Launch Announcement — Second Russian Course — 11-Hour Comprehensive Course in Artificial Intelligence, Deep Learning, Data Science, Data Analysis, and Machine Learning
We’re excited to announce that the 11 Hour Course in Artificial Intelligence, Deep Learning, Data Science, Data Analysis, and Machine Learning is now live!
As part of our global initiative, Octavia, we’re proud to make our courses available worldwide. In countries like Russia, Armenia, Ukraine, and Georgia — and soon many others — our partners and we have developed Octavia, a groundbreaking program that allows anyone to translate hours of video content into any language with second-level precision. What once seemed impossible is now a reality, thanks to the power of AI, machine learning, and collaborative innovation.
Learn AI and machine learning with this comprehensive beginner course in Python. This isn’t just a short introduction — it covers everything from the fundamental concepts to advanced deep learning algorithms and data science techniques. You’ll dive into real-world case studies, including recommendation systems and predictive analytics, ensuring that you not only grasp the theory but also apply your skills in practice.
What You’ll Learn
- Python Fundamentals: For data analysis and building AI models.
- Machine Learning Essentials: Including key concepts, classification, and regression algorithms.
- Deep Learning Techniques: Principles and methods to solve complex challenges.
- Data Science Applications: Practical insights into analyzing and interpreting large datasets.
- Real Case Studies: Understand how models are built and optimized in real-life scenarios.
- Career Guidance: Tips on launching a startup, preparing for interviews, and building a career in Data Science.
Course Highlights
- Step-by-Step Guidance: Thorough explanation of theory combined with practical examples.
- Project-Based Learning: Hands-on projects using Python and popular AI libraries.
- Interactive Assignments: Practical exercises and home projects to reinforce your learning.
- Expert Advice: Industry insights to help you succeed in the tech world.
This course is perfect for beginners and anyone looking to master modern artificial intelligence technologies, gain practical experience, and confidently kickstart a career in machine learning and data science.
Timestamps:
- (00:00:00) Introduction
- (00:00:02) Machine Learning Roadmap for 2024
- (00:49:53) ML Basics (Supervised vs. Unsupervised, Regression vs. Classification)
- (01:05:10) Machine Learning Bias-Variance Trade-off
- (01:12:22) Machine Learning Overfitting Regularization
- (01:41:11) Machine Learning Linear Regression Model
- (01:48:15) Machine Learning Linear Regression Model As a Prediction Model
- (02:04:41) Top 10 Machine Learning Algorithms
- (03:50:28) Data Analysis: Superstore Data Analytics Project
- (05:11:29) Machine Learning Linear Regression Case Study
- (07:11:16) MLOps: Movie Recommendation System
- (07:49:52) Workshop: How to Become a Data Scientist With No Experience
- (08:59:38) Workshop: How to Build A Startup
- (09:26:21) Machine Learning Interview Prep
Enroll now and start your journey into the future of technology!
