Udemy - Learn Machine learning from scratch

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Udemy - Learn Machine learning from scratch
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Udemy - Learn Machine learning from scratch

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44.1 KHz, 2 ChGenre: eLearning Video | Language: English | Duration: 6.5 hour | Size: 4.62 GBThe course for Introduction to Machine Learning is to help you understand what machine learning can and can't do for you today and what it might do for you in the future.



What you'll learn Part of the emphasis of this course is on using the right tools.This course uses both Python and R to perform various tasks.The emphasis is on getting you up and running as quickly as possible, and to make examples straightforward and simple so that the application code doesn't become a stumbling block to learning.RequirementsNot hard and fast but you have basic knowledge of math, exposure to computer and internet. Computer knowledge is required to run programming languages and math for building algorithms.DescriptionCourse Name: An Introduction to Machine LearningThe term machine learning has all sorts of meanings attached to it today, especially after Hollywood's (and others') movie studios have gotten into the picture. Films such as Ex Machina have tantalized the imaginations of moviegoers the world over and made machine learning into all sorts of things that it really isn't. Of course, most of us have to live in the real world, where machine learning actually does perform an incredible array of tasks that have nothing to do with androids that can pass the Turing Test (fooling their makers into believing they're human). An Introduction to Machine Learning provides you with a view of machine learning in the real world and exposes you to the amazing feats you really can perform using this technology. Even though the tasks that you perform using machine learning may seem a bit mundane when compared to the movie version, by the time you finish this video lectures, you realize that these mundane tasks have the power to impact the lives of everyone on the planet in nearly every aspect of their daily lives. In short, machine learning is an incredible technology - just not in the way that some people have imagined.Why do use Machine Learning?Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.Most industries working with large amounts of data have recognized the value of machine learning technology. By gleaning insights from this data - often in real-time - organizations are able to work more efficiently or gain an advantage over competitors. The Different Industries which are engaging heavily for development and deployment of Machine Learning are:1. Financial Services2. Health Care3. Oil & Gas4. Government5. Retail6. TransportationWhat we can do with Machine Learning?Using algorithms to build models that uncover connections, organizations can make better decisions without human intervention.1. Opportunities for machine learning in business2. Applying machine learning to IoT3. Robot locomotion4. Medical diagnosis5. Search engines6. Telecommunication7. General game playingThese are some few applications example and numerous others have not listed.Course contentPART 1: INTRODUCING HOW MACHINES LEARN.Getting the Real Story about AILearning in the Age of Big DataHaving a Glance at the FuturePART 2: PREPARING YOUR LEARNING TOOLSInstalling an R DistributionCoding in R Using RStudioInstalling a Python DistributionCoding in Python Using AnacondaExploring Other Machine Learning ToolsPART 3: GETTING STARTED WITH THE MATH BASICSDemystifying the Math behindMachine LearningDescending the Right CurveValidating Machine LearningStarting with Simple LearnersPART 4: LEARNING FROM SMART AND BIG DATAPreprocessing DataLeveraging SimilarityWorking with Linear Models the Easy WayHitting Complexity with Neural NetworksGoing a Step beyond Using SupportVector MachinesResorting to Ensembles of LearnersPART 5: APPLYING LEARNING TO REAL PROBLEMSClassifying ImagesScoring Opinions and SentimentsRecommending Products and Movies
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