📄️ AI Chatbots
Businesses are interacting with their customers in a whole new way thanks to artificial intelligence (AI) chatbots. They mimic human conversation and provide a variety of services, ranging from simple queries to complex tasks. With their ability to enhance customer service, increase engagement, and streamline operations, AI chatbots are becoming increasingly popular across a wide range of industries.
📄️ Artificial Intelligence
AI is the ability of machines to mimic human-like intelligence. It involves creating smart systems that can learn, reason, perceive, and make decisions just like humans do. Essentially, AI aims to make machines think and act intelligently.
📄️ Artificial Neural Networks
Artificial Neural Networks (ANNs) are a type of machine learning model inspired by the human brain's neural networks. They are computing systems made up of interconnected nodes (artificial neurons) that can recognize patterns, learn from data, and make decisions, much like how our brains process information.
📄️ Automated Inventory Management
Automated Inventory Management is a technology-driven approach that utilizes advanced systems and AI to manage and optimize inventory processes without human intervention. This system ensures accurate stock levels, minimizes human errors, and enhances operational efficiency, enabling businesses to maintain optimal inventory levels and meet customer demands effectively.
📄️ Batch Size?
In computer vision and deep learning, batch size refers to the number of samples or examples that are propagated through the neural network at once during training. It determines how many data points are used to calculate the error and update the model's weights in each iteration.
📄️ Computer Vision
Computer Vision is a fascinating field of artificial intelligence that aims to give machines the ability to see and understand visual information, just like we humans do. It involves creating algorithms and systems that can interpret, analyze, and make sense of digital images and videos. Essentially, it's about teaching computers to "see" and comprehend the world around them.
📄️ Conversational Commerce?
Conversational Commerce refers to the intersection of messaging apps and shopping. It involves using chatbots, messaging apps, and voice assistants to facilitate the buying and selling of products and services. This approach allows businesses to engage with customers in a more personalized and interactive way.
📄️ Convolutional Neural Networks (CNNs)?
Convolutional Neural Networks(CNNs) are a type of deep learning model designed to process data with a grid-like topology, such as images. They are inspired by the visual cortex of the human brain and excel at recognizing patterns and features in visual data.
📄️ Dataset
Datasets are collections of information that serve as the fuel for machine learning and data analysis. They're like treasure troves of facts, observations, or measurements, neatly organized for computers to digest. A dataset could be anything from a simple list of names and addresses to a massive collection of images or a complex table of financial transactions.
📄️ Deep Learning
Deep Learning is a cutting-edge subset of machine learning that involves training artificial neural networks with vast amounts of data. These neural networks, inspired by the human brain, can learn to recognize patterns and make decisions on their own, much like how we humans learn and make decisions.
📄️ Dynamic Pricing
Dynamic pricing allows businesses to adjust their prices in real time according to demand, competition, and market conditions. It involves the use of algorithms and data analysis to set flexible prices rather than sticking to fixed pricing models.
📄️ Epoch
An epoch in machine learning is one complete pass of the entire training dataset through the algorithm. It is a hyperparameter that defines the number of times the model will see the entire training dataset. The number of epochs is typically an integer value between 1 and infinity.
📄️ Image Classification
Image classification is the process of categorizing images into predefined classes or categories based on their visual content. It uses machine learning algorithms to analyze and identify patterns, features, and characteristics within images.
📄️ Image Recognition
Image recognition, also known as computer vision, is the process of identifying and interpreting objects, patterns, and features within images. It enables computers to 'see' and understand the content of images, allowing for a wide range of applications.
📄️ Image Segmentation?
In computer vision, image segmentation involves dividing an image into multiple segments to simplify or modify its representation. It helps in analyzing and interpreting visual data for various applications by separating objects and boundaries within an image.
📄️ Knowledge Representation and Reasoning (KR&R)?
Knowledge Representation and Reasoning (KR&R) is a field within artificial intelligence that deals with representing information in a way that can be processed by computers and using that knowledge to draw inferences, make decisions, and solve problems.
📄️ Learning Rate
The learning rate is a hyperparameter in machine learning that controls how much the model's parameters are updated in each iteration. A higher learning rate means that the model's parameters will be updated more aggressively, while a lower learning rate means that the model's parameters will be updated more slowly.
📄️ Machine Learning
Machine Learning is a field of artificial intelligence that enables computers to learn and improve from experience without being explicitly programmed. It involves developing algorithms and statistical models that allow systems to perform specific tasks effectively without using traditional instructions.
📄️ Object Detection
Object detection is a computer vision technique that identifies and locates objects in images and videos. Using image classification and localization, it identifies objects and their positions, providing valuable information about visual content.
📄️ Object Tracking
Object tracking is a deep learning process in order to estimate or predict the position of a specific object or any other relevant information of moving objects in each consecutive frames of a video.
📄️ Personalized Product Recommendations
Customer recommendations are tailored according to their preferences, behaviors, and past interactions. By leveraging data and advanced algorithms, businesses can offer relevant products to each customer, enhancing their shopping experience and increasing sales.
📄️ Recommendation Engine
An advanced recommendation engine analyzes user data to suggest products, services, or content based on individual preferences. Using algorithms and data analytics, these engines enable businesses to deliver personalized experiences to users, enhancing engagement and satisfaction.
📄️ Video Recognition
Video recognition is a deep learning process where a computer acquires, analyses and processes the visual data i.e. videos and extracts the information from each consecutive frames.
📄️ Voice Assistant
Voice assistants are digital applications that recognize and respond to user commands and queries using speech synthesis, natural language processing, and voice recognition technologies. As a result, users can interact with their devices hands-free using assistants like Amazon Alexa, Google Assistant, and Apple Siri.