Math for Machine Learning (Online Course) [Online Code]

Note: This is an online video training course.Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as: Computer Science Data Science Artificial IntelligenceIf you’re looking to gain a solid foundation in Machine Learning to further your career goals, in a way that allows you to study

Note: This is an online video training course.Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as: Computer Science Data Science Artificial IntelligenceIf you’re looking to gain a solid foundation in Machine Learning to further your career goals, in a way that allows you to study on your own schedule at a fraction of the cost it would take at a traditional university, this online course is for you. If you’re a working professional needing a refresher on machine learning or a complete beginner who needs to learn Machine Learning for the first time, this online course is for you.Why you should take this online course: You need to refresh your knowledge of machine learning for your career to earn a higher salary. You need to learn machine learning because it is a required mathematical subject for your chosen career field such as data science or artificial intelligence. You intend to pursue a masters degree or PhD, and machine learning is a required or recommended subject.Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside. I have created many successful online math courses that students around the world have found invaluable—courses in linear algebra, discrete math, and calculus.In this course, I cover the core concepts such as: Linear Regression Linear Discriminant Analysis Logistic Regression Artificial Neural Networks Support Vector MachinesAfter taking this course, you will feel CARE-FREE AND CONFIDENT. I will break it all down into bite-sized no-brainer chunks. I explain each definition and go through each example STEP BY STEP so that you understand each topic clearly. I will also be AVAILABLE TO ANSWER ANY QUESTIONS you might have on the lecture material or any other questions you are struggling with.Practice problems are provided for you, and detailed solutions are also provided to check your understanding.30 day full refund if not satisfied.Grab a cup of coffee and start listening to the first lecture. I, and your peers, are here to help. We’re waiting for your insights and questions! Enroll now!
PC Minimum System Requirements:PC Recommended System Requirements:Processor:   1 GhzRAM:   1 gbHard Disk:   16 gbVideo Card:   WDDM 1.0 or betterSupported OS:   Windows 10, Windows 8, Windows 8.1, Windows 7, Windows Vista, Windows XP, Windows 2000, WindowsAdditional Requirements:   This is a digital online video course. You will receive a direct link and activation code along with detailed instructions to access this online course upon completion of your purchase.Processor:   Playable on all Windows systemsRAM:   Playable on all Windows systemsHard Disk:   Playable on all Windows systemsVideo Card:   Playable on all Windows systemsMac Minimum System Requirements:Mac Recommended System Requirements:Processor:   1 GhzRAM:   1 gbHard Disk:   16 gbVideo Card:   NVIDIA Quadro FX 5600Supported OS:   Mac OS Sierra 10.12, Mac El Capitan 10.11, Mac Yosemite 10.10, Mac Mavericks 10.9, Mac Mountain Lion 10.8, Mac Lion 10.7, Mac Snow Leopard 10.6, Mac Leopard 10.5, Mac OS X, MacintoshAdditional Requirements:   This is a digital online video course. You will receive a direct link and activation code along with detailed instructions to access this online course upon completion of your purchase.Processor:   Playable on all Mac OSRAM:   Playable on all Mac OSHard Disk:   Playable on all Mac OSVideo Card:   Playable on all Mac OS

Product Features

  • Learn the core topics of machine learning to open doors to data science and artificial intelligence.
  • This course will get beginners started in machine learning in a fast and easy way.