Machine Learning and Artificial Intelligence For Managers
Everything you need to know as a manager to understand machine learning and A.I. processes and products.
Watch Promo Let 's go- Self-Paced Content
- Real Use Cases| Case Based Learning.
- Content Curated from Silicon Valley Product Specialists, that have executed several projects
- All Entry Levels, ideal for non-technical or technical managers with no previous machine learning education.
- Includes 4 hours of video classes and quizzes.
- Forever access, anywhere anytime.
- This course saves you 4-6 months of education and work experience.
- Certificate of Completion
This course is a unique introduction to machine learning and artificial intelligence for managers.
The course covers both machine learning basic algorithms used in a variety of industries from finance to marketing as well as the most recent development in Artificial Intelligence (e.g. deep learning and unsupervised learning).
This a unique content that does not require math and coding, however provides the student with an in depth understanding of current A.I. and Machine Learning techniques, so the student can confidently discuss product, process ad strategic decisions with all stake holders.
Each algorithm is explained from an application stand point, so that the student can acquire a practical and ready to use know how.
So, you can start providing value to your organization right away.
Particularly we teach you what inputs it requires, what processes are necessary for it to learn and when it is best used.
By learning through this approach, you will become able to sustain conversations with your technical counterparts and become an effective business driver od AI and Machine Learning Projects in your company.
Furthermore, the course always compares performances between algorithms in different real-life scenario, so that you can start forming an idea of when it is convenient to use on approach rather than another.
This will reinforce your ability to provide value quickly and will set you for a leading role in the long run.
The course, also helps you understanding the process of develop an algorithm and what operations and costs are associated with it.
So that you can start evaluating the actual complexity of a project and take a privileged sit at the decision makers table.
The only wrong investment you can make is not to take this course.
In fact, gaining the level of operational proficiency that this course will give you in 4 hours investment is comparable to 4-6 months saved in technical education and work experience.
Get started now!
Your Instructor
I am Paolo, although I was born and raised in Italy I live in Silicon Valley, California! I am single and my family still lives in Italy. I am a scientist with an MBA. I have lived on 3 continents and over 18 cities in the last 18 years and that is really a long story to tell…
I consider myself a cultural hybrid of the three countries that have hosted me the longest, USA, Italy and Germany. I love to tell people that:
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I am as creative as Michelangelo,
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as precise and obsessed about processes as a German Engineer,
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forward-looking and think big like American Pioneers!
Whatever reality is, the cultures of these three lovely countries have left their mark on who I am today.
Product and process innovation are at the core of what I have been doing for years. My unique perspective is to combine science, all the way from universities and research labs, to engineering, product, and digital marketing! That’s where my passion is today.
With Innodemia, I want to share that passion with the world and possibly help those who are taking this journey in tech-driven innovation to make fewer mistakes than I have and possibly do it a bit faster.
Most importantly, I want to simplify the cryptic and complex language of science and engineering and making innovation more accessible to the largest number of diverse players.
Course Curriculum
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PreviewIntroduction (0:39)
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StartArtificial Intelligence, Machine Learning and the process overview (17:03)
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StartUnderstanding the machine learning process Part-1 (11:17)
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StartUnderstanding The Machine Learning Process Part-2 (12:54)
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StartUnderstanding the machine learning process Part-3 (11:41)
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PreviewSupervised Learning: Regression Part-1 (7:31)
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StartSupervised Learning: Regression Part-2 (19:03)
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StartSupervised Learning: Introduction to Classification (8:26)
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StartSupervised Learning: Classification with KNN (6:53)
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StartSupervised Learning: Classification: Logistic Regression (14:35)
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StartSupervised Learning: Logistic Regression Advanced Topics (6:02)
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StartSupervised Learning: Classification: Support Vector Machines (14:15)
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StartSupervised Learning: Classification: Decision Tree (14:55)
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StartSupervised Learning: Classification: Random Forest (7:49)
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StartHow to select the proper algorithm to solve a machine learning problem (3:48)
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StartA recipe to select the proper algorithm (3:53)
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StartWhy we need the Deep Learning Technology (3:50)
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StartSupervised Learning: Deep Learning Fundamentals (22:08)
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StartBridging Artificial Neural Networks with Deep Neural Networks (4:22)
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StartSupervised Learning: Convolution Neural Networks (22:50)
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StartSupervised Learning: Recurring Neural Networks. (16:20)
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StartUnsupervised Learning: Intro and clustering methods (12:33)
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StartUnsupervised Learning: Principal Component Analysis (12:59)
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StartAdditional Readings
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StartCourse Slides