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In this video on the AI and Machine Learning Roadmap for 2024. This video is designed for anyone looking to start or advance their career in Machine Learning. We'll begin by explaining what Machine Learning is, a subset of artificial intelligence that focuses on building systems capable of learning from data to improve over time. You'll gain a clear understanding of the fundamentals of ML, its importance in today's technology landscape, and its realworld applications. Our stepbystep roadmap will guide you through the journey: starting with the basics of supervised, unsupervised, and reinforcement learning, moving into the critical mathematical foundations like linear algebra, calculus, and statistics, and mastering essential programming skills in languages like Python and R. You'll learn about data preprocessing techniques such as cleaning, normalization, and feature engineering, and dive into core ML algorithms like linear regression, decision trees, and neural networks. We’ll also cover how to evaluate and tune models using crossvalidation and hyperparameter tuning, and explore advanced topics such as deep learning, natural language processing, and reinforcement learning. Practical projects will help you apply your knowledge and build a robust portfolio. Additionally, we’ll discuss the financial prospects of a career in ML, including average salaries for various roles and factors that can influence your pay. By the end of this video, you'll have a solid understanding of what it takes to succeed in the field of AI and Machine Learning in 2024.

Below are the topics covered in this Machine learning Roadmap:

00:00 Introduction To AI & ML Roadmap 2024
02:39 What Is MAchine Learning?
03:21 Step By Step Machine Learning Radmap
04:01 Mastering Mathematics
04:52 Programming Skills
05:42 Machine Learning ALgorithms
06:34 Advanced Machine learning Concepts
07:04 Learn Deployement Tools
07:27 MAchine Leanring Projects
08:21 Machne Leasrning Opportunities with Salary

✅How to learn AI and ML roadmap?
Learn AI and ML by starting with the basics of machine learning, understanding key algorithms, and mastering essential programming languages like Python. Dive into data preprocessing, model evaluation, and advanced topics like deep learning. Apply your knowledge through practical projects and stay updated with industry trends to excel in 2024.

✅Does AI and ML have a future?
Yes, AI and ML have a promising future. They are revolutionizing industries with advancements in automation, predictive analytics, and intelligent decisionmaking. As technology evolves, their applications in healthcare, finance, transportation, and more will continue to expand, driving innovation and efficiency globally.

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➡ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.


✅ Key Features

Add the IBM Advantage to your Learning
25 Industryrelevant Projects and Integrated labs
Immersive Learning Experience
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✅ Skills Covered

ChatGPT
Flask
Matplotlib
django
Python
Numpy
Pandas
SciPy
Keras
OpenCV
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