.Then the next step is to observe how the
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EP 3. APPROACHES TO MACHINE LEARNING(PART 2):

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EP3   APPROACHES TO ML(PART 2): In the last post we have seen how supervised learning performs to get the output in 2 ways i.e in continuous valued output and discrete valued output. Now without any delay let's get started with Unsupervised learning. Unsupervised learning is best suited when the problem requires a massive amount of data which is unlabeled. This data is actually un readeable or not really intresting to see. For example , Social media applicants such as twitter,Instagram,facebook and many social media applicants have lot amounts of unnamed data. By applying unsupervised machine learning algorithms, the system will learn itself from its own mistakes through many attemps and use cases. Some of the intresting examples where we apply machine learning algorithms is Self driving cars and also drones.  In Unsupervised machine learning we actually hear a lot about clustering. When you came across google news, You actually find the same data which is published by many
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EP 2. APPROACHES TO MACHINE LEARNING:

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  EP2. Approaches to Machine Learning: Today Lets get started with the approaches in ML. Machine Learning techniques are required to improve the accuracy of predictive models. There are actually different techniques used on different data and analysis stuff. SUPERVISED LEARNING: Supervised Learning typically starts with a well-addressed data and a certain understanding of how the data is classified. We actually give the well-structured data and apply machine learning algorithm we will get the output. So indirectly, we are telling the machine how the output will be like and what should we get actually from that. We actually tell the machine how to get the predictions for us.  The above picture represents the supervised learning. There are 2 types of Supervised Learning: 1>CLASSIFICATION     2>REGRESSION For example when you consider a patient is to verify if he is actually suffering from cancer or not: we actually use the classification technique so the machin
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EP 1. INTRODUCTION TO MACHINE LEARNING

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EP 1.   INTRODUCTION TO MACHINE LEARNING Hey without any delay lets get started! Machine Learning(ML),Artificial intelligence, Cognitive computing, Data science are the evolving technologies in every field across the world and they are the certainly the next generation and today's world as well. While many will be thinking where we gonna use these intelligent technologies but its everywhere around us, for example, we use the phone all the time, Spamming emails that we hate to see and unsubscribe them, etc. So while I gonna explain one example of machine learning where we actually can get the definition of machine learning i.e spamming emails and when we spam the app notifications like Flipkart ETC so when we actually tell the computer about our desired needs and its  gonna divide the emails into 2 parts where it distinguishes from useful emails and spam emails. So indirectly we are giving the information to the computer to perform our desired tasks without explicitly prog
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TEST POST TO CHECK WHETHER THE USERS ARE GETTING UPDATES ABOUT THE POST OR NOT!! --> First post successfully tested and it works fine without any crashes during posting it🙋‍♂️.
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