MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

MACHINE LEARNING LEAD MENTORS

MACHINE LEARNING COURSE FEES IN PHILIPPINES

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SYLLABUS OF MACHINE LEARNING CERTIFICATION IN PHILIPPINES

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 PHILIPPINES

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN PHILIPPINES

The talent market for artificial intelligence (AI) is exploding right now, which is no surprise. Machine learning's market is anticipated to grow from $21.17 billion in 2022 to $209.91 billion in 2029 at a predicted CAGR of 38.8%. (GlobeNewswire) Due to the rapidly expanding employment opportunities in the sector, machine learning is currently one of the most sought-after professional paths!

DataMites®, a leading global source of training in data science and machine learning, provides effective training that meets the expectations of the industry's rapid shift. With DataMites, training services are provided in a number of nations, including South Africa, the Philippines, Saudi Arabia, the United Arab Emirates, the United Kingdom, and India. Because we have aided more than 50k pupils, we can guarantee that your machine-learning experience will be enjoyable. The caliber of our courses has also been acknowledged by the International Association of Business Analytics Certification.

The three top machine learning courses—Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python—all help you better understand subjects that are hugely popular right now. The DataMites® Machine Learning Certification Courses in Philippines have earned the respectable International Association of Business Analytics Certification's seal of approval. DataMites® provides extremely reasonable real-time instruction.

We offer online training in Philippines in addition to three-phase, six-monthly machine learning courses.

Phase 1: To assist applicants in completing the full curriculum and preparing for the following course, they will be provided with excellent self-study videos and resources.

The primary Live Intensive Training phase is Phase 2, which also includes capstone projects that are applicable to the real world and international certifications like the IABAC Machine Learning Certification in Philippines.

Phase 3 of the program consists of the Career Ready Program and projects.

Our machine learning programs in Philippines include:

Expert in Machine Learning - Programmers must enable computers to learn on their own and produce results without requiring human input. The Machine Learning Expert certification verifies your expertise in data science, machine learning, and artificial intelligence. the ongoing, five-month Machine Learning Expert Training course.

Machine Learning Foundation - By enrolling in the Machine Learning Foundation course, beginners can learn about machine learning. Dimensionality reduction supervised and unsupervised learning, and machine learning techniques are all topics covered in this course. The two-month completion goal for the Machine Learning Foundation Courses.

Machine Learning with TensorFlow - With TensorFlow, machine learning is made possible. TensorFlow is an open-source artificial intelligence toolkit that builds machine learning models using data flow graphs. TensorFlow is frequently used to categorize, perceive, discover, anticipate, and be creative. You will learn how to use Tensorflow, improve your statistical knowledge, and create machine learning models and algorithms using real data with the aid of the "Machine Learning with Tensorflow" course. Tensorflow machine learning's five-month training course has.

Machine Learning with Python - Python is used for machine learning Python is a multipurpose programming language that may be used to handle a variety of challenging machine learning tasks and quickly produce machine learning testing prototypes. The Python with Machine Learning course will teach you how to design your own machine learning algorithms. The course introduces students to the uses of Python in data processing, statistics, algorithms, machine learning, and other areas. Enrollments are now being accepted for the five-month DataMites® Machine Learning with Python Training Program.

Machine Learning with R - The world's top data scientists utilize R, a powerful machine learning framework, for machine learning. In this course, you will learn about machine learning basics, data processing for ML, ML algorithms, constructing and training ML models, and a case study from the real world. The five-month DataMites ML training curriculum is built on R.

Regarding the nation's workforce's Technological skills, there is no debate either. The Philippines' economy is growing at the second-fastest rate in the globe. The Philippines is a popular location for tech jobs beyond the apparent labor cost advantages due to its young, educated workforce and English-speaking populace. Depending on the course you participate in, the cost of DataMites® online machine learning courses in the Philippines can range from PHP 13,452 to PHP 40,357.

Pursuing a job in machine learning can help you be a part of the digital transformation we're talking about in industries like healthcare, retail, logistics, and manufacturing. Having machine learning abilities makes you a valuable resource in any industry, which means you have a lot of options. As an ML professional, you will have complete control in this manner. If you're interested in pursuing a career in Machine Learning, take up DataMites Machine Learning Training in Philippines.

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

ABOUT MACHINE LEARNING COURSE IN PHILIPPINES

FAQ’S OF MACHINE LEARNING COURSE IN PHILIPPINES

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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