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Machine learning tutorial ppt.
Now, let us get started with this Machine Learning presentation and understand what it is and why it matters. Below topics are explained in this Machine Learning presentation: 1. Why Machine Learning? What is Machine Learning? Types of Machine Learning 4. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
Why learn Machine Learning? Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning The Machine Learning market size is expected to grow from USD 1. We recommend this Machine Learning training course for the following professionals in particular: 1. Developers aspiring to be a data scientist or Machine Learning engineer 2. Information architects who want to gain expertise in Machine Learning algorithms 3.
Analytics professionals who want to work in Machine Learning or artificial intelligence 4. The SlideShare family just got bigger. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. You also get free access to Scribd! Instant access to millions of ebooks, audiobooks, magazines, podcasts and more.
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Next SlideShares. You are reading a preview. Activate your 30 day free trial to continue reading. Continue for Free. Upcoming SlideShare. Machine learning basics using trees algorithm Random forest, Gradient Boosting. Embed Size px. Start on. Show related SlideShares at end. WordPress Shortcode. Share Email. Top clipped slide. Simplilearn Follow.
Machine learning algorithms and business use cases. More Related Content Slideshows for you Module 2: Machine Learning Deep Dive. Machine Learning : regression models. Machine Learning Interview Questions and Answers. Essentials of machine learning algorithms. Decision tree, softmax regression and ensemble methods in machine learning. Machine Learning: Foundations Course Number Application of Machine Learning in Agriculture.
Visual diagnostics for more effective machine learning. Unit 1 machine learning - www. A practical Introduction to Machine s Learning. More from Simplilearn How to Rank 1 on Google? Top 10 reasons to learn Digital marketing. Recently uploaded Wind Energy Siting and Development. Current electricity Series Parallel. Japan Architectural Review - - Morshed - Overheating and energy use in u Machine learning Tutorial 2. Because Machine can drive your car for you!! Because Machine can unlock your phone with your face!!
Because Machine can now detect 50 eye diseases 4. Nobody likes spam posts on Facebook that annoy them into interacting with likes, shares, comments, and other actions 6. Block this post Data fed to the machine 8. Machine learning is the science of making computers learn and act like humans by feeding data and information without being explicitly programmed! For instance, whether the stock price will increase or decrease Do you want to predict a category? For instance, predicting the age of a person based on the height, weight, health and other factors Do you want to predict a quantity?
For instance, you want to detect money withdrawal anomalies Do you want to detect an anomaly? For instance: Finding groups of customers with similar behavior given a large database of customer data containing their demographics and past buying records Do you want to discover structure in unexplored data? What do you understand from Measures and Dimensions? Grouping documents into different categories based on the topic and content of each document Grouping documents into different categories based on the topic and content of each document B.
Identifying hand-written digits in images correctly Identifying hand-written digits in images correctly C. Machine Learning an Research Overview. Artificial intelligence and machine learning. Recently uploaded Current electricity Series Parallel. Chapter 1 - Introduction to the basic concepts of networks. Altitude of a rocket- mass vs initial speed. Wind Energy Siting and Development.
Machine learning ppt 1. History of Machine Learning. What is Machine Learning. Why ML. Learning System Model. Training and Testing. Machine Learning Structure. Outline 3.
History of ML 4. Why ML 8. Training set observed Universal set unobserve d Testing set unobserved Data acquisition Practical usage Algorithm Supervised learning Unsupervised learning Semi-supervised learning Unsupervised learning Contd.
Application Furthermore, there are more and more techniques apply machine learning as a solution. In the future, machine learning will play an important role in our daily life. Conclusion You just clipped your first slide! Clipping is a handy way to collect important slides you want to go back to later. Now customize the name of a clipboard to store your clips. Visibility Others can see my Clipboard. Cancel Save. Get SlideShare without ads Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more ad-free.
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Machine learning tutorial ppt.
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Learn why. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into machine learning tutorial ppt mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves.
So, to put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. Now, let us get started with this Machine Learning presentation and understand what it is and why it matters. Below topics are explained in this Machine Learning presentation: 1.
Why Machine Learning? What learnlng Machine Learning? Types of Machine Learning 4. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.
This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning. Why learn Machine Learning? Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning The Machine Learning market size is expected to grow from USD 1.
We recommend this Machine Learning mwchine course for the following professionals in particular: 1. Developers aspiring to be a data scientist or Machine Learning engineer 2. Information architects who want to gain expertise in Machine Learning algorithms 3. Analytics professionals who want to work in Machine Learning or artificial intelligence 4.
The SlideShare family machine learning tutorial ppt got bigger. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. You also get free access to Scribd! Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. It appears that you have an ad-blocker running.
By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Successfully reported this slideshow. Your SlideShare is downloading. Next SlideShares. You are reading a preview. Activate your 30 day free trial to continue reading. Continue for Free. Upcoming SlideShare. Machine learning basics using trees algorithm Random forest, Gradient Boosting. Embed Size px. Start on. Show related SlideShares at end.
WordPress Shortcode. Share Email. Top clipped slide. Simplilearn Follow. Machine learning algorithms and business use cases. More Related Content Slideshows for you Module 2: Machine Learning Deep Dive. Machine Learning : regression models. Machine Learning Interview Questions and Answers.
Essentials of machine learning algorithms. Decision tree, softmax regression and ensemble methods in tutkrial learning. Machine Learning: Foundations Course Number Application of Machine Learning in Tutoiral. Visual diagnostics for more effective machine learning. Unit 1 machine learning - www. A practical Introduction to Machine s Machine learning tutorial ppt. More from Simplilearn How to Ppt 1 on Google? Top 10 reasons to learn Digital marketing.
Recently uploaded Machine learning tutorial ppt Energy Siting and Development. Current electricity Series Parallel. Japan Architectural Review - - Morshed - Overheating and energy use in u Leqrning learning Tutorial 2.
Because Machine can drive your car for you!! Because Machine can unlock your phone with your face!! Because Machine can now detect 50 eye diseases 4. Nobody likes spam posts on Facebook that machune them into machine learning tutorial ppt with likes, shares, comments, and other actions 6. Block this post Data fed to the machine 8. Machine learning is the science просто windows 10 pro latest version download 64 bit правде making computers learn and act like жмите сюда by feeding data and information without being explicitly programmed!
For instance, whether the stock price will increase or decrease Do you want to predict a category? For instance, predicting the age of a person based on the height, weight, health and other factors Do you want to predict a quantity? For instance, you want to detect money withdrawal anomalies Do you want to detect an anomaly?
For instance: Finding groups of customers with similar behavior given a large database of customer data containing their demographics and past buying records Do you want to discover structure in unexplored data? What do you understand from Measures and Dimensions? Grouping documents into different categories based on the topic and content of each document Grouping documents into different categories based on the topic and content of each document B.
Identifying hand-written machine learning tutorial ppt in images correctly Identifying hand-written digits in images machine learning tutorial ppt C. Behavior of a website indicating mchine the site is not working as designed Behavior of a website indicating that the site is not working as designed D. Types of Machine Learning Supervised Linear Regression Imagine, we are predicting windows 10 pt br iso download travelled y from speed x.
Time is constant Distance is constant Suppose we have a dataset that looks like: x y 1 3 2 2 3 2 /10897.php 4 5 3 Linear Regression Windows 10 1703 download iso actiontec, lets find regression equation to find the best fit line!
Linear Regression Hence this is our regression line! Linear Regression Plot the predicted values along with the actual values to see the difference 1 2 3 turorial 5 6 1 2 3 4 5 - - -- Error Error Error Error x y yp 1 3 2.
Linear Regression So, our goal is to reduce this error! Linear Regression Minimizing the Machine learning tutorial ppt There are lots of ways to machine learning tutorial ppt the distance between the line and the data points like Sum of Squared errors, Sum of Absolute errors, Root Mean Square error etc. We keep moving this line through the data points to make sure the best fit line has the least square distance between the data points and the regression line Decision Trees Decision Tree is a tree shaped algorithm used to determine a course of action Each branch of the tree represents a possible decision, occurrence or reaction Decision Ttorial We have a data which tells us if it is a good day to play golf!
Decision Trees Suppose, we draw our tree like this! Decision Trees But, is this the right decision tree? For that, we should calculate Entropy and Information Gain!
Information Gain should be high! Better quality image will be replaced You can watch a golf game at home!
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