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Bevorstehende Events (5)
This is a great opportunity to jump into a data science career. We are offering a boot camp to prepare you a data analyst position. This boot camp is for non-coders who are interested in learning data science or those who have a technical background although are not familiar with the fundamentals of data science. The course will teach you the fundamental skills of Python, SQL, Statistics and an introduction to machine learning. During our course, you will explore a hands-on experience that will ignite your enthusiasm and confidence to learn data analytics. Visit our website to learn detailed information about this boot camp. https://magnimindacademy.com/all-courses/data-science-prep/ Fee: Data Analysis with Python Course has a $599 tuition fee. For the “Super Early Bird” applicants (August 27 – September 9) the tuition fee is $399. For our “Early Bird” applicants (September 10 – September 17), the tuition fee is $499. Schedule: September 22 – 29 and October 6 – 13 Sundays, from 9:00 am to 2:00 pm What You’ll Learn in these 20 hours? 1- Python Explore fundamental data types such as strings, booleans, lists, and dictionaries. Learn how to create and organize your code into a clean and professional flow. Learn to analyze data and grow skills to become a data analyst. 2- SQL Discover how databases are structured, how to add and remove data from a database, and how to query a database, as well as, answer questions using aggregations and joins. 3- Probability and Statistics Model real data using common probability distributions and learn how to infer properties during the data generating process. 4- Data Visualization Most importantly, explore python libraries, tools, Pandas, Numpy, and Matplotlib. Application: We have 20 people attendee limit for this mini boot camp. You can apply through Eventbrite, https://www.eventbrite.com/e/data-analysis-with-python-4-days-20-hours-tickets-70546970889 or, our website to apply and pay. https://magnimindacademy.com/all-courses/data-science-prep/
We have another exciting AI meetup. Our speaker Aaron Edell says that: After selling my machine learning startup Machine Box to Veritone, Inc. in 2018, I've had a chance to reflect, research, and experience where and how businesses are spending their money on ML. This talk is to share my experience navigating the business of applied machine learning, where we saw the most adoption and financial success, and where I would turn my attention to next. Agenda: 5:50 pm - 6:00 pm Arrival and socializing 6:00 pm - 6:10 pm Opening words 6:10 pm - 7:10 pm Aaron Edell, "The future of practical AI" 7:10 pm - 7:30 pm Q&A About Aaron Edell: Aaron Edell is a veteran speaker and writer on the topics of machine learning, metadata, and content management. He was the co-founder and CEO of Machine Box, Inc., an award-winning startup that builds production-ready machine learning models that anyone can integrate, deploy and scale which was acquired by Veritone in September of 2018. Previously, he helped found and grow Graymeta, Inc., a machine learning and metadata company. Prior to that Edell was at Oracle, Front Porch Digital, Neulion, and SAMMA Systems in various roles from senior solutions architect to product manager. Aaron has published papers on metadata and machine learning and consulted major media and entertainment companies on content management since 2005.
We have another exciting Data Science meetup. As companies collect more and more data, there is a growing need for trained professionals to build models out of those data: humans, however, are costly and do not scale too well. On the opposite side of the spectrum, tools for automated data analysis promise to do everything with one click; in reality, they are often just a list of pre-compiled models, with huge variance in accuracy and interpretability. In this talk, we will try to find some middle ground by taking a fresh look at "symbolic regression", i.e. the idea that you can fit arbitrary datasets by evolving a population of mathematical expressions until you find something that fits data well enough. Instead of taking the standard optimization route provided by genetic algorithms, we will borrow ideas from probabilistic programming to build a small "robot scientist" with webPPL: if mathematics is a language, why can't we use ideas from natural language processing to explore the space of expressions? Agenda: 5:50 pm - 6:00 pm Arrival and socializing 6:00 pm - 6:10 pm Opening 6:10 pm - 7:10 pm Jacopo Tagliabue, "(Robot) Data Scientists as a Service" 7:10 pm - 7:30 pm Q&A About Jacopo Tagliabue: Jacopo Tagliabue was co-founder and nerd in chief at Tooso - a Gartner “Cool Vendor” company that was acquired in 2019 by world search leader Coveo. Before Tooso, he has been a Best & Brightest fellow at the Santa Fe Institute and led the Data Science team of AxonVibe in New York. In previous lives, he managed to get a Ph.D. in Cognitive Science (UNISR/MIT), do sciency things for a professional basketball team, simulate a pre-Columbian civilization and give an academic talk on video games (among others improbable "achievements"). His research and industry work has been featured several times in international conferences and the general press.
Are you interested in finding jobs in Machine Learning or would you like to gain a new set of technical skills? This Bootcamp is for you! Professor Yasin Ceran with his valuable years of experience in understanding and modeling data has meticulously designed this Bootcamp. Our goal is to get you started in your career path and then prepare you for interviews. We will walk you step-by-step into the Machine Learning – ML – realm and provide you with all the fundamentals of ML including linear regression, logistic regression, supervised and unsupervised learnings, decision trees and so on. With every session, you will develop new skills and improve your understanding of ML while you practice with small projects and homework. We will also provide mentorship and feedback to make your learning easier. Visit our website to learn detailed information about this boot camp. https://magnimindacademy.com/all-courses/fundamentals-of-machine-learning/ Fee: Our Fundamentals of Machine Learning Course has a $599 tuition fee. For the “Super Early Bird” applicants (September 10 – September 18) the tuition fee is $399. For our “Early Bird” applicants (September 19 – September 27), the tuition fee is $499. Schedule: October 5 – 12 – 19 – 26 and November 2 Saturdays, from 3:30 pm to 7:00 pm What You’ll Learn in these 17 hours? 1- Data Preprocessing 2- Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression 3- Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification 4- Clustering: K-Means, Hierarchical Clustering Application: We have 20 people attendee limit for this mini boot camp. You can apply through Eventbrite, https://www.eventbrite.com/e/fundamentals-of-machine-learning-mini-bootcamp-5-days-17-hours-tickets-72333317901 or, our website to apply and pay. https://magnimindacademy.com/all-courses/fundamentals-of-machine-learning/