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Overall Score : 72 / 100

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Course Description

Artificial Intelligence is becoming progressively more relevant in today's world. The rise of AI has the potential to transform our future more than any other technology. By using the power of algorithms, you can develop applications which intelligently interact with the world around you, from building intelligent recommender systems to creating self-driving cars, robots and chatbots. Machine learning is one of the most important areas of Artificial Intelligence. Machine learning provides developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. It can be applied across many industries to increase profits, reduce costs, and improve customer experiences. In this course I'm going to provide you with a comprehensive introduction to the field of machine learning. You will learn how to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. Also i'm going to offer you a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics. You'll discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. In addition you'll learn how to drive innovation by combining data, technology and design to solve real problems at an enterprise scale. This course is focused on helping you drive concrete business decisions through applications of artificial intelligence and machine learning. It makes the fundamentals and algorithms of machine learning accessible to students in statistics, computer science, mathematics, and engineering. This means plain-English explanations and no coding experience required. This is the best practical guide for business leaders looking to get true value from the adoption of machine learning technology.Who this course is for:
  • Developers
  • Technology consultants
  • Engineers
  • Computer scientists
  • Statisticians

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Instructor Details

Grid Wire

Welcome to GridWire. Here you will find courses on many topics including: Data Science, Machine Learning, DevOps, Sales, Marketing and Business.
About me: I have been a freelancer for almost 10 years now and I am making my living out of it. I love teaching my skills to other people and wish to get better at doing it. I enjoy sharing my knowledge and I always try to make it easy to understand to absolutely anyone. I hope you will find my courses insightful and valuable.

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Reviews

3.6

90 total reviews

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Sometimes a bit difficult to follow due to the accent and the transcript is really bad. NO documentation to download which for this theme wold be helpful as its a high level and many of us might need to read it again to let it sink.

can't understand the accent at all, even the transcripts are erroneous to read, had to waste a lot of time to go back and forth to learn all.

Oui ce cours m'a permit d'avoir une notion encore plus vaste du Machine Learning.

I'm really glad that I bought this course. It explains many aspects that I had struggled with and couldn't find covered well in other courses. Great job by the instructor!

Outstanding course for bringing non-computer scientists and non-mathematicians into the field. If you are looking for a comprehensive introduction to machine learning, this is a good place to start.

I didn't have any prior knowledge about machine learning, but after watching I got some idea about it. It was a very good experience

Well, I think the course was good but the voice of the narrator wasn't pretty good and it would be helpful if someone else with clear voice explains the course

Good introductory course to M/c learning algorithms. The accent of the author is sometime a bit difficult to follow otherwise it is nice and crisp

I am unable to understand the course instructor's accent. It's fast and robotic.

Der Titel sagt "Learn Machine Algorithms", which actually did not happen. This was only an overview of what Machine Learning means and how it ist applied in different areas, an nothing more.

This course is very well made and comprehensive. I enjoyed how it covered a lot of the theory of machine learning in an easy to understand language.

This course is very well made and comprehensive. I liked how it covered a lot of the theory of machine learning in an easy to understand language.