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2016 was the year of AI. Kevin Kelly has stated that AI is going to make even bigger changes to the economy than the internet. If you missed out on the internet dot com bubble of the late 90s and early 2000s, now is your chance. AI is coming, and it's coming fast. And AI is also one of the most difficult things to learn. It's not taught well. Once you get past a Wikipedia article the next step is a 1000 page textbook that will take a year to read plus learning a bunch of new fields of math and programming. This course is designed to give you a birds eye view of the entire field of AI, with many of the coolest and cutting edge breakthroughs included along the way. You will learn what AI is through 4 stages. The first is Measurement. This is the aspect of AI that involves getting information into the computer, the brain, the AI, so that it can be processed. It's the process that the eyes and ears and other senses help serve for us humans and other animals who have various degrees of intelligence. The next step is Learning. A key aspect of intelligence is that an intelligent person or animal or computer has to be able to learn over time so that it doesn't keep making the same mistakes over and over. And ideally, the AI becomes something that can learn without a person always teaching it everything and looking over it's shoulder. It should be able to learn on it's own. That is where Machine Learning comes into play. You'll get an in depth overview of Machine Learning with plenty of examples. The third stage is Planning. This is the task the AI takes on where it has to decide what to do. It has to make a decision. It has to prepare to take action by looking at the various options and choosing the best one based on some kind of formula, with some metric of success to maximize. How does that all work? You'll learn all about it here. The final stage is action. How does the computer act in the real world. This is primarily the area of robotics. How do you create motors, also called "actuators" in AI parlance, that will make the AI more than just another window running on your computer? How do you create a self driving car or a robot that can walk around or express emotions on it's "face" while in conversation? You'll learn about how robots act in the real world, and some of the interesting state of the art applications in this section. For those of you who have been following along in this series, you're going to have a lot of breakthroughs here where you see some of the lower level ideas and concepts from the previous courses start to really help you understand at a deeper level how a lot of the newest technology actually works under the hood. See you inside, Timothy
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    Salesforce has done it again. They are taming the complexity of Artificial Intelligence, enabling you to make massive amounts of decisions and discover patterns in reams of data, all with clicks instead of code. This course is for the absolute beginner to Artificial Intelligence (AI), Machine Learning, Deep Learning, and Data Science. If you are feeling overwhelmed by either the tsunami of data that you are tasked with trying to make sense out of, or overwhelmed by the tsunami of media coverage around Artificial Intelligence, Deep Learning, Data Science, and Machine Learning, I am here to share a competitive advantage. There is an AI and Data Discovery platform that can be constructed and configured with clicks instead of code. That platform? Salesforce Einstein. The disruptive power of this is that Artificial Intelligence is now available to the masses, and not just to the quants and data scientists among us. You can now not only catch the competition, but leap frog past them, by leveraging Salesforce Einstein as your On-Demand Data Scientist. Salesforce is the revolutionary company that disrupted the IT Industry with the advent Cloud Computing. What started as a cloud-based CRM system is now a best-in-breed, world class enterprise platform-as-a-service for Marketing, Sales, Service, eCommerce, Health, Government, IoT, and now AI, with the release of Salesforce Einstein. In this course, we will work through the core concepts of Artificial Intelligence, in plain English. From there, we will work through signing up for a free Salesforce Einstein account (that you can keep for life) that has the new Salesforce Einstein AI engine enabled. This deep learning engine is a historic breakthrough on the computing capabilities of AI and are accessible to the masses by way of clicks instead of code. We will then work through several different practice exercises and modules to get you hands on experience with building enterprise level apps with AI baked right in. There is no coding required - you can build AI enabled apps with clicks instead of code, thanks to being able to leverage the Salesforce Einstein AI framework. I will show you how in this quick and fun course that will get you well on your way to becoming an AI expert. Are you ready to become an AI developer? Let's get started immediately!
      Inspired by Albert Einstein [1879-1955] Course summary: Learn how to identify anomaly within several similar objects with Artificial Intelligence Working with time-series sensor generated data Understand how Unsupervised Machine Learning Algorithm works using real life dataset Learn developing in R and ShinyApp with a possibility to better explore the data, instantly deploy your project Explained use of Version Control to be organized and save time Practice with real life generalized Dataset coming from Manufacturing ! Versatile method is presented using a Case Study approach. This method helped to discover real life inefficiency and to solve the problem! Start with R here! Step by step introduction with examples and practice Basic understanding on Time-Series data manipulation in R More approaches of Anomaly Detection including Deep Learning on h2o framework is covered in the course Practical Developing the idea of Industrial Process Control with Artificial Intelligence with DEMO Shiny Application included Course video captions are translated to [Chinese-Simplified, Hindi, German, French, Italian, Portuguese, Turkish, Spanish, Malay, Indonesian, Russian] languages Described: Problem-solving in Manufacturing is usually perceived as a slow and boring activity especially when many possible factors involved. At the same time it's often common that problems going on and on unobserved which is very costly. Is it possible to apply Artificial Intelligence to help human to identify the problem? Is it possible to dedicate this boring problem solving activity to computer? Apparently yes!!! This course will help you to combine popular problem-solving technique called "is/is not" with Artificial Intelligence in order to quickly identify the problem. We will use data coming from four similar Machines. We will process it through the Unsupervised Machine Learning Algorithm k-means . Once you get intuition understanding how this system work You will be amazed to see how easy and versatile the concept is. In our project you will see that helped by Artificial Intelligence Human eye will easily spot the problem. Course will also exploit different other methods of Anomaly Detection. Probably the most interesting one is to use Deep Learning Autoencoders models built with help of H2O Platform in R. Using collected data and Expert Knowledge for Process Control with AI: In this course we will build and demo-try entire multi-variables process supervision system. Process Expert should select dataset coming from the ideally working process. Deep Learning model will be fit to that specific pattern. This model can be used to monitor the process as the new data is coming in. Anomaly in the process then can be easily detected by the process operators. Ready for Production: Another great value from the Course is the possibility to learn using ShinyApp. This tool will help you to instantly deploy your data project in no time!!! In fact all examples we will study will be ready to be deployed in real scenario! Additionally: You will learn R by practicing re-using provided material. More over you can easily retain and reuse the knowledge from the course - all lectures with code are available as downloadable html files.  You will get useful knowledge on Version Control to be super organized and productive. Finally: Join this course to know how to take advantage and use Artificial Intelligence in Problem Solving
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        Our course Introduction to Big Data and Artificial intelligence for managers focuses on explaining the artificial intelligence and all related topics, like Big Data, Data science, Machine learning, Deep learning or Data Analysis. Our target is to challenge you with its implementation in your fields and companies. We will go through those topics, their meaning, characteristics, purpose and importance for every industry. During this course we will go through: Big Data meaning and characteristics Advanced data analytics and its world-wide influence Machine learning and Deep learning purpose and providing examples to explain, how it works Real success case studies from differrent companies and industries AI implementation incl. hints how to build your AI strategy, AI team and what is necessary to lead AI projects effectively and successfuly to reach the goal
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          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
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            This course will help integrate the trinity of digital, data, and AI into a cohesive business strategy along with all the emerging technologies. The goal is to take a trip 10-15 years into the future so we can figure out what new businesses are worth creating in the present and what steps need to be taken today in your firms so they will thrive in this rapidly changing environment. If we understand how human behaviors and habits will change in the future, it will allow us to shape how technology needs to evolve. Get a deeper sense of how Data is used in the Ai Transformation of a company as well as the 16 existing data battlegrounds you can complete in. You will understand the Hero Position in Data Strategy and the Hero's Journey in Ai Transformation that allows you to measure success. You will re-evaluate your firm's competitive set through the lens of data battlegrounds. Post-COVID, we all need more sales leads so we can sell more, but how to do it when we can't even leave our homes? It is all about digital prospecting and trying to develop an online relationship with your target and it is not easy, but we will explain how marketing techniques like inbound marketing and new artificial intelligence capabilities found in popular CRM systems like Hubspot and Salesforce, allow you to get and convert more leads by carefully managing sales funnel in the pre-sale (marketing), sale, and post-sale (service) stages. Build your AI-muscle and develop your AI-flexibility. We will put you in the shoes of the CEO's of the world's leading firms and ask you to decide how to deal with multiple AI opportunities and threats related to AI, Machine Learning, Natural Language Processing, Computer Vision, Robotics, Drones, Augmented Reality, Virtual Reality, Blockchain, Chatbots, Driverless Systems, etc. The future changes on a daily basis, however, if you can intelligently talk about the possibilities and anticipate the general direction, you will be leading the path and this will help you close that deal, get that interview, and land that contract. This Artificial Intelligence 101 for Business will also provide a number of frameworks to simplify the complexity surrounding the design and implementation of AI/Digital/Data initiatives and related technologies. Please make sure to see all the free videos I have left open for you to sample before buying as I want to make sure that you buy with confidence and that this course is in line with your expectations. I really do want this to be a 5-star experience for you, and if you have any questions or doubts about the course before buying it, feel free to write to me at [email protected] - I usually respond within 48-hours.
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              Do you like to know  the basic theory behind Genetic Algorithm Optimization Method? Do you like to know  the basic theory behind Particle Swarm Optimization Method? Do you like to know how to solve Travelling Salesman Problem (TSP) with a few lines of codes an Genetic Algorithm ? If you say Yes so read more ... In this course I want to learn you theory behind bio inspired algorithms like Genetic Algorithm and Particle Swarm Optimization Method. You'll learn basic genetic operators like mutation crossover and selection and how they are work. You'll learn basic concepts of Particle Swarm and how they are work. In the first part you will learn how to use python and deap library to solve optimization problem and find Min/Max points for your desired functions using Genetic Algorithm . In the 1st section you'll learn theory of Genetic Algorithm Optimization Method In the 2nd section you'll know how to use python and deap to optimize simple function precisely. In the 3rd section you'll learn how to use python and deap to find optimum point of complicated Trigonometric function . In the 4th section you'll know how to use python and deap to solve Travelling Salesman Problem (TSP) accurately. In the second part we go further you will learn how to use python and deap library to solve optimization problem using Particle Swarm Optimization In the 5th section you'll learn theory of Particle Swarm Optimization Method In the 6th section you'll know how to use python and deap to optimize simple function precisely. In the 7th section you'll learn how to use python and deap to find optimum point of complicated Trigonometric function . In the 8th section you'll know how to use python and deap to solve Rastrigin standard function accurately. ___________________________________________________________________________ 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. ___________________________________________________________________________ Music from Jukedeck - create your own at jukedeck com ___________________________________________________________________________ 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
                *** 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.
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                    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.