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FindMyGuru - A Trusted Tutor & Institute Discovery Platform

FindMyGuru A Trusted Tutor & Institute Discovery Platform

Esuru Pooja
  • Qualification:B.Tech / B.E.
  • Language:English, Telugu, Tamil
  • Experience:2 years
★★★★★4/5

Esuru Pooja

Online

Skills :

Ai and Data AnalyticsAi ApplicationsAi MlAi Tools

About :

Esuru Pooja is a dedicated tutor with a B.Tech degree who is passionate about helping students achieve their academic goals. With two years of teaching experience, she focuses on c…

Esuru Pooja is a dedicated tutor with a B.Tech degree who is passionate about helping students achieve their academic goals. With two years of teaching experience, she focuses on creating a supportive learning environment that encourages students to engage actively with the material. Esuru teaches in English, Telugu, and Tamil, making her accessible to a diverse range of students.

Her teaching approach emphasizes clarity and understanding, ensuring that each student can grasp complex concepts at their own pace. Esuru believes in fostering a positive relationship with her students, which helps build their confidence and enthusiasm for learning. Whether online or offline, she is committed to providing quality education tailored to individual needs.

About FindMyGuru

FindMyGuru is a tutor discovery platform that helps students find and connect with experienced tutors and institutes across a wide range of subjects and skills. Students can explore tutor profiles, compare expertise, and contact tutors directly for online or in-person learning.FindMyGuru facilitates discovery and connections between students and tutors or institutes. All classes and learning arrangements are handled directly between students and the respective tutors or institutes

Esuru Pooja

Esuru Pooja

Online

  • Qualification:B.Tech / B.E.
  • Language:English, Telugu, Tamil
  • Experience:2 years

Skills :

Ai and Data AnalyticsAi ApplicationsAi MlAi Tools
★★★★★ 4/5

Esuru Pooja is a dedicated tutor with a B.Tech degree who is passionate about helping students achieve their academic goals. With two years of teaching experience, she focuses on c...

Esuru Pooja is a dedicated tutor with a B.Tech degree who is passionate about helping students achieve their academic goals. With two years of teaching experience, she focuses on creating a supportive learning environment that encourages students to engage actively with the material. Esuru teaches in English, Telugu, and Tamil, making her accessible to a diverse range of students.

Her teaching approach emphasizes clarity and understanding, ensuring that each student can grasp complex concepts at their own pace. Esuru believes in fostering a positive relationship with her students, which helps build their confidence and enthusiasm for learning. Whether online or offline, she is committed to providing quality education tailored to individual needs.

FindMyGuru is a tutor discovery platform that helps students find and connect with experienced tutors and institutes across a wide range of subjects and skills. Students can explore tutor profiles, compare expertise, and contact tutors directly for online or in-person learning.FindMyGuru facilitates discovery and connections between students and tutors or institutes. All classes and learning arrangements are handled directly between students and the respective tutors or institutes

Courses by Esuru Pooja

Course Mode:

Online

Duration:

3 Month

Language:

English, Tamil

Location:

Chennai, Oldno.9, newno.4, Ethiraj swamy koil Street Near Indira Hall Erukkencherry Chennai -600118

Pricing:

15000 INR

Batch Type:

Week Days / Weekends

However, a comprehensive Introductory AI Course for a beginner or aspiring professional would typically cover the following major modules and topics:

1. Foundations and Introduction

  • What is AI? Definition, history, and different approaches (Symbolic AI, Connectionist AI/Neural Networks).

  • Intelligent Agents: Concepts of agents, environments, and rational behavior.

  • AI Domains/Applications: Overview of how AI is used in various fields like healthcare, finance, gaming, and robotics.

  • AI Ethics and Responsible AI: Bias, fairness, transparency, and societal impact.

2. Mathematics and Programming Fundamentals (Prerequisites/Review)

  • Programming Language: Typically Python, including essential libraries like:

  1. NumPy (for numerical operations, especially arrays and matrices).

  2. Pandas (for data manipulation and analysis).

  3. Matplotlib/Seaborn (for data visualization).

  • Linear Algebra: Vectors, matrices, and their operations (crucial for neural networks).

  • Calculus: Derivatives and optimization (needed for training models like gradient descent).

  • Probability and Statistics: Probability theory, distributions, statistical significance (foundational for machine learning models).

3. Machine Learning (ML) Fundamentals

This is often the core of a practical AI course.

  • What is Machine Learning? How machines learn from data.

Types of Learning:

  1. Supervised Learning: Classification (e.g., predicting categories) and Regression (e.g., predicting a continuous value).

  2. Unsupervised Learning: Clustering (e.g., K-means) and Dimensionality Reduction (e.g., PCA).

  3. Reinforcement Learning (Basic Concept): Agents learning through trial and error.

  • Key Algorithms: Introduction to algorithms like Linear Regression, Logistic Regression, Decision Trees, K-Nearest Neighbors (KNN), and Support Vector Machines (SVM).

  • Model Evaluation: Metrics like accuracy, precision, recall, F1-score, and concepts like overfitting and underfitting.

4. Deep Learning and Neural Networks

  • Neural Network Basics: Perceptron, activation functions, and the concept of a multi-layer perceptron (MLP).

  • Training Neural Networks: Backpropagation and gradient descent.

  • Deep Learning Frameworks: Introduction to popular tools like TensorFlow and PyTorch.

  • Common Architectures (Overview):

  1. Convolutional Neural Networks (CNNs): For image processing/Computer Vision.

  2. Recurrent Neural Networks (RNNs) / LSTMs: For sequential data like text.

5. Specialization Topics (Modules on Major AI Fields)

- Natural Language Processing (NLP):

  • Text representation (e.g., Bag-of-Words, TF-IDF, Word Embeddings).

  • Applications like sentiment analysis, text generation, and named entity recognition.

-Computer Vision (CV):

  • Image manipulation and basic operations (e.g., with OpenCV).

  • Applications like image classification, object detection, and segmentation.

-Generative AI (Trending Topic):

  • Large Language Models (LLMs): Understanding what they are and their capabilities.

  • Prompt Engineering: Learning how to write effective instructions (prompts) for models like ChatGPT or Gemini.

  • Generative models like GANs and VAEs (at an intermediate level).

6. Practical Skills and Projects

  • Data Preprocessing: Data cleaning, handling missing values, and feature scaling.

  • Cloud AI Services (Overview): Introduction to platforms like Google Cloud AI, Microsoft Azure AI, or AWS AI.

  • Hands-on Projects: Building and deploying small AI/ML models on real-world datasets.

Course Mode:

Online

Duration:

3 Month

Language:

English, Tamil

Location:

Chennai, Oldno.9, newno.4, Ethiraj swamy koil Street Near Indira Hall Erukkencherry Chennai -600118

Pricing:

15000 INR

Batch Type:

Week Days / Weekends

Overall Student Ratings

4.0
★★★★★

Based on 4 ratings

5 star
25%
4 star
50%
3 star
25%
2 star
0%
1 star
0%

Get tutor location

Location: Oldno.9, newno.4, Ethiraj swamy koil Street Near Indira Hall Erukkencherry Chennai -600118, Chennai

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