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Description
Curriculum
Instructor
Real-world, code-oriented learning for programmers to use probability/stats in all of CS, Data Science and Machine Learning!!
On Completion of this course, you’ll be able to understand:
- Necessary concepts in stats and probability
- Important concepts in the subject necessary for Data Science and/or ML
- Distributions and their importance
- Entropy – the foundation of all Machine Learning
- Intro to Bayesian Inference
This course is just apt for you in case you are:
- Beginner ML and data science developers who need a strong foundation
- Curious about data science and machine learning
- Looking to find out why probability is the foundation of all modern machine learning
- Wanting to know how to harness the power of big data
Some exceptional benefits associated with this course enrolment are:
- Quality course material on probability & statistics
- Lifetime access to the course
- Instant & free course updates
- Access to all Questions & Answers initiated by other students as well
- Personalized support from the instructor’s end on any issue related to the course
- Few free lectures for a quick overview
It’s time for you to grab the opportunity and make the most out of this course.
Enroll today!!
Dr. Mohammad Nauman
0 Students8 Courses
I hold PhD in Computer Sciences and a PostDoc from the Max Planck Institute for Software Systems. I have been programming since early 2000 and have worked with many different languages, tools and platforms. I have an extensive research experience with many state-of-the-art models to my name. My research in Android security has led to some major shifts in the Android permission model.
I love teaching and the most important reason I upload online is to make sure people can find my content. If you have any problem with finances and you want to take my courses, please visit my site (link on the left). I am more than willing to give out coupons that will make the course more affordable for you.
You can see all the different areas I've worked with on my site as well as on my github page.
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