Machine learning Online Courses in Russia

Machine-learning Online Training with Live Instructor.

Below are online courses that contains machine-learning. Select among the courses listed that is related to machine-learning to know more on what the course may offer you. If interested, simply click on the course title. If you would like to purchase the training, click "Book". Transact your payment information and indicate your target training day. After purchasing the course, you will receive a confirmation email. QwikCourse team will get in touch with the trainer and start communicating with you.

Artificial Intelligence Preface

About Overview What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being
7 hours
1 656 €

Petastorm

Petastorm Petastorm is an open source data access library developed at Uber ATG. This library enables single machine or distributed training and evaluation of deep learning models directly from
7 hours
1 656 €

Sagemaker Python Sdk

About SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. With the SDK, you can train and deploy models using popular deep
7 hours
1 656 €

Myvision

MyVision is a free online image annotation tool used for generating computer vision based ML training data. It is designed with the user in mind, offering features to speed up the labelling process
7 hours
1 656 €

Interpretable Ml

Interpretable Machine Learning A collection of code, notebooks, and resources for training interpretable machine learning (ML) models, explaining ML models, and debugging ML models for accuracy,
7 hours
1 656 €

DS 2.3 DS In Production

Data Science in Production This course covers the tools and techniques commonly utilized for production machine learning in industry. Students learn how to provide web interfaces for training
7 hours
1 656 €

Face Recognition In Action LFW

In the last few decades, the research on face recognition has become a trendy topic. Significant developments have been made by various research in this field. The definition of face recognition can
7 hours
1 656 €

Fairing

About Kubeflow Fairing is a Python package that streamlines the process of building, training, and deploying machine learning (ML) models in a hybrid cloud environment. By using Kubeflow Fairing
7 hours
1 656 €

Awstrainer

About Command line tool for machine learning on AWS awstrainer helps you run machine learning tasks (or any other long-running computations) on AWS. With one simple command, it spins up an AWS
7 hours
1 656 €

Adaptnlp

A high level framework and library for running, training, and deploying state-of-the-art Natural Language Processing (NLP) models for end to end tasks. AdaptNLP allows users ranging from beginner
7 hours
1 656 €

RandomPartitioner

RandomPartitioner This is a Pharo library for partitioning a collection. Given a set of K proportions, for example 50%, 30%, and 20%, it shuffles the collection and divides it into K non-empty subsets
7 hours
1 656 €

Mysterio

mysterio A platform for training, labeling, deploying and retraining image classification model. Approach & Solution Project Structure main.py : embedding the machine learning model to flask
7 hours
1 656 €

Data Training For Machine Learning

This course was developed using the concept of Machine Learning and the programming language Python 3. Machine learning is the study of algorithms and statistical models that computer systems use to
7 hours
1 656 €

Jano

Jano God of beginnins, time and trasitions... What is Jano ? Jano is a time slicer designed to train and test time correlated machine learning models. Jano operates by "walking" along
7 hours
1 656 €

SMART

SMART is an open source application designed to help data scientists and research teams efficiently build labeled training datasets for supervised machine learning tasks. If you use SMART for a
7 hours
1 656 €

Harmony

Harmony: A scheduling framework for multiple machine learning training jobs running on distributed resources. This module includes 1) a parameter-server (PS) implementation with shared runtime for
7 hours
1 656 €

MultiClassClassification

MultiClassClassification Multi-Class Classification will classify the short description against labels/classes in the training data. This engine is deployed using Docker container service. Machine
7 hours
1 656 €

Traffic Sign Classifier

About Project 3: Traffic Sign Classifier Dataset Summary: I read the dataset using the pickle library in Python. The original dataset features:
7 hours
1 656 €

Multi Language Classifier

About Requires Java 9+ The goal of this is to combine a lot of the various techniques in machine learning, some of which I have learned in detail in my classes, and some of these have just been
7 hours
1 656 €

GAE Bag Of Words

GAE-Bag-of-Words (GAE-BoW) is a Natural Languange Processing (NLP) model developed during an hackathon project that took place in Salerno (Naples-Italy). The challenge concerned the development of an
7 hours
1 656 €

ANN On Churn Modelling Dataset Using Keras

Artificial Neural Network I implemented a simple ANN on the Churn Modelling Dataset and then after training tested on a single data to predict values The idea of ANNs is based on the belief that
7 hours
1 656 €

Genesis

genesis Scripts that creates training and testing data for geo-parsing from Wikipedia structure Genesis includes two parts, (1) a genesis.tsv file and (2) a folder of raw text with maps. The
7 hours
1 656 €

MNIST Data Using Keras

MNIST dataset is one of the classical problems in machine learning which deals to tackle the problem of recognizing hand-written digits from 0 through 9. It is often referred to as the 'Hello World
7 hours
1 656 €

Learn Mambas

About Mambas is a web based visualization tool to manage your Keras projects and monitor your training sessions. What is included? As of today, the following functionalities have been
7 hours
1 656 €

Few Shot Learning

Few Shot Learning The process of learning good features for machine learning applications can be very computationally expensive and may prove difficult in cases where little data is available. A
7 hours
1 656 €

Machine Teaching

Machine Teaching A web application for training supervised models with feedback. FAQ What is this? Lots of open-source projects exist for machine learning algorithms, but most of the value comes from
7 hours
1 656 €

Dataset

Dataset A multi-purpose dataSet for Machine Learning algorithms training. Create a DataSet to create a DataSet to use for Zeeml Machine Learning, you need to specify a source : either a csv file or an
7 hours
1 656 €

Deep Dashboard

Deep Dashboard A better visualization tool for training machine learning models. Introduction Tired of watching un-informative command line console? Tired of the line limit of ssh screen? Deep
7 hours
1 656 €

Discover Tensorfx

About TensorFX is an end to end application framework to simplifies machine learning with designed from the ground up to make the mainline scenarios simple with higher level building blocks, while
14 hours
3 312 €

Internship Training

Software Engineer Internship Training Developer training program for vintage software. Stage 1: Clean Code (1 day) Learn how to write clean, maintainable, extensible code Additional Resources Stage 2:
7 hours
1 656 €

MrEnsemble

mrEnsemble mrEnsemble is an environment for Distributed Machine Learning, which allows easy creation and deployment for ensembles of arbitraty methods. The goal is to have a handy tool to analyse the
7 hours
1 656 €

Explore AutoDL

AutoDL A Deep Learning Automation Framework Library based on keras, sklearn for the automation of the machine learning and deeplearning algorithms training.testing,metrics,comparative analysis and
7 hours
1 656 €

Architecting For Machine Learning

Architecting For Machine Learning Welcome to the art and science of machine learning! During this course you will learn about the theory and application of machine learning in industry. This course is
7 hours
1 656 €

Avato Python Client Training

Confidential ML Training Python client library for Training instance of the decentriq platform. What is Confidential ML Training? By using Confidential Computing, Confidential ML Training
7 hours
1 656 €

YAMLF

Yet Another Machine Learning Framework (YAMLF) (pre-release) YAMLF is a PyTorch based light-weight Supervised and Semi-Supervised Machine Learning model training and evaluation Python 3 module. It
7 hours
1 656 €

Bluefog

Bluefog Overview Bluefog is a distributed training framework for PyTorch based on diffusion/consensus-type algorithm. The goal of Bluefog is to make distributed and decentralized machine learning
7 hours
1 656 €

Sagemaker Experiments

Experiment tracking in SageMaker Training Jobs, Processing Jobs, and Notebooks. Overview SageMaker Experiments is an AWS service for tracking machine learning Experiments. The SageMaker Experiments
7 hours
1 656 €

Train Emotions

Train emotions This is a course dedicated for training machine learning models for voice files with emotions (angry, disgust, fear, happy, neutral, or surprised) from video files downloaded from
7 hours
1 656 €

MNIST Demo

MNIST Demo for beginners The aim was to train and evaluate the MNIST dataset of 60000 labeled handwritten digits. This was an example of a Supervised Machine Learning system. The Anaconda platform is
7 hours
1 656 €

CountryTrainingKit

CountryTrainingKit WIP Flag trainging using Core ML Overview Objective: investigate machine learning to present flag game challenges that are appropriate for the specific player. Present a flag
7 hours
1 656 €

Hand Written Digits Classifier

Hand-written-digits-classifier A multi layer perceptron(MLP) neural network used to classify hand-written digits. By building a feedforward network with back propagation and training process using the
7 hours
1 656 €

House Price Prediction System

House Price Prediction System Documentatiom This Project is based on Machine Learning in which We predict the Price of the House using a Dataset and training it by using several Machine Learning
7 hours
1 656 €

Data Engineering Google Cloud Specialization

Cloud Engineering with Data Engineering with Google Cloud Professional Certificate What you will learn
7 hours
1 656 €

Deepkit

Deepkit Deepkit is an open-source platform and cross-platform desktop application to execute, track, and debug modern machine learning experiments. With integrated server management tool to execute
7 hours
1 656 €

Meta Apo

Meta-Apo Contents Introduction Meta-Apo (Metagenomic Apochromat) calibrates the predicted gene profiles from 16S-amplicon sequences using an optimized machine-learning based algorithm and a small
7 hours
1 656 €

Discover HarborML

About HarborML is a framework for building, training, and deploying machine learning and AI solutions via containers. Content
7 hours
1 656 €

TheBoyOfSilence

TheBoyOfSilence Sentiment Analysis tool for Tweets based on a keyword that can convert unstructured Tweet data to a structured .csv file that can be used as input for training supervised machine
7 hours
1 656 €

ZMOD

Zementis Modeler (ZMOD) Zementis modeler is an open source machine learning and artificial intelligence platform for Data Scientist to solve business problems faster and quicker, build prototypes and
7 hours
1 656 €

AssignPointsToExistingClusters

About AssignPointsToExistingClusters are algorithms for assigning points in one dataset to clusters in another dataset. Ideally, if we have two datasets that represent the same objects in the real
7 hours
1 656 €

MLMM

Machine Learning Model Monitoring (MLMM) Why MMLM? MMLM is proposed and being developed due to various reasons: Blueprint of MMLM To improve the training efficiency, I am working on developing a
7 hours
1 656 €

MachineLearningObjectTracking

Machine Learning Object Tracking (MLOT) This course contains all the functions needed for the MLOT algorithm. this algorithm is useful for identification of low SNR particles in 3D. This README file
7 hours
1 656 €

Datalab

datalab Purpose Provide the means of ownership of one's data and trained models used in machine learning applications. Functions Store data as datapoints and add labels to each datapoint. Datapoints
7 hours
1 656 €

ML From Scratch

Machine Learning From Scratch About Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized
7 hours
1 656 €

Freqtrade Fundamentals

About Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and
7 hours
1 656 €

Explore KubeEdge

About KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of cloud part and edge part, provides core
7 hours
1 656 €

Xlearn

What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machines (FM), and field-aware factorization machines
7 hours
1 656 €

Pylearn2

Pylearn2: A machine learning research library Warning : This project does not have any current developer. We will continue to review pull requests and merge them when appropriate, but do not expect
7 hours
1 656 €

Eli5

= ELI5 ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions. It provides support for the following machine learning frameworks and
7 hours
1 656 €

Tangent

About Tangent is a new, free, and open-source Python library for automatic differentiation. Existing libraries implement automatic differentiation by tracing a program's execution (at runtime,
7 hours
1 656 €

EasyML

About Easy Machine Learning Machine learning algorithms have become the key components in many big data applications. However, the full potential of machine learning is still far from been
7 hours
1 656 €

TransmogrifAI

About TransmogrifAI (pronounced trns-mgr-f) is an AutoML library written in Scala that runs on top of Apache Spark. It was developed with a focus on accelerating machine learning developer
7 hours
1 656 €

Feature Selector

About Feature Selector: Simple Feature Selection in Python Feature selector is a tool for dimensionality reduction of machine learning datasets. Methods There are five methods used to
7 hours
1 656 €

Cml

What is CML? Continuous Machine Learning (CML) is an open-source library for implementing continuous integration & delivery (CI/CD) in machine learning projects. Use it to automate parts of your
7 hours
1 656 €

Captum

Captum is a model interpretability and understanding library for PyTorch. Captum means comprehension in latin and contains general purpose implementations of integrated gradients, saliency maps,
7 hours
1 656 €

XLearning

XLearning is a convenient and efficient scheduling platform combined with the big data and artificial intelligence, support for a variety of machine learning, deep learning frameworks. XLearning is
7 hours
1 656 €

Ml Workspace

All-in-one web-based development environment for machine learning Getting Started Features & Screenshots Support Report a Bug FAQ Known Issues Contribution The ML workspace is an all-in-one
7 hours
1 656 €

Federated

TensorFlow Federated TensorFlow Federated (TFF) is an open-source framework for machine learning and other computations on decentralized data. TFF has been developed to facilitate open research and
7 hours
1 656 €

Tfx

TFX Google-production-scale machine learning platform based on TensorFlow. It provides a configuration framework to express ML pipelines consisting of TFX components. TFX pipelines can be orchestrated
7 hours
1 656 €

Limdu

Limdu.js Limdu is a machine-learning framework for Node.js. It supports multi-label classification, online learning, and real-time classification. Therefore, it is especially suited for natural
7 hours
1 656 €

Feast

About Feast (Feature Store) is a tool for managing and serving machine learning features. Feast is the bridge between models and data. Feast aims to:
7 hours
1 656 €

Hands On Machine Learning With ML.NET

ML.NET is A machine learning framework for .NET It is a free and open-source software. ML.NET is developed by .NET Foundation
7 hours
1 656 €

The Reinforcement Learning Workshop

Deep reinforcement learning is techniques combining deep learning and reinforcement learning principles to create efficient machine learning algorithms
7 hours
1 656 €

Learn Bioinformatics With Python

About The Biopython Project is an open-source collection of non-commercial Python tools for computational biology and bioinformatics, created by an
7 hours
1 656 €

Beginning Data Science With Python And Jupyter

About Project Jupyter is a web application for interactive data science and scientific computing It is a rich Internet application. Content
7 hours
1 656 €

Mastering IoT

About The Internet of things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of
14 hours
3 312 €

Basic Statistics For Machine Learning

About Knowing statistics helps you build robust Machine Learning models that are optimized for a given drawback statement. this course can teach you all it takes to perform advanced applied math
14 hours
3 312 €

Basics of Deep Learning For IoT

About Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural
7 hours
1 656 €

Discover Neural Networks With TensorFlow 2.0

About Tensor processing unit is a Google-developed coprocessor for accelerating neural networks tensor processing unit is developed by Google Content
21 hours
4 968 €

Machine Learning with MATLAB

About MATLAB is Numerical computing environment and programming language It is a application. MATLAB is developed by MathWorks and Cleve Moler. It is designed by Cleve MolerSupported by Microsoft
21 hours
4 968 €

CrypTen

CrypTen is a framework for Privacy Preserving Machine Learning built on PyTorch. Its goal is to make secure computing techniques accessible to Machine Learning practitioners. It currently implements
7 hours
1 656 €

Discover Swix (Swift Matrix)

About Swift Matrix and Machine Learning Library Apple's Swift is a high level language that's asking for some numerical library to perform computation fast or at the very least easily. This is a
7 hours
1 656 €

Opensoc

OpenSOC OpenSOC integrates a variety of open source big data technologies in order to offer a centralized tool for security monitoring and analysis. OpenSOC provides capabilities for log aggregation,
7 hours
1 656 €

Learn Barefoot (Java Library)

Barefoot An open source Java library for online and offline map matching with OpenStreetMap. Together with its extensive set of geometric and spatial functions, an in-memory map data structure and
7 hours
1 656 €

TensorFlow Data Validation

About TensorFlow Data Validation (TFDV) is a library for exploring and validating machine learning data. It is designed to be highly scalable and to work well with TensorFlow and TensorFlow
7 hours
1 656 €

Rumale

Rumale Rumale (Ruby machine learning) is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support
7 hours
1 656 €

Discover Xai

About XAI - An eXplainability toolbox for machine learning. XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for
7 hours
1 656 €

Discover Apache Spark Machine Learning

About Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with
14 hours
3 312 €

Basics of Unsupervised Learning

About Unsupervised Learning is a machine learning technique using Python. Also known as unsupervised machine learning. Content
7 hours
1 656 €

Discover Machine Learning With Scikit-Learn

About Scikit-Learn is a machine learning library for the Python programming language. Also known as scikits.learn, sklearn, and scikit. Content
7 hours
1 656 €

Machine Learning And Tensorflow

About This course will assist you in learning complex hypothesis, calculations and coding libraries in a straightforward way. You will grow new aptitudes and improve your comprehension of this
7 hours
1 656 €

Developing AI Applications On Azure

About This course presents the ideas of Artificial Intelligence and Machine learning. We'll examine AI types and assignments, and AI calculations. You'll investigate Python as a famous programming
7 hours
1 656 €

What Is Data Science?

About Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural
7 hours
1 656 €

Discover AutoML (Automated Machine Learning)

About Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. AutoML covers the complete pipeline
21 hours
4 968 €

Learn Spark with Python

About Python is a significant-level programming language well known for its reasonable linguistic structure and code readability. Spark is an information handling motor utilized in
21 hours
4 968 €

Artificial Intelligence in Finance

About Financial institutions have long used artificial neural network systems to detect charges or claims outside of the norm, flagging these for human investigation. The use of AI
21 hours
4 968 €

Discover Python and Jupyter for Data Science

About Get to know the learning you need for starter level data science in this involved Python and Jupyter course. You will find most oftentimes utilized libraries that are essential for the
21 hours
4 968 €