Corporate Introduction to Machine Learning Training Course

Edstellar's Introduction to Machine Learning instructor-led training course enables teams to develop predictive models, automate repetitive tasks, and derive actionable insights from vast data. Empower your team with the knowledge and techniques to apply machine learning algorithms effectively and drive innovation with our comprehensive training.

Duration

40 - 48 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Introduction to Machine Learning Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Introduction to Machine Learning Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

Machine learning is a branch of artificial intelligence that focuses on developing algorithms and statistical models to enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed. It's crucial for organizations because it empowers them to extract valuable insights from large datasets, automate processes, enhance decision-making, and personalize experiences. Training in machine learning involves iteratively feeding data into algorithms to adjust and improve their performance in making accurate predictions or decisions.

Introduction to Machine Learning instructor-led training course provided by Edstellar can be customized to meet team requirements. The virtual/onsite Introduction to Machine Learning training course led by expert trainers ensures professionals gain a comprehensive coverage of machine learning fundamentals, hands-on experience with popular algorithms, and practical insights into real-world applications.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Key Skills Employees Gain from instructor-led Introduction to Machine Learning Training

Introduction to Machine Learning skills corporate training will enable teams to effectively apply their learnings at work.

Data Analysis
Data Analysis is the process of inspecting, cleansing, and modeling data to discover useful information. This skill is important for roles like data scientist and business analyst, as it drives informed decision-making and strategy development.
Statistical Modeling
Statistical Modeling involves using mathematical techniques to analyze data and make predictions. This skill is important for data analysts and researchers to derive insights, inform decisions, and optimize processes.
Algorithm Design
Algorithm Design is the process of creating efficient, step-by-step procedures for solving problems. This skill is important for software developers and data scientists, as it enables them to optimize solutions, enhance performance, and tackle complex challenges effectively.
Programming Skills
Programming Skills involve writing, testing, and maintaining code to create software applications. This skill is important for developers, data analysts, and engineers to innovate and solve complex problems efficiently.
Feature Engineering
Feature Engineering is the process of selecting, modifying, or creating features from raw data to improve model performance. This skill is important for data scientists and machine learning engineers as it directly impacts model accuracy and effectiveness.
Model Evaluation
Model Evaluation is the process of assessing a machine learning model's performance using metrics like accuracy and precision. this skill is important for data scientists and machine learning engineers to ensure models are effective and reliable in real-world applications.

Key Learning Outcomes of Introduction to Machine Learning Training Workshop for Employees

Upon completing Edstellar’s Introduction to Machine Learning workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

Differentiate between supervised and unsupervised learning paradigms, along with their common algorithms
Apply unsupervised learning methods like k-means clustering to uncover hidden patterns and group similar data points
Employ logistic regression to categorize data points into predefined classes and interpret the model's output probabilities
Choose appropriate evaluation metrics (accuracy, precision, recall) to assess the performance of a machine learning model
Build and utilize linear regression models to solve prediction problems, understanding the impact of regularization techniques
Articulate the core concepts of machine learning and its significance in various industries like healthcare, finance, and marketing
Recognize the different stages involved in a typical machine learning project, including data preparation, model selection, and evaluation
Apply data cleaning techniques to handle missing values and prepare data for model training using methods like scaling and normalization

Key Benefits of the Introduction to Machine Learning Group Training

Attending our Introduction to Machine Learning group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

Develops the skills to evaluate machine learning models using appropriate metrics, ensuring data-driven decision making
Empowers professionals to apply linear regression algorithms to solve prediction problems and gain insights from trends
Cultivates an understanding of classification techniques like logistic regression and decision trees, enabling data categorization tasks
Provides insights into unsupervised learning methods like k-means clustering, allowing for the discovery of hidden patterns within data
Equips the team with the techniques to explore and pre-process data, improving the quality and effectiveness of machine learning models

Topics and Outline of Introduction to Machine Learning Training

Our virtual and on-premise Introduction to Machine Learning training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both relevant and practical.

Introduction to Machine Learning

What is machine learning
- Definition and basic concepts
- Importance in today's world
Popular applications of machine learning
- Healthcare, finance, marketing, etc.
- Real-world examples
Lifecycle of a machine learning project
- Steps in a typical ML project
- Project management and best practices
Introduction to supervised learning
- Definition and examples
- Key supervised learning algorithms
Introduction to unsupervised learning
- Definition and examples
- Key unsupervised learning algorithms

Data Exploration

Importance of data exploration
- Role in the machine learning process
- Impact on model performance
Data preprocessing techniques
- Data cleaning and handling missing values
- Feature scaling and normalization
Data visualization methods
- Types of visualizations
- Tools and libraries for data visualization

Evaluation Metrics

Understanding hypothesis testing
- Null and alternative hypotheses
- Types of errors in hypothesis testing
Common evaluation metrics in machine learning
- Accuracy, precision, recall, F1 score
- ROC curve and AUC

Linear Regression

Introduction to regression
- Definition and basic concepts
- Difference between regression and classification
Types of regression
- Linear regression
- Polynomial regression
Regularization techniques
- Ridge regression
- LASSO regression

Classification

Overview of classification algorithms
- Definition and basic concepts
- Types of classification (binary, multi-class)
Logistic regression in classification
- Sigmoid function and probability estimation
- Model evaluation metrics
Decision trees in classification
- Building decision trees
- Tree pruning and optimization
Random forests in classification
- Ensemble learning
- Advantages and applications

Unsupervised Learning

Introduction to unsupervised learning
- Definition and basic concepts
- Difference between supervised and unsupervised learning
Clustering methods
- K-means clustering
- Hierarchical clustering
Association rules and their applications
- Apriori algorithm
- Market basket analysis

Who Can Take the Introduction to Machine Learning Training Course

The Introduction to Machine Learning training program can also be taken by professionals at various levels in the organization.

Data Scientists
Machine Learning Engineers
Data Analysts
Software Developers
Research Scientists
AI Engineers
Statisticians
Quantitative Analysts
Product Managers
Research Analysts
BI Analysts
Data Wranglers

Prerequisites for Introduction to Machine Learning Training

Professionals with a basic coding experience in any programming language and some exposure to Python and its libraries can take up the Introduction to Machine Learning training course.

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Introduction to Machine Learning Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Introduction to Machine Learning training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Edstellar's Introduction to Machine Learning virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations

The consistent training quality ensures uniform learning outcomes

Participants can attend training in their own space without the need for traveling

Organizations can scale learning by accommodating large groups of participants

Interactive tools can be used to enhance learning engagement

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Edstellar's Introduction to Machine Learning inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction

Workplace environment can be tailored to learning requirements

Team collaboration and knowledge sharing improves training effectiveness

Demonstration of processes for hands-on learning and better understanding

Participants can get their doubts clarified and gain valuable insights through direct interaction

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Edstellar's Introduction to Machine Learning offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement

Team bonding can be improved through activities

Dedicated schedule for training away from office set up can improve learning effectiveness

Boosts employee morale and reflects organization's commitment to employee development

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Edstellar: Your Go-to Introduction to Machine Learning Training Company

Experienced Trainers

Our trainers bring years of industry expertise to ensure the training is practical and impactful.

Quality Training

With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

Industry-Relevant Curriculum

Our course is designed by experts and is tailored to meet the demands of the current industry.

Customizable Training

Our course can be customized to meet the unique needs and goals of your organization.

Comprehensive Support

We provide pre and post training support to your organization to ensure a complete learning experience.

Multilingual Training Capabilities

We offer training in multiple languages to cater to diverse and global teams.

Testimonials

What Our Clients Say

We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

"Attending the Introduction to Machine Learning training was transformational for my professional development. As a Principal Analytics Architect, the deep dive into advanced methodologies gave me the confidence to tackle of practical simulations were immediately applicable to my work. My productivity and technical capabilities have increased dramatically since applying these concepts. This course has become foundational to my continued success.”

Ashley Bradley

Principal Analytics Architect,

AI Solutions Platform Provider

"This Introduction to Machine Learning course was precisely what I needed to design robust technical mastery architectures. The hands-on approach to expert-led workshops and seamless integration with real-world case projects using advanced techniques from this training. We've successfully expanded our service portfolio based on these enhanced capabilities. The comprehensive curriculum has elevated my solution delivery capabilities significantly.”

Manfred Richter

Senior Machine Learning Engineer,

Predictive Analytics Firm

"As a Senior Database Administrator overseeing technical mastery initiatives, the Introduction to Machine Learning training significantly elevated our team's capabilities. The course expertly covered strategic frameworks, hands-on effectiveness. Our team has automated eighteen critical business processes, reducing manual effort by 70%. Our department has achieved remarkable improvements, demonstrating this course's lasting organizational impact.”

Krishnan David

Senior Database Administrator,

ML Model Development Platform

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Get Your Team Members Recognized with Edstellar’s Course Certificate

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your Introduction to Machine Learning Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

Mohammed

Bengaluru, India

Trainer since

November 1, 2001

Chandan

Bengaluru, India

Trainer since

April 1, 2011

Arijeet

Noida, India

Trainer since

July 1, 2017

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Edstellar is a one-stop instructor-led corporate training and coaching solution that addresses organizational upskilling and talent transformation needs globally. Edstellar offers 2000+ tailored programs across disciplines that include Technical, Behavioral, Management, Compliance, Leadership and Social Impact.

Corporate Introduction to Machine Learning Training Course

Drive Team Excellence with Introduction to Machine Learning Corporate Training

Key Skills Employees Gain from instructor-led Introduction to Machine Learning Training

Key Learning Outcomes of Introduction to Machine Learning Training Workshop for Employees

Key Benefits of the Introduction to Machine Learning Group Training

Topics and Outline of Introduction to Machine Learning Training

Introduction to Machine Learning

Data Exploration

Evaluation Metrics

Linear Regression

Classification

Unsupervised Learning

Who Can Take the Introduction to Machine Learning Training Course

Prerequisites for Introduction to Machine Learning Training

Corporate Group Training Delivery Modes for Introduction to Machine Learning Training

Explore Our Customized Pricing Package forIntroduction to Machine Learning Corporate Training

Edstellar: Your Go-to Introduction to Machine Learning Training Company

Experienced Trainers

Quality Training

Industry-Relevant Curriculum

Customizable Training

Comprehensive Support

Multilingual Training Capabilities

What Our Clients Say

Get Your Team Members Recognized with Edstellar’s Course Certificate

We have Expert Trainers to Meet Your Introduction to Machine Learning Training Needs

Other Related Corporate Training Courses

Explore More Courses

Corporate Group Training Delivery Modes
for Introduction to Machine Learning Training

Explore Our Customized Pricing Package for
Introduction to Machine Learning Corporate Training