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Introduction to AI, Machine Learning & Deep Learning Essentials is an engaging, hands-on training program designed. Fast-growing, critical technologies are currently shaping the future of IT, development, and analytics.
Unlimited Duration
March 4, 2021
In this course you learn about:
· The What and Why of AI, Machine Learning & Deep Learning – why is this important and exciting?
· Getting the Basics: High-level skills, vocabulary and terminology
· AI, Machine Learning and Deep Learning – what are the differences and uses?
· Latest trends and research
· Who’s Using It and to What Advantage?
· How to adopt AI, ML and DL
· Hands-on Machine Learning – algorithms, neural networks, natural language processing & more
· Tools and Languages: Python, R, Spark, TensorFlow, Keras
· Deep Learning Essentials
Course Curriculum
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- What is Data Science? 00:00:00
- New Ways of Thinking about and using Data 00:00:00
- Challenges of processing 00:00:00
- Technologies 00:00:00
- Strategies 00:00:00
- Where does data science fit in? 00:00:00
- DS ecosystem – AI, Machine Learning, Deep Learning 00:00:00
- Data and the Scientific Method 00:00:00
- Data Science vs. Data Engineering 00:00:00
- Sharing Results with Colleagues 00:00:00
- Recording experiments 00:00:00
- The Data Science Team members 00:00:00
- Data Science Infrastructure 00:00:00
- Current Tools, Trends & Technologies 00:00:00
- Applying Data Science to Your Industry 00:00:00
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- AI – How did we get here? 00:00:00
- Recent advances in data, hardware 00:00:00
- Cutting edge research and applications 00:00:00
- Getting the basics: Core terms and vocabulary 00:00:00
- Who is leveraging this and why 00:00:00
- Overview of ML – what’s the difference? 00:00:00
- Related examples of ML algorithms and applications 00:00:00
- Surrounding tools and technologies: Python and Spark 00:00:00
- What is it, and how is this different than AI and ML? 00:00:00
- Who’s using Deep Learning and Why 00:00:00
- Deep Learning algorithms and applications 00:00:00
- Surrounding tools and technologies: Python, TensorFlow, Keras 00:00:00
- Neural Networks 00:00:00
- Recurrent Neural Networks 00:00:00
- Long-Short Term Memory Networks 00:00:00
- Applying Neural Networks 00:00:00
- Image processing and Identification 00:00:00
- Facial Analysis 00:00:00
- Audio Processing 00:00:00
- Analyzing Streaming Video 00:00:00
- Real-world AV processing 00:00:00
Course Reviews
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