Online or onsite, instructor-led live Mathematica training courses in Newcastle.
Newcastle
116 Quayside, Newcastle upon Tyne, united kingdom, NE1 3DY
The Newcastle Quayside Centre is in a prestigious riverside location close to the River Tyne occupying three floors of a f...
The Newcastle Quayside Centre is in a prestigious riverside location close to the River Tyne occupying three floors of a five-storey building with a glass front and modern interior. The views of the famous Tyne Bridge and recently built Millennium Bridge are stunning. The recently restored Baltic Centre for Contemporary Art is directly opposite, next to the Sage Gateshead performing arts and conference centre. The vibrant and energetic city of Newcastle is a modern, attractive and compact location with a strong identity where businesses prosper and people enjoy a quality of life that is second to none. This area is among the most successful in the UK for attracting investment from abroad and is already the preferred location of many Far Eastern and US companies entering the European market. Over 130 investors from 15 countries have chosen to locate in and around the city, joining a business community of over 17,000 companies.
The "Mathematica - wprowadzenie, wizualizacja i prezentacja danych" training is aimed at participants with basic mathematical knowledge. Mathematica, as a powerful mathematical engine, enables effective calculations, creating text documents, building charts and presenting data. Participants will gain practical skills in working with Mathematica, used, among others, in mathematics, physics, biology, financial analysis and other fields.
This instructor-led, live training in Newcastle (online or onsite) is aimed at data scientists who wish to use machine learning in Mathematica for data analysis.
By the end of this training, participants will be able to:
Build and train machine learning models.
Import and prepare data for machine learning.
Separate training data from test data.
Explore deep learning and neural network applications in data analysis.
Introduces the core technologies needed to become an adept user of Mathematica, including the Wolfram Language, the notebook interface, programming fundamentals, visualization and interactivity features, and mathematics and statistics functionality. Small class sizes allow for interaction with the instructor, and in-person courses allow additional time for discussion, exercises, and Q&A.
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