Path to Becoming a Machine Learning Expert | How To Become a Machine Learning Expert

Описание: Path to Becoming a Machine Learning Expert | How To Become a Machine Learning Expert
🔥Master of Science in Machine Learning & AI: https://www.upgrad.com/masters-in-ml-...
🔥Post Graduate Certificate in Machine Learning and Deep Learning: https://www.upgrad.com/machine-learni...
🔥Post Graduate Programme in ML & AI from IIIT B (Executive): https://www.upgrad.com/machine-learni...
🔥Post Graduate Certificate in Machine Learning & NLP (Executive): https://www.upgrad.com/machine-learni...

Are you on the right path of being a Machine Learning Expert? We got you covered.
We have Rohit Ghosh helping you with the right way to becoming a #MachineLearning Expert.

Embark on the exciting journey of becoming a Machine Learning expert with our comprehensive tutorial, "Path to Becoming a Machine Learning Expert," presented by upGrad. This video is designed to guide you through the essential knowledge and skills required to excel in the field of Machine Learning, covering both the theoretical and practical aspects of the discipline. Whether you're a beginner or looking to advance your expertise, this tutorial will provide you with a clear roadmap to mastery.

1. The Math Way:
Delve into the mathematical foundations of Machine Learning. This section will cover the essential mathematical concepts and techniques that underpin Machine Learning algorithms and models.

Linear Algebra: Learn about vectors, matrices, and operations that are fundamental to understanding data representation and transformations in Machine Learning.
Calculus: Explore the role of calculus in optimization techniques, such as gradient descent, which are crucial for training Machine Learning models.
Probability and Statistics: Understand how probability theory and statistical methods are used to make inferences from data and build predictive models.

This section emphasizes the importance of a strong mathematical foundation, enabling you to grasp the inner workings of Machine Learning algorithms and improve your problem-solving skills.

2. The Code Way:
Transition from theory to practice by learning how to implement Machine Learning algorithms using code. This section covers the practical aspects of Machine Learning, focusing on popular programming languages and frameworks.

Python for Machine Learning: Discover why Python is the preferred language for Machine Learning.
Scikit-learn: Get hands-on experience with scikit-learn, a powerful library for implementing a wide range of Machine Learning algorithms.
Deep Learning Frameworks: Explore deep learning frameworks like TensorFlow and PyTorch. Understand how to design and train neural networks for complex tasks such as image recognition and natural language processing.
Practical Projects: Engage in practical projects that apply Machine Learning to real-world problems.

To watch more videos in this series -    • Machine Learning & Artificial Intelligence...  

By the end of this video, you'll have a clear understanding of both the mathematical principles and coding practices required to become a Machine Learning expert. Join us in this tutorial to build a solid foundation and take the first step towards mastering Machine Learning with upGrad. Watch now and start your journey to expertise!

🟢 Get industry-updated insights every week from domain experts - Check out our free masterclasses - https://www.upgrad.com/free-mastercla...

🟢 Wish to get started with your upskilling journey? Schedule a free counselling session - https://calendly.com/upgradadmissions...

#PathtoBecomingaMachineLearningExpert #HowToBecomeaMachineLearningExpert #BecomeaMachineLearningExpert #MachineLearningExpert #MachineLearning