Certified Machine Learning Master (CMLM)

Get Global Recognition And Stand out as a leader in the field of Certified Machine Learning Master (CMLM).

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What Sets Our Program Apart?

  •    E-Learning Library Access
  •    Expertly crafted BOK with ready-to-implement resources
  •    Lifetime Valid Certification with 2 Exam Attempts
  •    Capstone Projects
  •    Generative AI Interview Practice Platform
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About Machine Learning Certification

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Objectives Of Machine Learning Certification

  • Make data-driven decisions to drive business success.
  • Validate mastery of various machine learning algorithms.
  • Demonstrate proficiency in handling large and complex datasets.
  • Showcase expertise in feature engineering and selection.
  • Apply machine learning techniques to real-world scenarios.
  • Utilize deep learning for complex pattern recognition.
  • Machine learning approaches
  • Employ ensemble methods for improved predictive accuracy.
  • Collaborate with experts in the machine learning community.

Benefits Of Machine Learning Certification

  • Unlock higher earnings, showcase validated machine learning skills.
  • Stand out in applications with prestigious CMLM certification.
  • Lead ML projects, and demonstrate advanced skills and knowledge.
  • Stay at the forefront of ML advancements, and update expertise.
  • Solve complex business problems with cutting-edge techniques.
  • Establish credibility with employers and clients.
  • Enhance credibility and reputation.
  • Access exclusive job opportunities.
  • Stay updated with the latest trends.
  • Boost problem-solving and analytical skills.
  • Demonstrate commitment to professional growth.

Exam Syllabus Of Machine Learning Certification

  • Overview of Python
  • History of Python
  • Python Basics: variables, identifiers, indentation
  • Python data structures (dictionary, list, string, sets, and tuples)
  • Statements in Python (conditional, iterative, jump)
  • OOPS concepts
  • Exception Handling
  • Regular Expression

  • Numpy, Pandas and Matplotlib
  • Pandas Module
  • Series
  • Data Frames
  • Numpy Module
  • Numpy arrays
  • Numpy operations
  • Matplotlib module
  • Plotting information
  • Bar Charts and Histogram
  • Box and Whisker Plots
  • Heatmap
  • Scatter Plots

  • NumPy: Arrays
  • Data Operations (Selection, Append, Concat, Joins)
  • Univariate Analysis
  • Multivariate Analysis
  • Handling Missing Values
  • Handling Outliers

  • What is Machine Learning?
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Basic Probability required for Machine Learning
  • Linear Algebra required for Machine Learning

  • Simple Linear Regression
  • Multiple Linear Regression
  • Assumptions of Linear Regression
  • Polynomial Regression
  • R2 and RMSE

  • Logistic Regression
  • Decision Trees
  • Random Forests
  • SVM
  • Naïve Bayes
  • Confusion Matrix

  • PCA
  • Factor Analysis
  • LDA

  • Types of Clustering
  • K-means Clustering
  • Agglomerative Clustering

  • AUC / ROC
  • Silhouette coefficient
  • Cross-Validation
  • Bagging
  • Boosting
  • Bias v/s Variance

  • Need for recommendation engines
  • Types of Recommendation Engines
  • Content-Based
  • Collaborative Filtering

  • What are Association Rules?
  • Association Rule Parameters
  • Apriori Algorithm
  • Market Basket Analysis

  • What is Time Series Analysis?
  • Importance of TSA
  • Understanding Time Series Data
  • ARIMA analysis

  • Understanding Reinforcement Learning
  • Algorithms associated with RL
  • Q-Learning Model
  • Introduction to Artificial Intelligence

  • History of Neural Network
  • Perceptron
  • Forward Propagation
  • Introduction to Deep Learning

Meet our Advisor

 Wanda L. Curlee
Wanda L. Curlee

Department Chair

Lee Lambert
Lee Lambert

CEO

Carsten Ley
Carsten Ley

Founder, Customer

Enrollment Options

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Target Audiences For Machine Learning Certification

  IT Professionals
  Software Developers
  Process Managers
  Application Developers
  Project Managers
  Data Analysis Professionals
  Web Developers

Pre-Requisites For Machine Learning Certification

To become a Machine Learning Master it will be mandatory to have an understanding of statistics, programming, and machine learning.

Exam Details Of Machine Learning Professional (CMLP)

Exam Questions

40

Exam Format

Multiple choice

Language

English

Passing Score

65%

Duration

90 min

Open Book

No

Certification Validity

Lifetime

Complimentary Retake

Yes

Sample Certification

CMLM_CERTI_SAMPLE

About Machine Learning Certification

The GSDC Certified Machine Learning Master (CMLM) certification is a high recognition of expertise in the field of machine learning.

This ML certification showcases your advanced skills and practical knowledge in applying machine learning techniques for data analysis, predictive modeling, and informed decision-making.

By successfully passing the rigorous GSDC certification exam, you gain a competitive edge in the fast-paced realm of data science.

Machine learning plays a vital role in today's world, driving innovation, revolutionizing industries, and shaping the future.

As a certified machine learning professional, you demonstrate your ability to harness this transformative technology to uncover insights and deliver impactful solutions.

Whether you are a data scientist, software engineer, or business analyst, the CMLM certification establishes your credibility and opens up a world of exciting career opportunities.

Stay ahead in the rapidly evolving field of data science with the GSDC Certified Machine Learning Master certification, and make a meaningful impact in the ever-expanding landscape of technology and analytics.

Frequently Asked Questions

The ideal audience for the GSDC Machine Learning Master certification includes data scientists, software engineers, AI researchers, business intelligence professionals, and students or graduates in related fields.

GSDC Machine Learning Master is a certification that validates expertise in machine learning concepts, techniques, and applications. Its benefits include demonstrating ML proficiency, enhancing career prospects, gaining a deep understanding of ML algorithms, and improving problem-solving skills for real-world ML challenges.

Job prospects for GSDC Machine Learning Master certification holders are excellent, with opportunities including roles such as Machine Learning Engineer, Data Scientist, AI Researcher, Predictive Analytics Specialist, and ML Operations Engineer.

The GSDC Machine Learning Master certification is highly relevant due to the increasing adoption of ML across various sectors, the growing demand for skilled ML professionals, and the rising importance of ML in solving complex real-world problems.

Lifetime validity gives GSDC certificate holders assurance that their credentials will never require renewal payments.

Organizations benefit from employees with GSDC Machine Learning Master certification through access to skilled professionals, improved data-driven decision-making, enhanced innovation capabilities, increased efficiency through ML applications, and better utilization of organizational data.

However, Candidates should ideally have a foundational understanding of programming (preferably in Python), statistics, and data analysis.

A book of knowledge is a complementary resource from GSDC that contains in-depth information, learnings, guides, and more regarding the specific certification.

The GSDC Machine Learning Master certification is recognized for its exam that covers both theoretical and practical aspects of machine learning. It emphasizes hands-on experience and is designed to equip candidates with skills that are directly applicable to the industry, making it competitive with other certifications.

GSDC provides various complementary resources including study materials, mocks, and other essential resources.

Choose your preferred package above to begin your certification journey

Why GSDC ?

The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:

  • Advisory board members and SMEs are from around the world, drawn from different specializations.

  • Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.

  • Hub of Trending Technologies and framework certifications.

  • Content curated by Industry's best Subject matter experts.

  • Webinars and Conferences.

  • Training Partners Across The Globe.

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