Introduction to AI and ML

Introduction to AI and ML

von Analytics Vidhya Educon Private Limited

  • Kategorie: Education
  • Veröffentlichung: 2020-09-30
  • Aktuelle Version: 1.0
  • Alterseinstufung: 4+
  • Dateigröße: 23.96 MB
  • Entwickler: Analytics Vidhya Educon Private Limited
  • Kompatibilität: Lauffähig ab iOS 10.0 oder neuer.

Beschreibung

Welcome to the World of Artificial Intelligence and Machine Learning! The AI revolution is here - are you prepared to integrate it into your skillset? How can you leverage it in your current role? What are the different facets of AI and ML? Analytics Vidhya’s Free ‘Introduction to AI and ML’ course, curated and delivered by experienced instructors with decades of industry experience between them, will help you understand the answers to these pressing questions. Artificial Intelligence and Machine Learning have become the centerpiece of strategic decision making for organizations. They are disrupting the way industries and roles function - from sales and marketing to finance and HR, companies are betting big on AI and ML to give them a competitive edge. And this, of course, directly translates to their hiring. Thousands of vacancies are open as organizations scour the world for AI and ML talent. There hasn’t been a better time to get into this field! Key Takeaways of the Introduction to AI & ML Course You will learn the current state of AI and ML, how they are disrupting businesses globally Solid understanding of what AI and ML mean, what they represent in the current market and industry, how they work, and why you should learn about them. What do I need to start with Introduction to AI & ML course? A working Internet connection Curiosity about Artificial Intelligence and Machine Learning This is all it takes for you to start your journey in Artificial Intelligence and Machine Learning What are you waiting for? Course Content Module 1: Introduction to AI and ML - What is AI&ML? - Types of ML - When to Apply AI&ML - Recent AI Uprising - How the world is Changing? - Building Blocks of AI and ML Module 2: Common Terminologies, Tools and Techniques - Common Terminologies - Common Data Capturing Types and Tools - Common Tools - Common Techniques - Common Techniques - Part1 - Common Techniques - Part2 Module 3: Skills required to become a data science professional - Skills Required in Data Science - AI and ML Black Belt+ - Where to Go from here!! In short, this course will give you a great introduction to the field of AI and ML

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