Deep Learning
Top 100 Machine Learning Interview Questions and Answers
In this post, we will discuss Top 100 Machine Learning Interview Questions and Answers.
Chat Bot using Python, Machine Learning, NLP, Keras and NLTK
Introduction Chatbots are often used by businesses and organizations to automate customer service, sales, and marketing interactions, as well as to provide 24/7 support to their customers. They can also be used for personal purposes, such as entertainment, education, and productivity. In this article we are going to create a Chat bot using Python, Machine…
Top 10 Things to Know About Deep Learning
Deep learning is a particular type of machine learning. It makes use of ANNs, or artificial neural networks. The artificial neural networks contains several layers that…
Top 10 Things to Know About Artificial Intelligence
Artificial intelligence, or AI, is the simulation of human intelligence in machines. It has been built to learn and make decisions similar to how individuals do.
Top 10 Things to Know About Machine Learning
Machine learning can be considered as a subset of artificial intelligence.
Multi-Modal Learning Machine Learning Examples and Styles
Multi-Model Learning Examples and Styles
ChatGPT vs Google Bard: AI Language Models
What is the Difference Between Chat GPT and Google Bard? Artificial intelligence (AI) chatbots are being used by businesses to engage with clients, and certain language-based models have changed how people behave. Two examples of the powerful language-based strategies that have since altered the online world are Chat GPT and Google Bard. Testing is currently…
ChatGPT: Reinforcement Learning from Human Feedback
ChatGPT is a smart chatbot that is launched by OpenAI in November 2022. It is based on OpenAI’s GPT-3 family of large language models and is optimized using supervised and reinforcement learning approaches. Google launched a similar language application named Bard. Read ChatGPT vs. Bard. What is ChatGPT? ChatGPT is an abbreviation for Chat Generative…
Why Naive Bayes Algorithm is NOT affected by Feature Scaling
Naive Bayes is a probabilistic algorithm that makes class predictions based on Bayes’ theorem, which states that the probability of a class given a set of features is proportional to the product of the probabilities of each feature given the class. The algorithm assumes independence between the features, so scaling the features should not affect…
Exploration vs Exploitation in Reinforcement Learning
In Reinforcement Learning, exploration vs exploitation is a fundamental trade-off that agents must navigate to learn the optimal behavior in an environment. Exploration refers to the process of trying out new actions or visiting new states in order to gain more information about the environment and improve the agent’s understanding of the rewards and transition…