La Paz, Machine Learning

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Saturdays AI

La Paz

Learn Artificial Intelligence with us!

When: July 6

where:Online

Programa: Machine Learning 3rd edition

: 150 USD / Bs. 1050

120 USD / Bs. 840

113 USD / Bs. 791 (Promo valid until 06/27)

105 USD / Bs. 735

Registrations

Course structure:

Code2Learn

During the first half of the program you will learn the fundamentals of Machine Learning with practical programming exercises. In addition, our AI-specialized mentors will share their experiences and success stories.

Build2Learn

In the second half of the program you will be ready to create your own AI models applied to solving specific problems and our mentors will support you throughout their construction.

Demo Day

At the end, the projects that were carried out during the program will be presented. A DemoDay to share your achievements!

Agenda:

Neighborhood-Based

Methods

We will start with basic concepts with Machine Learning. Then we will start with supervised Machine Learning looking at the first Machine Learning methods: K Nearest Neighbors, K-D trees. We will also review the Netflix case.

Tree-Based

Methods

We will continue with the different methods based on decision trees: Decision Trees, Regression Trees, Classification Trees. We will review CHAID, CART.

Ensemble

Methods

We will use Ensemble Methods to combine models and produce better results. We will review Boosting(Adaboost, Stochastic Gradient Boosting), Bagging(Random Forest).

Linear and Non-linear

Methods

We will complete the supervised Machine Learning phase by reviewing Linear Return, Logistic Return, Shrinkage Methods and Support Vector Machines

Dimensionality

Reduction

We will begin the unsupervised Machine Learning stage with dimensionality reduction. We will look at Principal Component Analysis, Linear Discriminant Analysis and t-SNE.

Clustering

Methods

We will set the stage of Machine Learning unsupervised with the methods of clustering. We will see K-Means Clustering, Hierarchical Clustering, DBSCAN.

Advanced

Topics

We will review the introduction to Deep Learning and Natural Language Processing.

Cloud for

Machine Learning

Cloud foundations and use of Amazon Web Services for the deployment of Machine Learning models.

Project

Artificial Intelligence

In this module we will teach topics about project development. Students will develop a project applying what they learned in the program to present it at the Demo Day.

Demo Day

At the end, the projects that were carried out during the program will be presented during the program. A Demo Day to share your achievements!

Equipment:

Fernando Silva 🇧🇴

Lead Saturdays AI La Paz

Fernando is a Systems Engineer with a postgraduate degree in Artificial Intelligence from the University of Chile, he has been in the area of Artificial Intelligence since 2019. He started as a Python and Machine Learning mentor under the coordination of the Cultural Center of Spain. He worked in banking as a Machine Learning Engineer, where he implemented models. Currently conducting research at the Catholic University of Bolivia in the area of Reinforcement Learning. He has participated and won in several contests, the most notable being first place in one of the categories of the Facebook F8 hackathon in Silicon Valley in 2019. At the same time, he has been a leader of communities with the aim of democratizing Artificial Intelligence, among these communities: GDG Android Bolivia, Data Science Bolivia, PyData La Paz, Kaggle Days La Paz. He currently has a Computer Vision startup and serves as an ambassador for deeplearning.ai by Andrew Ng with his Pie & AI program.

Danna Calle

Fernandez 🇧🇴

Agile Methodologies, UX/VR

Active volunteer lifestyle for more than 7 years in differents non profit organizations. She has been selected as 1 to 140 social entrepreneurs people around the word for participate of the program Global Entrepreneur summer school in Mexico, and the next year she got an scholarship for participate in the High Impact entrepreneurship Program in New York. She won in both programs the first place with two social tech projects for farmers and child with TDH. Actually she is founder and co founder of aurorasoft, qhali, iris360grados and human design group. Graduated of Commercial Engineering, Minor of brand creation at Catholic University and studying a digital business master. She likes to share her experiences and knowledge giving talks about topics of agile, tech, management,social entrepreneurship and gender. She is proactive and worry to solve problems of her community as she demonstrated participated in many contexts of startup weekends, hackathons, and won five times the first place on them. she believes the key is work with a multidisciplinary teams and see in perspective, for truly understand with empathy the segment of people as a human first.

Mercè Vintró Ricart 🇪🇸

NLP Data Scientist

Mercè is a Senior Computational Linguist in the Data Science R&D team at Shell. She graduated in Translation and Interpreting from the Pompeu Fabra University (Barcelona) and has a master's degree in Speech and Language Processing from the University of Edinburgh. Before joining Shell, Mercè worked in the London startup community as an R&D engineer specializing in Natural Language Processing (NLP), focusing on solving real-life problems related to human language. Since joining Shell in 2018 Mercè has led the development of NLP capabilities in Shell's Digital Center of Excellence. He has also contributed to several projects centered around Machine Learning and Deep Learning for NLP. In his free time he enjoys traveling, horseback riding and playing the piano.

Federico dos Reis 🇦🇷

Data Scientist, Physicist

Physical in data science. Machine learning engineer in market Ads. I was a teacher at the University of Buenos Aires, doctoring CONICET.

Danna Calle

Fernandez 🇧🇴

**Stanley

Salvatierra Berrios 🇧🇴

Data Engineering, Data Science

Stanley Salvatierra studied electrical engineering, he is currently CTO and co-founder of the startup deepmicrosystems.com. Where he works on solving problems in computer vision and natural language processing. In 2019 he was chosen as Innovator under 35 by the MIT tech review for his work in artificial vision within his startup.

Sign up right now!

Registration from June 14 to July 4

Course duration: July 6 – August 21

Monday, Tuesday and Saturday

Modality: Online

Schedule: Monday (21:00 – 22:00), Tuesday (18:00 – 21:00), Saturday (09:00 – 12:00) UTC – 4 (Bolivian time)

Includes internationally endorsed certificate with hourly charge!

120 USD / Bs. 840

113 USD / Bs. 791

105 USD / Bs. 735

AI Saturdays La Paz Machine Learning

Download our brochure for more detailed information on our Machine Learning program.

Learn about the program in detail

Frequently asked questions and answers

Does the program include a certificate?

Yes! At the end of the classes, the students who carry out the project on the Demo Day will receive an internationally endorsed certificate with a charge of hours.