Machine Learning/ Artificial Intelligence
A comprehensive course on Machine Learning and AI using Python. This course is highly suited for beginners
• 0% EMI Option Available
DATA SCIENCE
• Pre-requisites : Students of Mechanical, Electrical & Electronics, Civil and Computer Science Engineering
A Quick Overview
Many students perceive Machine Learning and Artificial Intelligence to be magic keywords. At the end of the day, AI and ML are nothing but statistical tools that you can use to understand your data. Machine Learning and Artificial Intelligence have been around for over 50+ years, the first perception did not do a great job. The first idea of back-propagation emerged 30 years back. However, now we are in an amazing winsome spot, where ML and AI algorithms are matched by the equally-amazing modern-day computer.
This course in ML and AI is specifically designed for Mechanical, Civil and Electrical & Electronics Engineers to get acquainted with essential mathematical concepts, brush up on their statistics and the fundamentals of ML and AI.
Machine Learning & Artificial Intelligence
Machine learning is programming a computer to perform tasks based on variables inputted by humans, and has been in widespread use since the 1950s. It’s now being used in countless ways, from diagnosing cancer to generating music.
AI, on the other hand, is a broader term. It not only encompasses machine learning but also includes deep learning and other emerging technologies. AI is already in use in places ranging from your smartphone and car to military weapons and climate change.
While machine learning and AI are related, they have distinct advantages. Machine learning uses algorithms and data to train a computer, while AI uses algorithms to perform tasks on its own.
AI and ML Courses
Welcome to the new era of Machine Learning and Artificial Intelligence Training in Bangalore. The future is here. A brand new course teaches you how to become a Machine Learning and Artificial Intelligence Expert. This is the perfect AI and ML course for students who want to learn the latest and fastest growing skills of the future.
Machine Learning and Artificial Intelligence Course Highlights
- You will learn to develop new models and algorithms without writing a line of code.
- AI & ML course consists of over 50 lectures and 7+ hours of content.
- The course is designed to teach you how to build neural networks and deep learning models.
Course Syllabus
BASICS OF PROBABILITY AND STATISTICS
In this module, we will introduce the ideas of Statistics, machine learning and artificial intelligence.
* Basics of Probability
* Basics of Statistics
* What is ML & AI
BASICS OF ML & AI
In this section, we start with supervised learning
* Introduction to normal distribution & standard normal distribution
* Introduction to business moments
* Artificial Intelligence
SUPERVISED LEARNING - PREDICTION
In this section, we start with supervised learning
* Introduction to supervised learning
* What is linear regression
* One hot encoding
* Cost function and gradient descent
SUPERVISED LEARNING - CLASSIFICATION
In this section, we start with classification algorithm
* Introduction to classification problems
* What is logistic regression
* Cost function and gradient descent
SUPERVISED LEARNING - CLASSIFICATION
In this module, we will introduce some more classification algorithms
* Decision tree
* Entropy
* Information gain
RANDOM FOREST & MODEL EVALUATION
In this section, we will assess the algorithms
* Random Forest
* Bootstrapping and majority rule
* Evaluation of classifiers
SUPERVISED LEARNING - CLASSIFICATION
In this section, we will introduce knn
* K-Nearest Neighbour
* Lazy Algorithm
* Single layer Neural Network
UNSUPERVISED LEARNING - KMEANS
In this section, we will introduce clustering
* What is clustering
* Why clustering is important
* Kmeans and elbow curve
UNSUPERVISED LEARNING - HIERARCHICAL
In this section, we will introduce another type of clustering
* Hierarchical Clustering
* Dendrogram
* Evaluation of clustering algorithms
UNSUPERVISED LEARNING - PCA
In this module, we will introduce some feature selection techniques
* Feature Selection
* Principal Component Analysis
* Mathematical intuition behind PCA
SUPERVISED LEARNING - CLASSIFICATION
In this section, we will introduce neural network
* Artificial Neural Network
* Deep learning
* Different activation functions
* Understanding backpropagation
Meet Our Trainers
Our Machine Learning and Artificial Intelligence certification trainers are highly experienced, possess relevant industry backgrounds. They are part of the elite group of instructors who have been chosen to be on the Machine Learning and Artificial Intelligence Course Trainer team. They have in-depth knowledge and are driven by their passion for using the best resources and technologies in the real world.
Candidate Assessment
A candidate assessment helps in the evaluation process of a potential candidate to determine their suitability for the job depending on their learning approach, skills acquired, assignments and projects covered, and exams completed.
Candidates are then trained for the placement to apply for a job for a particular role in the workplace.
Over 10 Modules are covered, 20 Assignments, 5 Real-Time Projects, & 15 Tests that help you avail Certificate of Completion for Machine Learning and Artificial Training Program.
Machine Learning and Artificial Intelligence Certification in Bangalore
AI ML Certification
The main aim of the Machine Learning and Artificial Intelligence Course is to understand all aspects of AI & ML technologies and implement them in the right place. Utilizing machine learning and artificial intelligence (AI) can be a game changer in today’s competitive world.
Machine Learning & Artificial Intelligence Course enables you to understand the following concepts clearly:
- Understand Text Analytics
- Knowledge in Natural Language Processing
- Training in Data Mining and Predictive Analysis
- Robotic Process Automation
- Machine Learning using Python
- Learn Anomaly Detection
- Understand Insights if Sentiment Analysis
- How Object and Face recognition Works
- Fraud Detection
- Operation Research
- Learn Data Fusion
Our Partners
Amazon | FlipKart | BigBasket | Wipro | Cisco | Adobe | Google | Microsoft | Sony | Ericsson | Six Sigma
Eligibility
- Graduates/diploma holders (10+2), (10+2+3) in any discipline
- Prior coding experience not required
Program Schedule
Register for Upcoming Batch
Batch Starts at June 20th
- Duration 6 Weeks
- Course Fees ₹ 35,000
Weekend Batch Starts at June 28th
- Duration 6 Weeks
- Course Fees ₹ 35,000
Who is This Course For ?
- Students of Mechanical, Electrical & Electronics, Civil and Computer Science Engineering
- Freshers and Professionals looking to understand the basics of ML & AI
Programming Language
Python is a programming language that lets you work quickly and integrate systems more effectively.
Python has fast become the most preferred programming language for ML & AI.
Feel free to Contact Us and speak to our counselors on Machine Learning and Artificial Intelligence Training Course in Bangalore.