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Machine Learning Certification Course CLASSROOM AND LIVE ONLINE COURSES

Rating 4.5/5 Stars based on Reviews | 958 students enrolled

Key Features

  • Money Back Guarantee*
  • Course Completion Certificate
  • Complimentary E-Learning For All Participants
  • Instructor-Led Online Project Mentoring Sessions
  • Accredited Courseware With Chapter-End Quizzes
  • 3 Months Online Exam Simulator For Exam Preparation
  • Industry Based Case Studies
  • 2 Full-Length Simulation Tests
  • Interactive Sessions By An Expert Trainer
  • Real Life Case Studies And Examples
  • Classroom And Live Online Training Worldwide
  • 24x7 Customer Support

Machine Learning Certification Course SCHEDULE

In-Person
Classroom

USD : $2849.00$ 2249.00

  • 2-days of guaranteed to run in-person training
  • Access to Global Certify’s study guide designed by industry experts
  • Exam passing tips and tricks to assist in the exam
  • 2 practice test to gauge your learning post-training
  • Application assistance and support by certified staff

Live Online
Classroom

USD : $1599.00 $ 1249.00

  • 3-days of assured instructor-led online live training
  • Access to Global Certify’s study guide designed by industry experts
  • Exam passing tips and tricks to assist in the exam
  • 2 practice test to gauge your learning post-training
  • Recorded lesson video for post-training learning

Online
Self Study

USD : $1199.00$ 849.00

  • 180 days of complete access to the complete course
  • Exam passing tips and tricks to assist in the exam
  • 2 practice test to gauge your learning post-training
  • Application assistance and support by certified staff
  • Chapter end quizzes and exercises in all modules

Machine Learning Certification Course DESCRIPTION

This Machine Learning equips the participants with the knowledge and hands-on skills required for certification and job competency in machine learning. The demand for machine learning skills is growing quickly. You will become proficient with machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer. By making it possible to quickly, cheaply, and automatically process and analyze huge volumes of complex data, machine learning is critical to countless new and future applications. Machine learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection, and even self-driving cars. Our expert trainer will ensure that your learning goals are achieved in this intensive training session. Our course content includes practice tests and exam prep questions. We also provide access to our online training course for this certification training through e-learning / self-paced training to enable you to start your exam preparation as soon as you confirm your participation in this training course. Our accredited courseware, interactive training provided by an industry expert with hands-on Projects experience, simulated tests, coupled with e-learning access will prepare you to clear the Machine Learning certification exams on your first attempt. Take the first step towards exploring an opportunity to become a Machine Learning certified professional. Prepare for the Machine Learning Certification exam and fast-track your career as a Machine Learning practitioner.

Course Agenda

  • The emergence of Artificial Intelligence
  • Recommender Systems
  • Relationship between Artificial Intelligence, Machine Learning, and Data Science
  • Definition and Features of Machine Learning
  • Machine Learning Approaches
  • Machine Learning Techniques
  • Applications of Machine Learning

  • Data Exploration
  • Seaborn
  • Data Wrangling
  • Missing Values in a Dataset
  • Data Manipulation

  • Supervised Learning Flow
  • Types of Supervised Learning
  • Types of Classification Algorithms
  • Types of Regression Algorithms
  • Accuracy Metrics
  • Cost Function
  • Evaluating Coefficients
  • Challenges in Prediction
  • Logistic Regression
  • Sigmoid Probability
  • Accuracy Matrix

  • Regression
  • Factor Analysis
  • Principal Component Analysis (PCA)
  • First Principal Component
  • Eigenvalues and PCA
  • Demo: Feature Reduction
  • Linear Discriminant Analysis
  • Maximum Separable Line

  • Overview of Classification
  • Classification Algorithms
  • Decision Tree
  • Random Forest Classifier- Bagging and Bootstrapping
  • Decision Tree and Random Forest Classifier
  • Demo: Horse Survival
  • Naive Bayes Classifier
  • Steps to Calculate Posterior Probability
  • Support Vector Machines
  • Linear SVM: Mathematical Representation
  • Non-linear SVMs
  • The Kernel Trick

  • Example and Applications of Unsupervised Learning
  • Clustering
  • Hierarchical Clustering
  • K-means Clustering
  • Optimal Number of Clusters

  • Time Series Pattern Types
  • White Noise
  • Stationarity
  • Removal of Non-Stationarity
  • Time Series Models
  • Steps in Time Series Forecasting

  • Ensemble Learning Methods
  • Working of AdaBoost
  • AdaBoost Algorithm and Flowchart
  • Gradient Boosting
  • XGBoost
  • Model Selection
  • Common Splitting Strategies

  • Purposes and Paradigm of Recommender Systems
  • Collaborative Filtering
  • Association Rule Mining
  • Association Rule Mining: Market Basket Analysis
  • Association Rule Generation: Apriori Algorithm

Course Overview

Machine Learning is a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. The machine learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. The median salary of a Machine Learning Engineer is $134,293 (USD), according to payscale.com.

Machine learning is so extensive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this training, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you will learn about not only the theoretical underpinnings of learning, but also gain the practical knowledge, needed to quickly and powerfully apply these techniques to new problems.

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Our course will also draw from numerous case studies and applications, so that you learn how to apply algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining, and other areas.

Our training will provide you a foundational understanding of machine learning models as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. We also have designed real time practice exercises that will give you hands-on experience implementing these data science models on data sets.

Machine Learning Certification Course Exam & Certification

Analytics managers who are leading a team of analysts Developers aspiring to be a data scientist or machine learning engineer Business analysts who want to understand data science techniques Information architects who want to gain expertise in machine learning algorithms Analytics professionals who want to work in machine learning or artificial intelligence Graduates looking to build a career in data science and machine learning Experienced professionals who would like to harness machine learning in their fields to get more insights

There are 3 modes of learning, namely Classroom which will be face-to-face instructor-led sessions, Live Virtual Instructor-led Training for those with a disadvantage to travel, and finally the self-paced e-Learning which you can take up anywhere, anytime.

You will have online access to e-learning and practice tests along with the training.

Visit our website and click the “Need Help &Support” link, and fill out the form that appears on the page. Our customer staff will get in touch at the earliest possible. Alternatively, you can engage directly with our support team using the ‘Live Chat” feature to clarify all your queries.