0️⃣1️⃣ Scientific Specialization: my roadmap and path

Roadmap and path for business & Scientific Specialization, realized with maximum respect of Code of Conduct and scientific attitude (hypothetical spirit, experimentalism and criticism).

Interested AREA: AI/ML. From employers to build today’s in-demand skills, it’s important to define an area where express our best scientific contribution. I’m trying to learn and stay connected on abroad and robust understanding of computer science throwgh AI/ML principle. So, how to design intelligent systems, how to use AI in programs, using graph search alg and reinforcement learning…That’s one of the thing I like most.

(ndr. For best assurance, take a look at my Linkedin. This page could be under update)

0. A Scientific Approach to Innovation Management (Prof.A. Gambardella, Università Bocconi)

Certified: Sept 2020

Time commitment: approx. 5 weeks long

Number Coursera : INSERT NUMBER PASSED VERIFICATION

1. Analyzing and Visualizing Data with Power BI

Certified: 10/09/2020

Time commitment: 4 weeks long

Number edX: 3703dde71e874abc99534f43a25a2ff1

2. AI School Microsoft

https://aischool.microsoft.com/en-us/profile

3. AI IBM Training Program

From IBM CLOUD: https://www.youracclaim.com/users/francesca-capochiani/

Check it out: https://courses.cognitiveclass.ai/

3.1 AI Applications with Watson

4. PH125.2x: Data Science: Visualization

Certified: 21/09/2020

Time commitment: 4 weeks long

Number edX: 72857edb91de47fe91d69c50fa34fe14

Plus – Statement of accomplishment DataCamp

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(Coming soon):

n. Implementing Predictive Analytics with Spark in Azure HDInsight
n. Principles of Machine Learning

 

Regards

Francesca