MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

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MACHINE LEARNING COURSE FEES IN HANOI

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SYLLABUS OF MACHINE LEARNING CERTIFICATION IN HANOI

The following topics are covered in "Machine Learning"

Foundation:

Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies

Expert:

Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning
  • Simple and Multiple Linear Regression
  • KNN etc...
  • Theory of Linear Regression
  • Hands on with use Cases
  • Naïve Bayes for text classification
  • New Articles Tagging
  • K-means Clustering
  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm
  • Ensemble Theory
  • Random Forest Tuning
  • Simple and Multiple Linear regression
  • KNN
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.
  • Basic ANN network for regression and classification
  • Tensorflow work flow demo and intro to deep learning

OFFERED MACHINE LEARNING COURSES IN HANOI

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN HANOI

According to Indeed.com, the top job option in the tech industry is that of a machine learning engineer. The technological advancements and lucrative employment options offered by machine learning have garnered a lot of attention lately. A profession in machine learning can help to facilitate the digital transition we're talking about in industries like healthcare, retail, logistics, and manufacturing!

DataMites®, a preeminent global provider of training in data science and machine learning, offers efficient instruction that satisfies the demands of the sector's quick change. South Africa, the Philippines, Saudi Arabia, the United Arab Emirates, the United Kingdom, and India are just a few of the countries that offer DataMites training services. We are confident that you will like using machine learning because we have helped more than 50k pupils. The International Association of Business Analytics Certification has also recognized the quality of our courses.

The top three machine learning courses—Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python—all aid in your understanding of topics that are quite popular in the modern period. The renowned International Association of Business Analytics Certification has given its seal of approval to the DataMites® Machine Learning Certification Courses in Hanoi. DataMites® offers real-time tutoring at incredibly inexpensive rates.

Together with three-phase, six-monthly machine learning courses, we also provide online training in Hanoi.

  1. Phase 1: Excellent self-study videos and resources will be made available to applicants in order to help them finish the curriculum and get ready for the next course.
  2. The main portion of live intensive training, Phase 2, includes real-world capstone projects and international certifications like the IABAC Machine Learning Certification in Hanoi.
  3. The Career Ready Program and projects are included in Program Phase 3.

Listed below are a few of the machine learning training courses we provide in Hanoi:

Machine Learning Expert - Computers must be programmed so they can learn on their own and create outcomes without the need for human input. The Machine Learning Expert certification, as its name suggests, attests to your proficiency in data science, machine learning, and artificial intelligence. the ongoing, five-month-long Machine Learning Expert Training program.

Machine Learning Foundation - Learning about machine learning for beginners involves enrolling in the Machine Learning Foundation course. This course covers a variety of subjects, including dimension reduction, supervised and unsupervised learning, and machine learning approaches. The Machine Learning Foundation Courses' two-month completion deadline.

Machine Learning with TensorFlow - The open-source artificial intelligence toolkit TensorFlow constructs machine learning models to enable machine learning using data flow graphs. For categorizing, seeing, discovering, predicting, and being creative, TensorFlow is frequently utilized. The "Machine Learning with Tensorflow" course will teach you how to utilize Tensorflow and develop machine learning models and algorithms from scratch using actual data. A five-month training program has been created for Tensorflow machine learning.

Machine learning with Python - Python is a general-purpose programming language that may be used to handle a variety of difficult machine learning tasks and quickly build prototypes for machine learning testing. You learn how to build Machine Learning algorithms from scratch in the Python with Machine Learning course. Applications of Python to data processing, statistics, algorithms, machine learning, and other subjects are covered in this course. Open enrollment is available for the five-month DataMites® Machine Learning with Python Training Program.

Machine Learning using R - The most accomplished data scientists in the world use R, a potent machine learning framework. In addition to a case study from the real world, the course covers the principles of machine learning, data processing for ML, ML algorithms, building, and training ML models, and constructing ML models. The R-based DataMites ML training course must be finished in five months.

Digital content, cloud computing, and fintech are anticipated to be the top investment sectors in Hanoi’s IT economy. Costs for DataMites® online machine learning courses in Hanoi can range from VND 5,777,445 to VND 17,332,335, depending on the course you decide to enroll in. Machine learning certification can improve resumes and make you more appealing to employers! Then why not get them?

Along with the machine learning course, DataMites also provides data analyst course, deep learning, data engineer, data analytics, artificial intelligence, power bi training, mlops, python, tableau, r programming and data science courses in Hanoi.

ABOUT MACHINE LEARNING COURSE IN HANOI

FAQ’S OF MACHINE LEARNING COURSE IN HANOI

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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