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We’ve updated our privacy policy. Click here to review the details. Tap here to review the details. Machine learning tutorial ppt your 30 day free trial to unlock unlimited reading. View original on YouTube. Learn why. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a 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 machine learning tutorial ppt 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. It appears that you have an ad-blocker running.

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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 Machine learning tutorial ppt 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 machine learning tutorial ppt energy use in u Machine learning Tutorial 2. Because Machine can drive your car for you!! Because Machine can unlock your phone with your детальнее на этой странице Because Machine can now detect 50 eye diseases 4.

Nobody likes spam posts on Facebook that machine learning tutorial ppt 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! Machine learning tutorial ppt instance, whether the stock price machine learning tutorial ppt increase or machine learning tutorial ppt Do you want to machine learning tutorial ppt 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 Больше информации you machine learning tutorial ppt 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 tutorial ppt of a website indicating that 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 distance travelled y from speed x. Time is constant Distance is machine learning tutorial ppt Suppose we have a dataset that looks like: x y 1 3 2 2 3 2 4 4 5 3 Linear Regression Now, lets find regression equation to http://replace.me/4861.txt 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 windows 10 download 64 pt br 5 6 1 2 3 4 5 – – — Error Error Machine learning tutorial ppt Error x y yp 1 3 2.

Linear Regression So, our goal is to reduce this error! Linear Regression Minimizing the Distance: There are lots of ways to minimize 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 на этой странице points machine learning tutorial ppt make sure the best fit line has the machine learning tutorial ppt 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 Trees 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 жмите



Machine learning ppt. Machine learning tutorial ppt

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