Do your non-player characters lack drive and ambition?  Are they slow, stupid and constantly banging their heads against the wall? Then this course is for you.  Join Penny as she explains, demonstrates and assists you in creating your very own NPCs in Unity with C#. All you need is a sound knowledge of Unity, C# and the ability to add two numbers together. In this course, Penny reveals the most popular AI techniques used for creating believable character behaviour in games using her internationally acclaimed teaching style and knowledge from over 25 years working with games, graphics and having written two award winning books on games AI. Throughout, you will follow along with hands-on workshops designed to teach you about the fundamental AI techniques used in today's games.  You'll join in as NPCs are programmed to chase, patrol, shoot, race, crowd and much more. Learn how to program and work with: vectors waypoints navmeshes the A* algorithm crowds flocks animated characters vehicles Contents and Overview The course begins with a detailed examination of vector mathematics that sits at the very heart of programming the movement of NPCs. Following this, systems of waypoints will be used to move characters around in an environment before examining the Unity waypoint system for car racing with AI controlled cars.  This leads into an investigation of graph theory and the A* algorithm before we apply these principles to developing navmeshes and developing NPCs who can find their way around a game environment.  Before an aquarium is programmed complete with autonomous schooling fish, crowds of people will be examined from the recreation of sidewalk traffic, to groups of people fleeing from danger. Having examined the differing ways to move NPCs around in a game environment, their thinking abilities will be discussed with full explanations and more hands-on workshops using finite state machines and behaviour trees. The follow-along workshops included in the course come with starter Unity asset files and projects complete with solutions.  Throughout, there are also quizzes and challenge exercises to reinforce your learning and guide you to express your newfound knowledge. At the completion of this course you will have gained a broad understanding of what AI is in games, how it works and how you can use it in your own projects.  It will equip you with a toolset to examine any of the techniques presented in more depth to take your game environments to the next level. What students are saying about this course: This has been my favourite Udemy-Unity course so far. It took me from literally 0% knowledge of how game AI is achieved, and took me to a whole new level. Waypoints, pathfinding, state machines, etc etc etc are all covered in-depth and will reveal the magic (spoiler alert: it isn't magic) behind making your computer characters seem like they really have a mind of their own. Oh My God. I love her way of teaching things. I haven’t finished this course yet. But all i can say is that it is another brilliant course from her. Artificial intelligence by itself is a tricky thing to do. And before starting this course i never thought that i will understand anything in it. But i was wrong. With her style of teaching, you will learn how to move your characters in an ”intelligent“ way. This course is perfectly sliced and the pace is wonderful.

Welcome to Deep Reinforcement Learning 2.0! In this course, we will learn and implement a new incredibly smart AI model, called the Twin-Delayed DDPG, which combines state of the art techniques in Artificial Intelligence including continuous Double Deep Q-Learning, Policy Gradient, and Actor Critic. The model is so strong that for the first time in our courses, we are able to solve the most challenging virtual AI applications (training an ant/spider and a half humanoid to walk and run across a field). To approach this model the right way, we structured the course in three parts: Part 1: Fundamentals In this part we will study all the fundamentals of Artificial Intelligence which will allow you to understand and master the AI of this course. These include Q-Learning, Deep Q-Learning, Policy Gradient, Actor-Critic and more. Part 2: The Twin-Delayed DDPG Theory We will study in depth the whole theory behind the model. You will clearly see the whole construction and training process of the AI through a series of clear visualization slides. Not only will you learn the theory in details, but also you will shape up a strong intuition of how the AI learns and works. The fundamentals in Part 1, combined to the very detailed theory of Part 2, will make this highly advanced model accessible to you, and you will eventually be one of the very few people who can master this model. Part 3: The Twin-Delayed DDPG Implementation We will implement the model from scratch, step by step, and through interactive sessions, a new feature of this course which will have you practice on many coding exercises while we implement the model. By doing them you will not follow passively the course but very actively, therefore allowing you to effectively improve your skills. And last but not least, we will do the whole implementation on Colaboratory, or Google Colab, which is a totally free and open source AI platform allowing you to code and train some AIs without having any packages to install on your machine. In other words, you can be 100% confident that you press the execute button, the AI will start to train and you will get the videos of the spider and humanoid running in the end.

In this Course you learn k-Nearest Neighbors & Naive Bayes Classification Methods. In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression. k-NN is a type of instance-based learning, or lazy learning, where the function is only approximated locally and all computation is deferred until classification. The k-NN algorithm is among the simplest of all machine learning algorithms. For  classification, a useful technique can be to assign weight to the contributions of the neighbors, so that the nearer neighbors contribute more to the average than the more distant ones. The neighbors are taken from a set of objects for which the class (for k-NN classification). This can be thought of as the training set for the algorithm, though no explicit training step is required. In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features. Naive Bayes classifiers are highly scalable, requiring a number of parameters linear in the number of variables (features/predictors) in a learning problem. Maximum-likelihood training can be done by evaluating a closed-form expression, which takes linear time, rather than by expensive iterative approximation as used for many other types of classifiers. In the statistics and computer science literature, Naive Bayes models are known under a variety of names, including simple Bayes and independence Bayes. All these names reference the use of Bayes' theorem in the classifier's decision rule, but naive Bayes is not (necessarily) a Bayesian method . In this course you learn how to classify datasets by k-Nearest Neighbors Classification Method to find the correct class for data and reduce error. Then you go further  You will learn how to classify output of model by using Naive Bayes Classification Method. In the first section you learn how to use python to estimate output of your system. In this section you can classify: Python Dataset IRIS Flowers Make your own k Nearest Neighbors Algorithm In the Second section you learn how to use python to classify output of your system with nonlinear structure .In this section you can classify: IRIS Flowers Pima Indians Diabetes Database Make your own Naive Bayes  Algorithm ___________________________________________________________________________ Important information before you enroll: In case you find the course useless for your career, don't forget you are covered by a 30 day money back guarantee, full refund, no questions asked! Once enrolled, you have unlimited, lifetime access to the course! You will have instant and free access to any updates I'll add to the course. I will give you my full support regarding any issues or suggestions related to the course. Check out the curriculum and FREE PREVIEW lectures for a quick insight. ___________________________________________________________________________ It's time to take Action! Click the " Take This Course " button at the top right now! .. .Don't waste time! Every second of every day is valuable ... I can't wait to see you in the course! Best Regrads, Sobhan

Interested in the field of Artificial Intelligent? Then this course is for you! This course has been designed to learn complex theory, algorithms and coding libraries in a simple way. We will walk you step-by-step into the World of AI. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time we dive deep into different aspects of AI. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. This course includes Python code templates which you can download and use on your own projects.

In statistics, Logistic Regression , or logit regression, or logit model is a regression model where the dependent variable (DV) is categorical. This article covers the case of a binary dependent variable—that is, where the output can take only two values, "0" and "1", which represent outcomes such as pass/fail, win/lose, alive/dead or healthy/sick. Cases where the dependent variable has more than two outcome categories may be analysed in multinomial logistic regression, or, if the multiple categories are ordered, in ordinal logistic regression. In the terminology of economics, logistic regression is an example of a qualitative response/discrete choice model. Logistic Regression was developed by statistician David Cox in 1958. The binary logistic model is used to estimate the probability of a binary response based on one or more predictor (or independent) variables (features). It allows one to say that the presence of a risk factor increases the odds of a given outcome by a specific factor. Polynomial Regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modelled as an nth degree polynomial in X . Polynomial regression fits a nonlinear relationship between the value of X and the corresponding conditional mean of Y. denoted E(y |x), and has been used to describe nonlinear phenomena such as the growth rate of tissues, the distribution of carbon isotopes in lake sediments, and the progression of disease epidemics. Although polynomial regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the data. For this reason, Polynomial Regression is considered to be a special case of multiple linear regression. The predictors resulting from the polynomial expansion of the "baseline" predictors are known as interaction features. Such predictors/features are also used in classification settings. In this Course you learn Polynomial Regression & Logistic Regression You learn how to estimate  output of nonlinear system by Polynomial Regressions to find the possible future output Next you go further  You will learn how to classify output of model by using Logistic Regression In the first section you learn how to use python to estimate output of your system. In this section you can estimate output of: Nonlinear Sine Function Python Dataset Temperature and CO2 In the Second section you learn how to use python to classify output of your system with nonlinear structure .In this section you can estimate output of: Classify Blobs Classify IRIS Flowers Classify Handwritten Digits ___________________________________________________________________________ Important information before you enroll: In case you find the course useless for your career, don't forget you are covered by a 30 day money back guarantee, full refund, no questions asked! Once enrolled, you have unlimited, lifetime access to the course! You will have instant and free access to any updates I'll add to the course. You will give you my full support regarding any issues or suggestions related to the course. Check out the curriculum and FREE PREVIEW lectures for a quick insight. ___________________________________________________________________________ It's time to take Action! Click the " Take This Course " button at the top right now! .. .Don't waste time! Every second of every day is valuable ... I can't wait to see you in the course! Best Regrads, Sobhan Music from Jukedeck - create your own at http: // jukedeck .com

*** AS SEEN ON KICKSTARTER *** Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering: How to start building AI with no previous coding experience using Python How to merge AI with OpenAI Gym to learn as effectively as possible How to optimize your AI to reach its maximum potential in the real world Here is what you will get with this course: 1. Complete beginner to expert AI skills – Learn to code self-improving AI for a range of purposes. In fact, we code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means. 2. Code templates – Plus, you’ll get downloadable Python code templates for every AI you build in the course. This makes building truly unique AI as simple as changing a few lines of code. If you unleash your imagination, the potential is unlimited. 3. Intuition Tutorials – Where most courses simply bombard you with dense theory and set you on your way, we believe in developing a deep understanding for not only what you’re doing, but why you’re doing it. That’s why we don’t throw complex mathematics at you, but focus on building up your intuition in coding AI making for infinitely better results down the line. 4. Real-world solutions – You’ll achieve your goal in not only 1 game but in 3. Each module is comprised of varying structures and difficulties, meaning you’ll be skilled enough to build AI adaptable to any environment in real life, rather than just passing a glorified memory “test and forget” like most other courses. Practice truly does make perfect. 5. In-course support – We’re fully committed to making this the most accessible and results-driven AI course on the planet. This requires us to be there when you need our help. That’s why we’ve put together a team of professional Data Scientists to support you in your journey, meaning you’ll get a response from us within 48 hours maximum.

This course is an exploration of the technology and philosophy that will shape the next 20 to 30 years. We'll develop our big picture understanding of where the world is going and when. The course will also challenge us to ask some of the deepest questions that we'll be faced with in the near future; who are we? what do we want? and how can we create what we want? Here's a breakdown of the course's sections: Section 1: Getting Started In the first section we start by gaining a fundamental understanding of what technology and philosophy are and why it's important that we bring them together. Section 2: 6 D's of Exponential Growth This section covers the pace and qualities of technology growth. People often say that you can't predict the future, which is somewhat true, but we can definitely build a framework for understanding our direction more accurately. Section 3: Technologies & Trends In the last section we cover the technologies and trends that will likely have the biggest impacts in the next 20 to 30 years. By getting a feel for these and how they come together, we'll build more clear vision for the future. Here are some of the topics included: Nanotechnology - How will the shrinking of our technology change our tools and our world? Artificial Intelligence - A.I. will completely reshape our relationship with computers, our cities, and our daily lives. What will this look like and when? Immortality & Aging - For the first time in history, we have the chance to reprogram our biology away from aging and disease. What questions will this pose for us? What are the steps to defeating death? Internet of Things - What happens when the physical world comes online and becomes intelligent? Augmented & Virtual Realities - Our technology isn't something that only exists in the physical reality we're used to. With virtual and augmented reality, we're enhancing the real world and creating entirely new worlds.

Artificial Intelligence (AI) seems to be a unique technology of making a machine, a robot fully autonomous. AI is an analysis of how the machine is thinking, studying, determining, and functioning when it is trying to solve problems. These kinds of problems are present in all fields, the most emerging ones, and even beyond. The aim of Artificial Intelligence is to enhance machine functions relating to human knowledge, such as reasoning, learning, and problems along with the ability to manipulate things. For example, virtual assistants or chatbots offer expert advice. Smart robots or robot advisors will provide instant research or findings in the fields of finance, insurance, law, the media, and journalism, and medical diagnosis and support will be provided by AI software on the health front. Other advantages include increasing productivity dramatically in research and development programs by reducing time to the market, enhancing the transport and supply chain networks and improving governance by improved decision-making processes etc. Artificial Intelligence technology is aiding the following prominent fields for 2021 and many others: Website Creation - Artificial Intelligence tools can help to create websites and landing pages in merely minutes. App Creation - Artificial Intelligence tools can help to automate the whole concept of creating apps. Natural Language Processing (NLP) − This process is simulating the actual interaction with the computer that understands natural language spoken by humans. Expert Systems − Learners and users will be provided with guided information and advice on the computer or software. Vision Systems − Artificial Intelligence (AI) systems in 2021 can understand, explain and describe the computer's visual input to the ultimate core. Spoken Word or Speech Recognition − Many Artificial Intelligence (AI) based speech recognition systems are capable of listening, voicing and recognizing the user input - i.e. when a person speaks with them. Alexa, Siri and Google's assistant, are examples of this function. Machine Learning - Artificial Intelligence (AI) can help users to create and experiment with machine learning models and build data science applications in a flash. Video Creation - Artificial Intelligence (AI) can help to automate video production and cut high costs of hiring resources and team as everything is taken care of in the cloud. Python and Coding tools - Artificial Intelligence (AI) can help to automate writing lakhs of lines of code in python and even Java or PHP in minutes without the need for a human coder or even someone who will debug the code. Everything is automated in the concept of AI-powered programming. This mind-blowing exhaustive course titled "Artificial Intelligence Expert Certification" taught by Digital Marketing Legend Srinidhi Ranganathan and Civil MasterMind Saranya Srinidhi will change your perspective on the concept of Artificial Intelligence forever to rely on AI tools of the future for your needs. We will cover 100's of Artificial Intelligence (AI) tools that are highly popular in the following fields that include: Machine Learning, Deep Learning, Digital Marketing, Research, Analytics, Voice-cloning, Mind-Cloning, Video Creation, Virtual Reality (VR) based Artificial Intelligence tools etc. As you learn these AI tools you will understand that Artificial Intelligence has so much evolved in the last 2 to 5 years. You will also see the growth of the emergence of Artificial Intelligence (AI) tools across industries that have exploded and its impact on business and society that is emerging at a quick pace. In this incredible journey, you will also encounter businesses that are pushing the limits of automation, search and social media. As you slowly realize that with the brain of a computer, AI would potentially automate control in such sectors as self-employed vehicles and non-manned drones, you will be left spellbound. "Artificial Intelligence (AI) will not only reduce costs by automating processes but also skyrocket revenues by helping startups and corporates introduce new product and service categories at the fastest speed ever imagined with limited resources." But, will jobs die as automation takes over? Will AI will surpass human intelligence in 2021, itself? The answer to these questions is a "No". The development and eventual growth in AI apps helping in productivity will provide workers with a range of opportunities to improve their skills and concentrate on creative aspects. Stating additional forecasts, disruptive market trends are highly likely to occur in the AI Expansion period (i.e. 2025-2030), the opportunity for employment would require a high degree of personalization, innovation or ability tasks which will still require a person to perform them (even though the AI robotic tools have actually speeded up the process). These occupations or technologies are difficult to imagine at this stage, yet these occupations will rapidly increase as new specializations are required when the demand would kick in. The time is coming soon for a global Artificial Intelligence (AI) revolution to strongly emerge. Okay. Let's start learning and go on an adventure in Artificial Intelligence. Enroll Now and I will see you inside. Let's rock this world with learning secretive tools. Don't waste any more time. Special Note: Several Artificial Intelligence (AI) coding tools will be taught in the course. Most of the tools will be free and also paid alternatives will be covered. You can choose the best tools according to your requirements with the correct features during usage.

What is this 2021 Website Design course all about? Website design is the art and science of building the look, feel, and how a website functions in a nutshell. This course is having clear, concise, and easy to use website design technologies and will ultimately lead to a better user experience for your custom audience or clients. There are many aspects of successful website design like HTML, colors, layouts, text size, graphics, and so much more. But, this course is a huge differentiator in the design field as it uses artificial intelligence-based website design state-of-the-art technologies that are covered nowhere in the world. If you've been wondering how to learn website design, you've come to the right place - after all. Why website design is needed for a successful online presence? Having a good website is the backbone of every business and to achieve this successful feat, typically we need website design developers, content marketers, SEO specialists, etc. in an organization. But, some website design developers charge a lot of money outside in the market and other freelancing marketplaces to design websites using content management platforms like WordPress CMS. In fact, tools like Bookmark in website design will help advance your web-design career, altogether. This course is both a beginner's website design course and an advanced course for web developers. Jobs in Website Design in 2021: According to Glassdoor, you can expect an average salary of $64,468 in the United States for doing website design. As your experience grows in website design all the time, you can expect to see higher salary ranges in the upcoming future. For example, you can expect an average Junior Website Designer to make around $62k in the United States alone and Rs. 2-3 Lakhs in India. As a Front End Website Design Developer, you can expect to make over $90k abroad. Introduction to the website design course powered by Artificial Intelligence technology: In the beginning website, design developers and designers designed websites using HTML. Soon, the internet was formless and empty, darkness was over the surface of the deep web, and the Spirit of Code was hovering over the pinnacle of utmost ignorance. We’ve come a long way from that time. The internet is still a dark, dreadful place, but it’s much more stylish, sophisticated, and amazing now. Website Design has grown exponentially in scale and sophistication over the last few years, thanks to new Artificial Intelligence-based website creation tools that are dominating the digital marketing industry. The technology is still in its infancy stage, however - but machine learning is enabling artificial design intelligence (ADI) to understand creative rules and apply them independently and in an intuitive and more attractive way - for that matter. Artificial design technology will soon be advanced enough to automate a lot of web design work in the near future too. New thought leaders would emerge and new courses like this would serve to be game-changers in the artificial intelligence-powered digital marketing space. This game-changing course titled "Artificial Intelligence in Web Design Certification" taught by Digital Marketing Legend "Srinidhi Ranganathan" will cover artificial intelligence tools in website, chatbot design, and analytics in website design which will help you to create a website in merely minutes in 2021. I will teach you to easily create websites in the fastest time possible using advanced website design tools or design techniques and customize your site look and feel according to your requirement in a simple drag-and-drop timeline by talking to chatbots. Why learn this artificial intelligence game-changing course on website design and how is this a differentiator? This website design course can change your life as a web developer or marketer. With no coding experience, you can create amazing looking websites and pave the path for unlimited designs and interchange content and play god using artificial intelligence tech. This course will save you a ton of time when it comes to creating websites without using any expensive website design tool and without using complex tools like WordPress etc. You do not even need to outsource websites to other agencies ever again as you can do it yourself now in minutes. About Bookmark - The 2021 Artificial Intelligence Based Website Design Builder Bookmark is an AI-powered website builder to help you design amazing websites at lightning speed. Bookmarks AI software AiDA (Artificial Intelligence Design Assistant) - The algorithm behind the website design empowers the non-technical entrepreneur and small business owner with the ability to instantly create an exceptional website that one can be proud of. AiDA eliminates up to 90% of the pain points associated with website design and creation by building a brand new, striking website in less than 30 seconds and then simply walks the user through the process of editing content and design. AiDA's features taught in the course comprises automatically moving the mouse cursor to aid in the website design process and instant change of website design style and fonts in a matter of minutes. The question is "Are you ready to get into action and embrace the power to leverage artificial intelligence in website design using AiDA?”. If yes, plunge into action right away by signing up NOW. All the best to become an Artificial Intelligence Web-Design Creator.

"I learned a lot with this course. It gives you a step by step guide to game design. If you have an idea on a game that you want to create, this course has many different games which provide you with practical knowledge and experience in coding." - Jessica O. Learn to make mini games in this epic course, using Google Cardboard mobile VR and A Star algorithms for Unity. You'll also learn to make 3D art in Blender. A wildly successful Kickstarter funded this course First you will learn how to make a game that uses the A Star pathfinding algorithm. You will learn how to use the A Star algorithm to make a 2D game in Unity 2017.3. A Super Tank on a maze will find the best way to go to a point you click. The tank will collect objects along its path. A* is also important to avoid dangers like a cliff while getting to a destination. As well - suppose a game's level has two paths. You can program your artificial intelligence player to think on its own. It can choose a better path to avoid monsters and other obstacles. Our two very talented instructors, Kevin Liao and Glauco Pires, explain everything from a basic, beginner level. That means, you don't have to have any prior coding or digital art experience to succeed here. For each VR game, Glauco Pires will take you through the process of coding the game in Unity® 5.4.3f1 from scratch. Kevin Liao will teach you how to create all the artistic elements you will need to complete the game. For 3D modeling you will learn to use the amazing free program Blender. We really hope you decide to purchase this course and take your knowledge to the next level!