Mathematics — Statistics & Probability mastery for Data Science, Machine Learning & Deep learning.
Author: Manifold AI Learning®
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DESCRIPTION
The Growing availability of data has made way for Data Science and Machine Learning to become in-demand professions. We define Statistics for Data Science – Predictive Analytics as exposure to Statistics which is essential for anyone seeking a career in Data Science and Machine learning.
In this course, you will get the required college math, statistics, and practical implementation from Data Analytics which are necessary to understand better what goes in the black box libraries(sklearn) that you would encounter in the Data Science Journey.
With this course, as a learner, you will be exposed to various Statistics and Machine Learning topics that will apply to real-world problems.
The Ultimate goal of taking this structured approach is to integrate everything we learn and demonstrate practical insights in using Machine learning and Statistical Libraries beyond a black-box understanding.
WHO IS THIS COURSE FOR:
- Anyone who wants to understand the fundamentals underlying the abstractions of ML Algorithms, and expand the capabilities
- A software developer who wants to develop the firm foundation for the deployment of Machine learning Algorithms into Production Systems
- A Data Scientist who wants to reinforce the understanding of the Subjects at the core of the professional discipline
- A Data Analyst or A.I enthusiast who wants to become a data scientist or ML Engineer and is keen to deeply understand the field you are entering from Level Zero.
REQUIREMENTS
- Basics of Python
- Access to Laptop for code execution
- Willingness to learn the Math Topic
WHAT WILL YOU LEARN
- Learn Underlying Mathematics to build an intuitive understanding & relating it to Machine Learning and Data Science
- Hands-On Code Implementation with Python for each mathematical topic to deepen the knowledge
- Master the Advanced level in an Interactive learning approach to Strengthen your knowledge of Difficult & Important Topics
- Understand the Importance of Probability & Distributions, and choose the right function for your data.
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