From Beginning
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the way technology interacts with the world. At Patel Web Solution, we offer industry-focused AI and ML course training in Ahmedabad designed to equip students and professionals with real-world skills in intelligent automation, data-driven decision-making, and predictive analytics. Our hands-on training helps you understand the core concepts and applications of AI and ML—preparing you for exciting career opportunities in top industries like healthcare, finance, retail, cybersecurity, and more.
Artificial Intelligence is the branch of computer science that enables machines to mimic human intelligence. AI-powered systems are capable of performing complex tasks such as understanding natural language, identifying images, interpreting speech, analyzing data, and making decisions.
Machine Learning is a subset of AI that empowers machines to learn from data and improve their performance over time—without being explicitly programmed. ML systems identify patterns, analyze trends, and make accurate predictions using statistical techniques.
While AI is the broader concept of machines being able to perform intelligent tasks, Machine Learning is the driving force behind most AI applications today. AI focuses on simulating human-like intelligence, while ML emphasizes learning from experience and data.
Together, AI and ML are shaping the future by enabling smarter automation, enhanced personalization, and data-backed decision-making across various industries.
Join our AI and Machine Learning training program in Ahmedabad and step confidently into the world of smart technologies. Gain job-ready skills, industry exposure, and the confidence to innovate.\
Take the first step toward a future-proof career. Enroll today at Patel Web Solution!
Introduction to AI and ML
Yes, Sure. You can attend a Free Demo Lecture.
Yes, We will Provide ISO 9001:2015, Government Approved Certificate.
Yes, you Can Pay your Fees in EMI options.
Yes, you will get a good Discount in One Short Payment Option.
Yes,our 50% students are from Non IT Background.
Yes, 100%. We have our own Job Placement Consultancy – My Job Placement.
Yes, we are providing FREE Spoken English Sessions, Interview Preparation & Mock Round for Interviews.
Yes Sure, We arrange Our Batches according College Students & Working Professionals.
As per our standard Rules, We have decided a fix duration for every courses. But if any student requires a few more time then no problem.
Yes, We are providing 15/45 Days Internship & 3 to 12 Months Internship also we are providing with Live Project Training & Job Placement.
Answer: Supervised learning is a type of machine learning where the model is trained on labeled data, meaning each training example is paired with an output label. The model learns to predict the output based on the input data. An example of supervised learning is a spam detection algorithm that learns to classify emails as spam or not based on labeled examples.
A confusion matrix is a performance measurement tool for classification problems. It summarizes the correct and incorrect predictions made by a model by comparing the predicted labels with the true labels. It provides metrics such as accuracy, precision, recall, and F1-score, which help in evaluating the model's performance more comprehensively.
Classification and regression are both types of supervised learning.
Common evaluation metrics for regression models include:
A neural network is a computational model inspired by the human brain, consisting of interconnected nodes (neurons) organized in layers: input, hidden, and output layers. Each connection has an associated weight. The network processes input data through these layers, applying activation functions to introduce non-linearity, and produces an output. The model is trained using backpropagation, adjusting the weights based on the error between predicted and actual outputs.
Hyperparameters are parameters whose values are set before the learning process begins and control the learning process (e.g., learning rate, number of trees in a forest, or depth of a neural network). Hyperparameter optimization involves searching for the best combination of hyperparameters to improve model performance. Techniques for optimization include grid search, random search, and using algorithms like Bayesian optimization.
Flexible supported learning
Flexible supported learning
Apart from technical training in various Website Development, Application Development & Software Development , Patel Web Solution helps you get a foothold I booming IT Industry. 100% Placement Assistance a student completes his / her course successfully. Patel Web Solution Dedicated Placement Cell helps him/her interview with major companies in job roles like programmer, web developer, software tester, database analyst & many more.
Land your dream job at one of the leading tech companies
We believe in quality
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Bachelors in Vocational in Information and
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B.tech in Computer Engineering - Monark University
PATEL WEB SOLUTION, an IT Training & Placement institution passionate about creating learning experiences that inspire & Give a good opportunity to work with the good IT companies.
