"BASIC MATHEMATICS" COURSE
3 months / 14 sessions / certificate
starts June 15 / price from 24.900 rubles
Book minimum price
starts June 15 / price from 24.900 rubles
Book minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
"BASIC MATHEMATICS" COURSE
3 months / 14 sessions / certificate
starts June 15 / price from 24.900 rubles
Book minimum price
starts June 15 / price from 24.900 rubles
Book minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
Course objectives
- 1Master basic mathematicsIf you do not have a technical education, you can quickly get the necessary knowledge.
- 2Remember basic mathIf you already have a technical education, but you have forgotten mathematics, you can easily remember what is needed.
- 3Better prepare to mastering neural networksAlthough knowledge of mathematics is not mandatory, it will greatly help you create neural networks more efficiently.
- 4Learn the basics of mathematics for data scienceThe knowledge of basic mathematics will be useful not only for writing neural networks, but also for the wider field of data science.
Training format
- 30 mini-sessionsYou will have 30 video tutorials of 15-20 minutes on basic math required for neural network creation and programming.
- 30 practical tasksAfter each lesson you will get a practical task
- 3 months of curator supportDuring the week, you will be able to ask any questions about base math and how to perform tasks to your tutor in the common chat.
Training program
Contents:
- One-dimensional vectors and two-dimensional matrices
- Operations on one-dimensional vectors
- Matrix operations
- Matrix transposition, inverse matrices
- Matrix cycles
Contents::
- One-dimensional functions
- Multivariate functions and surfaces
- Local and global lows and highs
- Derivatives
- Interpolation and extrapolation of functions
Contents:
- Random values
- Probabilities of events
- Random value distributions
- Quantiles and percentiles
- Visualization of random distributions
Contents:
- Formulas of planes and spheres
- Linear separability
- Radial separability
Contents:
- Fundamentals of combinatorics
- Binary variables and binary operations
- Multiple operations
- Metric spaces. Distances and closeness measures
Contents:
- Discretization and quantization
- Spectrum, Fourier transform.
- Frequency filters
Contents:
- Graph structure
- Shortest way on the graph
- Trees
Apply for course
Book a course and get one course as a gift
Apply and our manager will call you back
By clicking the button, I consent to the processing of personal data and agree to the privacy policy
Certificate
We issue a certificate of course completion
University license
Course teacher
Gerard Kostin
✓ Extensive experience in solving problems using ML methods in the following areas:
- telecommunications
- banking sector
- internet service providers
- industrial firms
- e-commerce.
✓ Practical experience of working with big data (clusters from 5 Pb).
✓ During his career in the field of Data Science he launched this direction from scratch in such companies as MTS and Rostelecom.
✓ Worked with US Silicon Valley and EU companies.
- telecommunications
- banking sector
- internet service providers
- industrial firms
- e-commerce.
✓ Practical experience of working with big data (clusters from 5 Pb).
✓ During his career in the field of Data Science he launched this direction from scratch in such companies as MTS and Rostelecom.
✓ Worked with US Silicon Valley and EU companies.
Marat Khaidarov
✓ Technical education: Engineer of automated information processing and control systems;
✓ Additional education: "Neural Networks and Deep Learning", Coursera;
✓ Experience: Senior SCM Analyst; Logistics Supervisor at Ford Sollers Holding - more than 5 years (tasks: predictive analytics, process automation and optimization, assessment and improvement of key metrics of the department);
✓ At the University of Artificial Intelligence worked in the following areas: classification of texts, generation of texts (chat bots), object recognition, speech recognition, training with reinforcements, networks with attention.
✓ Additional education: "Neural Networks and Deep Learning", Coursera;
✓ Experience: Senior SCM Analyst; Logistics Supervisor at Ford Sollers Holding - more than 5 years (tasks: predictive analytics, process automation and optimization, assessment and improvement of key metrics of the department);
✓ At the University of Artificial Intelligence worked in the following areas: classification of texts, generation of texts (chat bots), object recognition, speech recognition, training with reinforcements, networks with attention.
Photos from our events
We regularly hold both offline classes and conferences
Apply for course
Frequently asked questions
Machine training is not required, everything will be dealt with from scratch.
Python requires a basic knowledge of the language, but we give this course as a gift "Python for data analysis", so it will have everything you need. You will only need to take the first 2-3 lessons to understand the machine learning course.
Python requires a basic knowledge of the language, but we give this course as a gift "Python for data analysis", so it will have everything you need. You will only need to take the first 2-3 lessons to understand the machine learning course.
Everyone can take the course, regardless of their current profession.
However, in general, it will be most useful for programmers, data scientists, those who work with neural networks, analysts (business analysts, financial analysts, marketing analysts, etc.), HR specialists in the IT field, IT managers and entrepreneurs, as well as those engaged in various research.
However, in general, it will be most useful for programmers, data scientists, those who work with neural networks, analysts (business analysts, financial analysts, marketing analysts, etc.), HR specialists in the IT field, IT managers and entrepreneurs, as well as those engaged in various research.
Yes, basic Python knowledge is required for this course, but you can get the "Python for Data Analysis" course as a gift and get ready before the course starts. As soon as you pay, we will enroll you in the Python course.
No math knowledge is required, we will give you all the necessary mathematics during the course.
Yes, the whole course is built remotely, moreover, you can watch the lessons on record, we specially build the course so that you can study anytime and anywhere.
In order to obtain a certificate, you will need to submit all the training assignments, preferably before the course is completed, but you can also do so some time after the course is finished.
Yes, many of our course participants are paid by the company, we can prepare a KP for your management.
Yeah, we have installment payment system from a few banks with no interest or down-payment.
Our manager will answer any questions about the course
- Artem Voronov-GashevCustomer service managerEmail: info@neural-university.ru
Phone: +7 (499) 648-67-44
Whatsapp/viber/telegram:
+7(918) 916-41-84
"BASIC MATHEMATICS" COURSE
3 months / 14 sessions / certificate
starts June 15 / price from 24.900 rubles
Book minimum price
starts June 15 / price from 24.900 rubles
Book minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
"BASIC MATHEMATICS" COURSE
3 months / 14 sessions / certificate
starts June 15 / price from 24.900 rubles
Book minimum price
starts June 15 / price from 24.900 rubles
Book minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.