Machine Learning, Pattern Recognition & Applied Statistics with Python

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this course, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

This course is designed to give you in-depth knowledge of Machine Learning concepts including the essentials of statistics required for Data Science, Python programming, and Machine Learning. Through these AI courses, you will learn how to use Python libraries like NumPy, SciPy, Scikit-learn, and essential Machine Learning techniques, including supervised and unsupervised learning.

• Introduction 1:04:49

  • 1: Introduction Video Preview 00:43
  • 2: Introduction Preview 09:40
  • 3: AI & Applications 42:37
  • 4: AI & ML Refresher 11:49

• Pattern Recognition & Machine Learning 35:31

  • 5: Pattern Recognition 13:30
  • 6: Machine Learning 22:01

• Supervised & Unsupervised Learning and Industry 4.0 3:06:32

  • 7: Supervised & Unsupervised Learning 1:05:47
  • 8: Industry 4.0 1:02:05
  • 9: Types of AI,ML simplified, Python Introduction 58:40

• Python Programming & Presentations 5:00:41

  • 10: Part 1 56:37
  • 11: Part 2 1:03:12
  • 12: Part 3 59:13
  • 13: Part 4 1:03:37
  • 14: Part 5 58:02

• Applied Statistics, Decision Trees and Final Presentations 12:33:54

  • 15: Part 1 59:58
  • 16: Part 2 57:07
  • 17: Part 3 1:02:38
  • 18: Part 4 59:00
  • 19: Part 5 53:12
  • 20: Part 6 1:04:54
  • 21: Part 7 57:03
  • 22: Part 8 1:04:49
  • 23: Part 9 1:01:33
  • 24: Part 10 57:02
  • 25: Part 11 55:39
  • 26: Part 12 1:00:45
  • 27: Part 13 40:14

• Interns Presentations 10:04

  • 28: Presentation 1 03:35
  • 29: Presentation 2 03:23
  • 30: Presentation 3 03:06

1. You will learn insights on Machine Learning and Artificial Intelligence concepts
2. You will understand the Math behind the Artificial Intelligence solutions
3. You will learn Time series and simple linear regression
4. You will learn Multiple & Logistic regression
5. You will learn decision tree & other advanced algorithms
6. You will work on an AI project using the AI & ML concepts learnt using this course
7. You will understand the theory behind Artificial Intelligence
8. Learn where AI and Machine learning algorithms are used today

1. Students and Professionals interested in Artificial Intelligence and Machine Learning
2. Professionals who just started their career as Data Analysts and are keen to learn more
3. Students who are passionate about Artificial Intelligence and Machine learning and its applications

General awareness of Artificial intelligence and Machine learning and enthusiasm to learn the applications. Faculty will help in Python Installation

Data Analyst, Machine Learning Programmer, Python Programmer with salary bands of

£35,000 - £55,000 per annum

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Reed courses certificate of completion

Digital certificate - Included