Chatbots are one of the most exciting and in-demand topics in tech. Gartner predicts that by 2020, 85% of businesses will have their own chatbot. If you want to learn this rapidly emerging technology, put a chatbot on your own website or make money by building chatbots for clients, this free chatbot course is for you. This course provides a practical introduction on how to build a chatbot with Watson Assistant (formerly Watson Conversation). Within it, you'll learn how to plan, build, test, analyze, and deploy your first chatbot.
Here's a list of some of the best Chatbot tutorials, courses, videos and books to help you learn Chatbots in 2018. ChatBots: How to Make a Facebook Messenger Chat Bot in 1hr by Stefan Kojouharov will help you build a Chat Bot for Facebook Messenger. This is a step by step guide in building a chatbot for Facebook Messenger. You will learn the main components of building a chatbot. This includes building the chatbot server, adding your code, deploying your chatbot to the cloud, and connecting it with Facebook Messenger.
About this course: This course will teach you how to create useful chatbots without the need to write any code. Leveraging IBM Watson's Natural Language Processing capabilities, you'll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them. True to our promise of not requiring any code, you'll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin. No worries, one will be provided to you. Chatbots are a hot topic in our industry and are about to go big.
An amateur sex toy inventor has created a smart speaker that doubles up as a voice-controlled dominatrix. British engineer Gary, who keeps his surname anonymous, created his discipline device using parts of an electrified dog collar and an Amazon Echo Dot speaker. Known as mistress Alexa, the gadget administers shocks to its wearer's genitals following a short conversation that users initiate with the phrase'Alexa, punish'. Gary, who built the device for partner Kirsty, has posted a tutorial video to YouTube to help other sex toy enthusiasts build their own dominatrix technologies. An amateur sex toy inventor has created a smart speaker that doubles up as a voice-controlled dominatrix.
Google's Assistant, its answer to Amazon's Alexa and Apple's Siri, is getting smarter, more visual, and potentially, more helpful. At the I/O conference in Mountain View, Calif., Google put the spotlight on the assistant, bringing new voices, including one from singer John Legend, and more visuals. Additionally, Google has beefed up voice commands for its popular Maps app, bringing the Assistant to the feature in the summer. Google execs offered demos on new iPad-like Smart Displays coming from Lenovo and Google later in the year, which will allow voice navigation via the Google Assistant to say, watch Jimmy Kimmel Live via YouTube TV or order lattes from Starbucks. Google emphasized that visuals will be coming to the Google Assistant app, to marry voice navigation with tools like food recipes, where you'll get spoken step-by-step instructions, along with video.
There is a shift happening in the way we as a species communicate with machines. With the advent of Amazon Alexa, Google Assistant, Apple Siri, and Microsoft Cortana, the focus on Voice User Interfaces or Voice Activated Conversational Interfaces is rapidly increasing. This ever changing world presents a threat to the way we operate, especially when we do not understand it. A more AI aware world might be years away, but if we learn how to talk to and control the machines then we grow collectively. Yes, Amazon Alexa and similar voice activated interfaces look and sound pretty cool.
Although the term "Chatbot" is still a buzz word to many people, this revolutionary technology has already been considered "the next big thing" due to massive benefits it can bring to companies across various industries. In this article, we will discuss several chatbot use cases to solidify our claim that businesses should embrace chatbots. According to a research conducted by Chatbots Journal, a leading chatbot community, E-Commerce will benefit the most from chatbots compared to other industries. Successful commerce relies much on B2C (Business-to-Consumer) interaction. Chatbots enrich the relationship between online shops and customers with "conversational commerce", making B2C interaction quicker and friendlier than just a mere business transaction.
Today we're going to talk about how computers understand speech and speak themselves. As computers play an increasing role in our daily lives there has been an growing demand for voice user interfaces, but speech is also terribly complicated. Vocabularies are diverse, sentence structures can often dictate the meaning of certain words, and computers also have to deal with accents, mispronunciations, and many common linguistic faux pas. The field of Natural Language Processing, or NLP, attempts to solve these problems, with a number of techniques we'll discuss today. And even though our virtual assistants like Siri, Alexa, Google Home, Bixby, and Cortana have come a long way from the first speech processing and synthesis models, there is still much room for improvement.
Natural language processing technologies have become quite sophisticated over the past few years. From tech giants to hobbyists, many are rushing to build rich interfaces that can analyze, understand, and respond to natural language. Amazon's Alexa, Microsoft's Cortana, Google's Google Home, and Apple's Siri all aim to change the way we interact with computers. Sentiment analysis, a subfield of natural language processing, consists of techniques that determine the tone of a text or speech. Today, with machine learning and large amounts of data harvested from social media and review sites, we can train models to identify the sentiment of a natural language passage with fair accuracy.