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Courses Key Features
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AI & Robotics Packages
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Explore AI Program
Beginner to intermediate
- Introduction to Python for Data Science
- NumPy and Pandas Basics
- Data Visualisation with Matplotlib and Seaborn
- Introduction to Machine Learning with scikit – learn
- Introduction to Data Science Projects
- Introduction to Electronics
- Microcontrollers and Arduino
- Sensors and Actuators
- Communication Protocols
- Building Simple Robotics Projects
- Introduction to Natural Language Processing (NLP)
- Introduction to ChatGPT
- Chatbot Development with ChatGPT
- Ethical Considerations in AI
- Personal Project
- Review and Additional Topics
Advance
- Advanced Python for Data Science
- Advanced NumPy and Pandas Techniques
- Data Visualisation with Seaborn and Plotly
- Machine Learning Algorithms
- Feature Engineering and Model Evaluation
- Advanced Microcontroller Programming
- Advanced Sensor Integration
- Wireless Communication with Arduino
- Advanced Robotics Conceptss
- Computer Vision for Robotics
- Advanced Natural Language Processing (NLP)
- Advanced ChatGPT Interactions
- Implementing Chatbots with Advanced Logic
- Fine-Tuning ChatGPT
- Robotics Project
- Project Refinement and Optimisation
- Review and Documentation
- Exploration of Advanced Topics
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Frequently Asked Question
what exactly is data science?
Simply put, it is an interdisciplinary field that combines various scientific methods, algorithms, and processes to extract valuable insights and knowledge from structured and unstructured data.
what skills are essential for a data scientist?
Proficiency in coding languages like Python and R, strong statistical and analytical skills, data visualization abilities, and a deep understanding of machine learning techniques are crucial.
what industries can benefit from data science?
The applications of data science are vast and diverse, impacting industries such as healthcare, finance, retail, marketing, and transportation, to name a few.
what are the steps involved in a typical data science project?
From problem identification and data collection to data cleaning, model building, and evaluation, a data science project follows a systematic approach.
what are the career prospects in data science?
With a significant rise in demand for data scientists, professionals in this field can explore exciting opportunities in various industries, earning competitive salaries and enjoying immense job satisfaction.
What is Chat GPT?
Chat GPT is a language model developed by OpenAI that utilizes artificial intelligence to generate coherent and contextually relevant responses in natural language conversations. It can simulate human-like interactions, making it useful for a range of applications such as customer service, virtual assistants, and content creation.
How does Chat GPT work?
Chat GPT is trained using Reinforcement Learning from Human Feedback (RLHF). It initially learns from a dataset of conversations between human agents, and then fine-tuned using a reward model that compares its generated responses to those of human experts. This iterative process helps improve the model’s conversational abilities and ensures more nuanced and appropriate replies.
Can Chat GPT generate accurate and reliable answers?
While Chat GPT is highly advanced and can provide impressive responses, it is important to note that it may occasionally produce incorrect or nonsensical answers. The model lacks knowledge verification mechanisms, so it relies solely on the data it has been trained on. OpenAI recommends users to review and validate the responses provided by Chat GPT to ensure accuracy and reliability
Are there any limitations to Chat GPT?
Yes, Chat GPT has a few limitations. It can sometimes be excessively verbose and may not always ask clarifying questions when faced with ambiguous queries. It can also be sensitive to input phrasing or order, resulting in varying responses. Additionally, the model may sometimes exhibit biased behavior or respond to harmful instructions, even though measures have been taken to address this issue to a great extent.
How can I provide feedback or report issues with Chat GPT?
OpenAI encourages users to provide feedback on problematic model outputs or any potential biases they encounter. Open AI has implemented a safety mitigations mechanism to minimize harmful behaviors, but user feedback plays an important role in identifying and rectifying any shortcomings. Feedback on false positives/negatives from the external content filter is also valuable for Open AI to improve the system’s performance while maintaining safety.