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Machine Learning in English

Enrollment is Open
Duration: 6 months
Стажировка на коммерческом проекте в США

Мы учим владеть AI инструментами. Именно таких специалистов ищут компании.

Помогаем составить резюме и тренируем прохождение собеседований.

Стажировка на реальных проектах в команде.

Где работают наши выпускники

В этих известных компаниях наши студенты работают на фултайм и контракте. А также огромное количество выпускников трудится в сотнях других компаний по всему миру.

Компании выпускников
Получить бесплатную консультацию по карьере
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Средняя зарплата по уровням

Ваш карьерный путь от первой работы до эксперта. Зарплаты актуальны для рынка США на 2025 год.

$0
Обучение и практика
в PASV
$35 000 — средняя американская зарплата
$90 000
Первая работа
1 год
$140 000
Рост
2 года
$180 000
Профессионал
3 года
$250 000 +
Эксперт
4+ года

Reviews from Machine Learning in English course graduates

Students start going through interviews while still taking the course. All our students who start job searching get employed within 1-2 months of searching.

View all testimonials

О профессии

We live in an era of, let's say, a "boom" of digital technologies, where machine learning plays a significant role in ABSOLUTELY different sectors and industries. From finance to entertainment - machine learning allows you to detect patterns, make forecasts, automate decision-making and even create new products!Nowadays, the demand for specialists with knowledge in machine learning is growing significantly. Therefore, obtaining the appropriate skills through special machine-learning courses can be a key step to real success!If you truly desire to understand modern technologies more deeply, Programming Academy in Silicon Valley (PASV) can offer you exactly the machine learning course you need!Dreaming of improving your English and obtaining machine-learning skills? Machine Learning English from PASV is the perfect choice of machine learning course for you! Features of this course, benefits, prospects - you can learn all this and more here!Revealing the main features of the course of machine learningPASV's machine learning course starts on February 3, 2025. In 6 months of learning machine learning, you will receive the following features:Understanding, analyzing + applying machine learning principlesOur machine learning course will provide EVERY participant with the opportunity to understand the basic principles of machine learning, in particular its application to analyzing and measuring uncertainty in processes. Students will be able to apply this knowledge to solve practical problems in the fields of science and technology!Using machine learning to perform image analysis and reconstruction tasksDuring training on our machine learning course, we focus on using machine learning for image processing, which includes object recognition, classification and reconstruction.Solving complex problems using AI and machine learningOur machine-learning classes are focused on helping you learn how to use AI and machine learning to solve real-world problems in various areas of life (such as medicine, logistics, finance, energy, etc.).Modeling and improving human behavior through AIWhen you start learning machine learning with us, you will create programs that learn and improve their performance through feedback and new data, imitating human thought and decision-making processes.Developing solutions to complex problems using AI best practices and machine learning principlesStudents of our machine learning course gain practical skills in data analysis, model selection and tuning, and evaluating their effectiveness.In addition, our course also covers the ethical aspects of using AI, ensuring an understanding of the importance of responsibility when developing and implementing technologies.The opportunity to study together with your partner for one priceIf you are a spouse or a couple and you two want to study with us on our machine learning online course, then you can do it for one price! In addition to being economical, this solution also raises the level of learning! While studying our machine learning course, you can share experiences with your partner and solve problems together. This will definitely make the learning process more effective and interesting!

Что вы получите по окончании

  • Готовое портфолио из реальных проектов, которое можно показать работодателю
  • Поддержка менторов и ревью кода на каждом этапе обучения
  • Стажировка и помощь в трудоустройстве: подготовка к собеседованию и портфолио
  • Сертификат после успешного завершения курса

Кому подойдет этот курс

Программа курса

Introduction to Data Science
Linear Regression & Introduction to “sklearn” library
Simple Linear Regression
Multiple Linear Regression
Linear Regression with categorical variables
Ridge and Lasso Regression
Assignment
Introduction to machine learning
K-Nearest Neighbors & Cross-Validation
Model validation is very simple: after choosing a model and its hyperparameters, we can
estimate how effective it is by applying it to some of the training data and comparing the
prediction to the known value.
This is a naive approach to model validation and why it fails,
before exploring the use of holdout sets and cross-validation for more robust model evaluation.
Stock Market Prediction
Stock price and volatility forecasting
Principal Components Analysis and Regression
PCA is fundamentally a dimensionality reduction algorithm, but it can also be useful as a tool for visualization, noise filtering, feature extraction and engineering, and much more.
Principal Components Analysis
Principal Components Regression
Principal Components Logistic Regression
Visualizing Principal Components Analysis
K-means clustering
The k-means algorithm searches for a predetermined number of clusters within an unlabeled
multidimensional dataset. It accomplishes this using a simple conception of what the optimal clustering looks like: The cluster center is the arithmetic mean of all the points belonging to the cluster.
Classification
We will illustrate the concept of classification using the simulated Default data set.
We are interested in predicting whether an individual will default on his or her credit card payment, on the basis of annual income and monthly credit card balance.
Logistic Regression
Generative models for classification
Generalized Linear Models
Tree based methods
Basics of decision trees
Sklearn documentation: Decision Trees
Random forests
Predicting Student Loan Prepayment
Student Loan: Overfitting
Student Loan: Alternative Metric & Cross-Validation
Student Loan: Hyperparameter Tuning
Student Loan: xgboost
Project: student_loan
Data Cleaning
Support Vector Machines
Maximal Margin Classifier
Support Vector Classifier
Support Vector machines
SVM with more than 2 classes
Neural Networks
MNIST Digit Recognition
Student Loan: Neural Network
Exchange Rate Prediction
Stock Returns: Neural Network
Numerai
Exchange Rate: Recurrent Neural Network
Additional Programming Topics
Virtual Environments
Pipelines and pickles
Column Transformers
Natural Language Processing and Large Language Models
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Benefits of learning machine learning with PASV

There are several benefits that you can get from our machine learning course:

  1. Simultaneous focus on English and technology
    The program of our machine learning classes is aimed at EACH participant developing language skills and mastering the principles of machine learning at the same time. This is a great opportunity to immerse yourself in modern technologies and improve your English for professional use, isn't it?!
  2. Online learning opportunity
    One of our advantages is that we have machine learning courses online. You can study useful material at a time convenient for you and in the comfort of your home, without having to change your plans or your entire daily routine.
  3. Experienced teachers and experts
    Our machine learning course offers you a team of experienced teachers and experts who will accompany you throughout the training. During learning machine learning, our professionals provide an individual approach to each participant. In addition, our teachers are mentors for our program participants, so our course of machine learning professionals can assess the progress of participants, provide useful advice and help with solving specific challenges that may arise during training.
  4. Application of knowledge on real projects after training
    After completing training at PASV, we offer our students an internship on a real commercial project. This provides the essential experience needed to kickstart their careers and adds the first entry to their resumes for their new profession.
  5. Feeling calm at interviews
    After completing our machine learning courses online, you will feel much more confident at interviews and in your future job. Why? Our machine-learning classes will provide you with specific practical skills that you can demonstrate during interviews. You will be able to give real examples of your projects where machine learning algorithms were used + discuss the principles of their implementation.
  6. Push to new heights!
    You can also start a career in IT with a sought-after profession thanks to the fact that we offer you Python machine learning!
    After 6 months of studying on the course, you can become a junior specialist! You will be able to write code in Python, create algorithms and train models, you will get the basics of mathematics that you will need to understand machine learning algorithms!

Prospects from machine learning course

By enrolling in a machine learning course from PASV, you will have a great opportunity to gain NOT ONLY a good knowledge base and useful practical skills in the field of machine learning BUT ALSO open up a wide range of prospects for the future in leading industries such as IT and programming, finance, medicine, etc.

In addition, the machine learning online course from PASV opens the door to work in startups, corporations, research centers or other organizations that actively use artificial intelligence and machine learning in their activities. You also have a unique opportunity to create your own AI solutions that will take into account your personal needs.

You also have the opportunity to earn a good income after the machine learning engineering course and work for international companies. According to statistics, the average base machine learning engineer salary in the US is $161,739 per year. And this is very prestigious!

We almost forgot about another one of the pleasant bonus prospects! After successfully completing machine learning classes from PASV, you can work remotely from anywhere in the world and apply the acquired knowledge + skills in real projects!

Sign up for the best machine learning course today!

The machine learning course from PASV can be your first step towards expanding your career opportunities, increasing your income, and thus improving your quality of life!

Hurry up and sign up now so you don't miss the chance to become an expert in the field of machine learning and open the door to achieving professional success!