Stay Up to Date to Latest Technologies with 51 Hours of Content on Data Science, Machine Learning, Kaggle, Python, Pandas, and More
Core Theories in Data Science and Machine Learning
Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages. Machine learning helps you stay ahead of new trends, technologies, and applications in this field.
This theoretical course is designed to provide a comprehensive understanding of the core principles and concepts behind data science and machine learning algorithms. It focuses on the foundational theories that underpin data science, machine learning, and deep learning, without delving into hands-on programming.
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What you’ll learn
Access 21 lectures & 2 hours of content 24/7
Learn about the fundamental theories & logic driving data science practices
Understand the theoretical aspects of machine learning, including algorithms, models & their applications.
Gain knowledge about deep learning concepts &how they extend traditional machine learning techniques
Learn about data collection & preprocessing methods from a theoretical perspective
Explore advanced topics including reinforcement learning & their theoretical underpinnings
Know frameworks & models guiding data science practices
Who is this course for
Individuals interested in understanding the theoretical foundations of data science and machine learning
Students and professionals seeking a deeper grasp of algorithms and models used in data science
Those who want to enhance their theoretical knowledge before applying practical skills
Beginners who want a strong theoretical background before diving into hands-on projects
Researchers and academics looking for a comprehensive overview of data science concepts and principles
SpecsImportant Details
Length of time users can access this course: lifetime
Access options: desktop & mobile
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: all levels
Certificate of Completion ONLY
Updates included
Closed captioning NOT available
NOT downloadable for offline viewing
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Requirements
Basic knowledge of Python
Be able to operate & install necessary software on your computer
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