SYLLABUS OF MACHINE LEARNING CERTIFICATION IN MANILA

Machine Learning Introduction

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

Machine Learning Algorithms

Popular Machine Learning Algorithms
Clustering, Classification and Regression
Supervised vs Unsupervised Learning
Choice of Machine Learning

Supervised Learning

Simple and Multiple Linear Regression
KNN etc...

Linear Regression and Logistic Regression

Theory of Linear Regression
Hands on with use Cases

Naïve Bayes Classifier

Naïve Bayes for text classification
New Articles Tagging

Advanced Machine Learning Concepts

Tuning with Hyper Parameters
Popular ML Algorithms
Clustering, Classification and Regression
Supervised vs Unsupervised
Choice of ML Algorithm

Support Vector Machine (SVM)

Simple and Multiple Linear regression
KNN

Natural Language Processing (NLP)

Text Processing with Vectorization
Sentiment analysis with TextBlob
Twitter sentiment analysis.

Artificial Neural Network (ANN)

Basic ANN network for regression and classification

Tensorflow overview and Deep Learning Intro

Tensorflow work flow demo and intro to deep learning

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN MANILA

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 Manila 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 Manila 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 Manila.

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

Our machine learning programs in Manila 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.

One of the "Super City" leaders in the Philippines, the only Philippine metropolis to make it into the Top 10. Up until this point, Manila has played a significant role in the development of both the national economy and employment opportunities. Tholons contends that the city's booming business climate and advantageous legislative framework are what are fostering the city's tech development. Depending on the course you participate in, the cost of DataMites® online machine learning courses in Manila 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 Manila.

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

FAQ’S OF MACHINE LEARNING COURSE IN MANILA

What are the services provided by the Placement Assistance Team?

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

How are the career mentoring sessions structured?

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.

Does the Placement Assistance Team(PAT) guarantee a job?

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.