E-commerce Mastery: Start & Grow Your Online Store
Kilian Murphe
4.5
English
233 Students Enrolled
Data Science and Analytics
Wishlist
Share CourseE-commerce Mastery: Start & Grow Your Online Store
4.5
English
233 Students Enrolled
WishlistShare CourseWhat will I learn?
Overview of the development of AI and ML, including key milestones and breakthroughs
Techniques like linear regression, logistic regression, decision trees, and support vector machines
Introduction to neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced architectures like transformers
Use of Python libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
Hands-on projects to build models, analyze data, and solve specific problems
Course Content
Foundations of AI and Machine Learning
Ethical and Societal Implications
Programming Skills
Research and Trends
About Course
1 - Custom course module
This course provides a comprehensive introduction to the fields of artificial intelligence (AI) and machine learning (ML). It covers foundational concepts, key algorithms, practical applications, and ethical considerations. Through hands-on projects and real-world examples, you will gain the skills needed to develop, evaluate, and deploy AI and ML models.
2 - Professional sound and videos
Your content and sound will be crystal clear with professional recording and 4K video quality, ensuring nothing is missed!
3 - Subtitles
Incorporating subtitles ensures inclusivity, improves viewer engagement, and extends the reach of video content across diverse audiences.
4 - Certifications
Achieve professional recognition and validate your skills with certification. Certification signifies mastery and expertise in your field, providing tangible proof of your capabilities to employers and clients alike. It enhances career prospects by demonstrating dedication to continuous learning and proficiency in industry standards.
- Overview of the development of AI and ML, including key milestones and breakthroughs
- Techniques like linear regression, logistic regression, decision trees, and support vector machines
- Introduction to neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced architectures like transformers
- Use of Python libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
- Hands-on projects to build models, analyze data, and solve specific problems
Requirements
- Ability to install and run design tools like Figma, Adobe XD, or Sketch.
- A strong interest in learning user experience and interface design principles.
- While helpful, no prior experience in UX/UI design is necessary; the course is designed to accommodate beginners.
4.7 Course Ratings
5 Rated this course
Taking the courses has significantly boosted my skills and confidence. The flexibility to learn at my own pace and the high-quality content have been a game changer for my career.
Kilian Murphe
14 June, 2024
Taking the courses has significantly boosted my skills and confidence. The flexibility to learn at my own pace and the high-quality content have been a game changer for my career.
Kilian Murphe
14 June, 2024Taking the courses has significantly boosted my skills and confidence. The flexibility to learn at my own pace and the high-quality content have been a game changer for my career.
Kilian Murphe
14 June, 2024Taking the courses has significantly boosted my skills and confidence. The flexibility to learn at my own pace and the high-quality content have been a game changer for my career.
Kilian Murphe
14 June, 2024
$90 $50
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30-Day Money Back Guarentee
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