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A lot of solutions to key problems in the financial world require predicting the future patterns in data from the past to make better financial decisions right now. The evolution of modern machine learning methods and tools in recent years in the field of computer vision bring promise of the same progress in other important fields such as financial forecasting. In this course, you'll first learn how to quickly get started with ML in finances by predicting the future currency exchange rates using a simple modern machine learning method. In this example, you'll learn how to choose the basic data preparation method and model and then how to improve them. In the next module, you'll discover a variety of ways to prepare data and then see how they influence models training accuracy. In the last module, you'll learn how to find and test a few key modern machine learning models to pick up the best performing one. After finishing this course, you'll have a solid introduction to apply ML methods to financial data forecasting. About The Author Jakub Konczyk has enjoyed and done programming professionally since 1995. He is a Python and Django expert and has been involved in building complex systems since 2006. He loves to simplify and teach programming subjects and share it with others. He first discovered Machine Learning when he was trying to predict the real estate prices in one of the early stage start-ups he was involved in. He failed miserably. Then he discovered a much more practical way to learn Machine Learning that he would like to share with you in this course. It boils down to “Keep it simple!” mantra.

This course with ChatGPT is the perfect opportunity for aspiring developers and anyone interested in machine learning to learn how to build an AI application from scratch and take part in the massive upcoming market opportunity early on. Using the OpenAI API and the latest web development technologies such as React, Next.js, JavaScript, Node, and CSS, you will learn how to create a fully functional AI-powered application that can generate pet names for users. Throughout the course, you will gain hands-on experience with React Hooks, and learn how to use Fetch to make API calls and npx to run Node commands. By the end of the course, you will have a full working application that you can add to your portfolio and use as a valuable tool for job interviews. Whether you're a beginner or an experienced developer, this course with chatGPT is designed to give you the knowledge and skills you need to take your development skills to the next level. Not only will you learn how to build an AI application, but you will also gain a deeper understanding of machine learning, which is an in-demand skill in today's job market. By taking this chatGPT OpenAI course, you will have the opportunity to work on a real-world project that you can showcase to potential employers and demonstrate your ability to work with cutting-edge technologies. The application that you will build is not only useful but also fun and interactive, which will make your learning experience even more enjoyable. Enroll now and join our community of aspiring developers and machine learning enthusiasts as we build a chatbot using OpenAI's GPT-3 technology. By the end of the course, you will have a full working application and the skills to create your own AI-powered projects. The world is shifting more and more towards learning and working at home. This is an opportunity for you to start learning the most in demand skills, showcase those coding development skills, and gain the experiences you need to develop your passion into something real. ChatGPT is not a replacement, but an enhancing tool and an incredibly powerful tool when it comes to programming and analyzing code, and ignoring the utility now or at the very least not giving it a proper test run could very well be missing out early on gaining the advantage This is the definitive ChatGPT Developer API course. After completing the final project, you will have gone through the following tools and technologies: What's in this course? - How to build an AI application using the OpenAI API and web development technologies - Hands-on experience with React, Next.js, JavaScript, Node, and CSS - How to use Fetch to make API calls to OpenAI and npx to run Node commands - How to use React Hooks and build interactive interfaces for ChatGPT style Apps - How to implement machine learning concepts in a real-world project - How to create a fully functional AI-powered application that generates pet names for users - How to add the application to your portfolio and use it as a valuable tool for job interviews - How to gain a deeper understanding of machine learning and the skills to create your own AI-powered projects - How to work on a real-world project and showcase it to potential employers - How to learn in a fun and interactive environment and join a community of aspiring developers and machine learning enthusiasts. This course is a focused employable bootcamp into coding on projects with ChatGPT and OpenAI And in case if you are wondering if you need any experience to get started - You do not need any web development or programming knowledge to get started! This course requires zero prior knowledge to get started! Some basic web development skills including Javascript would definitely move you through the course at a much faster pace than others, however, this course includes introductory sections (they are purely optional) so that we all move through the key lessons together regardless of our skill level! Please see the full curriculum, the free preview videos and whenever you’re ready... Looking forward to seeing you in the lessons!

This course provides a comprehensive overview of the core concepts, technologies, and methodologies behind modern software development. Key areas of focus include: - Programming Paradigms: Explore the diverse ways in which programming languages approach problem-solving. Gain an understanding of imperative programming (step-by-step instructions), object-oriented programming (data and behavior as objects), and functional programming (focus on pure functions and avoiding state changes). - Front-End vs. Back-End Development: Learn the distinction between the user-facing side of websites and applications (front-end) and the logic and data management happening behind the scenes (back-end). Discover how HTML, CSS, and JavaScript shape the visual presentation, while languages like Python, Java, or Ruby on Rails drive server-side functionality. - Compiling vs. Interpreting: Understand the fundamental ways in which the code you write is translated into instructions a computer can execute. Delve into how compilers transform source code into machine-level instructions and how interpreters execute code in a more dynamic fashion. - The Power of Frameworks: Discover how frameworks provide structure and accelerate web development projects with their pre-built components, design patterns, and tools. Explore popular options like React, Angular, Django, and Spring, understanding the benefits they offer in terms of organization and efficiency. Upon completing this course, students will be able to: - Grasp the core principles of programming languages and their role in software development. - Differentiate between front-end and back-end development technologies and the typical languages used in each area. - Explain the concepts of code compilation and interpretation, including trade-offs between the two approaches. - Understand the purpose of frameworks, how they streamline development, and when to employ them effectively. - Build a foundation for further exploration of specific languages, frameworks, and development domains.

Unlock the secrets of Artificial General Intelligence (AGI) and explore the cutting-edge technologies shaping our future in this comprehensive course. Whether you're an AI researcher, technology professional, or simply passionate about the future of machine intelligence, this in-depth program will equip you with the knowledge and skills to navigate the complex landscape of AGI. Dive into the fundamentals of AGI, from its core components and levels to the key challenges researchers face in developing thinking machines. You'll survey the major approaches driving AGI breakthroughs, including deep learning, reinforcement learning, and neuro-symbolic AI, and discover the companies at the forefront of this transformative field, like DeepMind, OpenAI, and Google. But AGI is about more than just the technology – it also raises profound ethical questions and societal implications. That's why this course places a strong emphasis on responsible AI development, exploring crucial topics like value alignment, transparency, and robustness. You'll grapple with the key ethical issues surrounding AGI and understand the vital role of governance frameworks in ensuring this technology benefits humanity. Throughout the course, you'll learn from leading experts who will provide an evidence-based perspective on the current state and future trajectory of AGI. You'll come away with a realistic understanding of how close we are to achieving human-level AI and the transformative impact it could have on our economy and society. Whether you're looking to advance your research, inform your business strategy, or simply satisfy your intellectual curiosity, this course will give you a solid foundation in the key concepts, technologies, and debates shaping the quest for artificial general intelligence. By the end, you'll have the knowledge and skills to critically engage with one of the most important technological developments of our time.

Welcome to "AI Made Easy," a comprehensive course designed to open the doors to the fascinating world of Artificial Intelligence (AI) for everyone. Whether you are a beginner or a professional looking to enhance your knowledge, this course offers a step-by-step guide to understanding and working with AI. Our curriculum covers essential concepts such as data handling, algorithms, computational power, deployment, and maintenance. Learn the main building blocks of AI through engaging lessons and real-world examples. Dive into practical projects, such as building an email spam filter, to see AI in action and gain hands-on experience. What sets "AI Made Easy" apart? Here's what you can expect: - Beginner-Friendly Approach: Start from the basics and gradually build your skills. You don't need any prior knowledge of AI. - Real-World Application: Apply AI concepts to practical scenarios, enhancing your ability to innovate and solve problems. - Expert Instruction: Benefit from an experienced instructor who provides clear explanations, support, and guidance throughout your AI journey. - Community Engagement: Join a collaborative learning community where you can share ideas, ask questions, and learn from others. This course offers you the opportunity to transform your career, studies, or personal projects by embracing the future of AI. You'll gain insights into the technologies shaping our world, from algorithms to deployment tools. Join "AI Made Easy" today and take the first step towards becoming a confident AI practitioner. Your AI adventure starts here!

Are you ready to explore the cutting-edge intersection of artificial intelligence (AI) and drug discovery? Welcome to the "Basic Course in AI-Driven Drug Discovery," where you will gain comprehensive insights into how AI transforms the pharmaceutical industry. This course is designed for students, professionals, and enthusiasts interested in understanding and leveraging AI technologies to revolutionize drug discovery and development processes. Throughout the course, you will learn about the fundamental principles, challenges, and prospects of AI in this dynamic field. This course is led by the founder of Swalife Biotech, a pioneering company at the forefront of AI-driven drug discovery. Swalife Biotech utilizes advanced AI technologies to streamline and enhance its drug discovery process. For example, they use machine learning algorithms to analyze large datasets for identifying potential drug targets and predicting drug efficacy. Additionally, Swalife leverages AI to optimize its R&D processes, significantly reducing the time and cost associated with bringing new drugs to market. By enrolling in this course, you'll benefit from real-world examples and insights directly from an industry leader who is actively shaping the future of pharmaceutical research. We are providing internship opportunities for selected students after the completion of this course. This course is perfect for students or professionals interested in the field of AI.

Unleash the Power of ChatGPT: Write Anything You Want with Our Expert-Led Course Struggling to craft effective prompts and unlock the true potential of ChatGPT? Our comprehensive Udemy course, ChatGPT Prompt Mastery: Write Anything You Want with AI, is designed to transform you from a prompt novice to a confident AI writing pro. In this course, you'll learn everything you need to know about prompt engineering for ChatGPT, including: - The fundamentals of ChatGPT and prompt design: Grasp the core concepts and best practices for crafting powerful prompts. - Advanced prompt engineering techniques: Discover how to tailor prompts for specific creative writing styles, marketing copy, SEO optimization, and more. - Bypassing writer's block: Learn to generate unique ideas and overcome creative roadblocks using ChatGPT's capabilities. - Unlocking ChatGPT's creative potential: Explore techniques for writing different content formats like poems, scripts, code, musical pieces, and emails. - Boosting your content marketing and SEO: Craft compelling ad copy, social media posts, and website content that ranks higher in search engines. This course is perfect for: - Writers, marketers, and content creators looking to leverage AI for more efficient and effective content production. - Anyone interested in exploring the creative possibilities of ChatGPT and artificial intelligence. - Beginners with no prior experience who want to learn the art of prompt engineering from scratch. Enroll now and receive exclusive access to: - Downloadable templates and cheat sheets: Simplify prompt creation and reference key techniques easily. - Real-world case studies: See how successful professionals leverage ChatGPT prompts in their work. - A supportive instructor-led community: Get your questions answered and connect with fellow learners. Stop settling for generic AI writing. Take your content creation to the next level with ChatGPT Prompt Mastery!

Updated with Neural Collaborative Filtering (NCF), Tensorflow Recommenders (TFRS) and Generative Adversarial Networks for recommendations (GANs) Learn how to build machine learning recommendation systems from one of Amazon's pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation systems. You've seen automated recommendations everywhere - on Netflix's home page, on YouTube, and on Amazon as these machine learning algorithms learn about your unique interests, and show the best products or content for you as an individual. These technologies have become central to the largest, most prestigious tech employers out there, and by understanding how they work, you'll become very valuable to them. We'll cover tried and true recommendation algorithms based on neighborhood-based collaborative filtering, and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks. Along the way, you'll learn from Frank's extensive industry experience to understand the real-world challenges you'll encounter when applying these algorithms at large scale and with real-world data. However, this course is very hands-on; you'll develop your own framework for evaluating and combining many different recommendation algorithms together, and you'll even build your own neural networks using Tensorflow to generate recommendations from real-world movie ratings from real people. We'll cover: - Building a recommendation engine - Evaluating recommender systems - Content-based filtering using item attributes - Neighborhood-based collaborative filtering with user-based, item-based, and KNN CF - Model-based methods including matrix factorization and SVD - Applying deep learning, AI, and artificial neural networks to recommendations - Using the latest frameworks from Tensorflow (TFRS) and Amazon Personalize. - Session-based recommendations with recursive neural networks - Building modern recommenders with neural collaborative filtering - Scaling to massive data sets with Apache Spark machine learning, Amazon DSSTNE deep learning, and AWS SageMaker with factorization machines - Real-world challenges and solutions with recommender systems - Case studies from YouTube and Netflix - Building hybrid, ensemble recommenders - "Bleeding edge alerts" covering the latest research in the field of recommender systems This comprehensive course takes you all the way from the early days of collaborative filtering, to bleeding-edge applications of deep neural networks and modern machine learning techniques for recommending the best items to every individual user. The coding exercises in this course use the Python programming language. We include an intro to Python if you're new to it, but you'll need some prior programming experience in order to use this course successfully. Learning how to code is not the focus of this course; it's the algorithms we're primarily trying to teach, along with practical examples. We also include a short introduction to deep learning if you are new to the field of artificial intelligence, but you'll need to be able to understand new computer algorithms. High-quality, hand-edited English closed captions are included to help you follow along. I hope to see you in the course soon!

In this 2-hour long hands-on project, we will train a deep learning model to predict the type of scenery in images. In addition, we are going to use a technique known as Grad-Cam to help explain how AI models think. This project could be practically used for detecting the type of scenery from the satellite images.

In this engaging, instructor-led project, students will dive deep into JavaScript by developing a complex currency converter application using ChatGPT’s accelerated coding capabilities. The overall goal of the project is to create a user-friendly international financial transaction tool that addresses real-world currency conversion needs, while accelerating the creation of a currency converter application, allowing students to gain practical skills beyond traditional coding paradigms. With ChatGPT, students will be able to effectively design code, enhancing their ability to effectively solve real-world problems. The intended outcome goes beyond JavaScript proficiency; students will gain the problem-solving skills needed to navigate the complexities of modern web development. This instructor-led project provides a comprehensive understanding of how to use ChatGPT to optimize data management, improve performance, and achieve success in web application development. With a strong focus on practical application, students will not only build an effective currency converter application, but also improve the user experience, giving them the skills they need to succeed in their professional endeavors. Prerequisites: Students should be able to use JavaScript and know web development concepts such as HTML/CSS for front-end design and API integration in JavaScript. They should be able to write tooltips for AI tools such as ChatGPT.

My son is going to grow up in a completely different world that is filled with generative AI (e.g., ChatGPT, Claude, LLama, etc.). I think this is a world of possibility, creativity, and deep thought that will enrich the way we think and solve problems. I want to make sure that my son is set up for success in this new world and understands how to use generative AI in a way that helps him learn, create, and solve problems. Even though generative AI seems obvious to use, it isn't. Really learning to innovate and succeed with generative AI requires a change in mindset about the way we use it and how we solve problems. We have to teach people to think more, not less about what they are doing. I spent the last year working with my son to empower him with the skills to use generative AI to augment and amplify his critical thinking and creativity. I distilled this teaching into a series of courses that you can use to help teach your kids, either at home or in the classroom, these same skills. This is the first of these courses. Some of the things that we have done that you will learn to do with your kids: - Take pictures of anything and have generative AI turn the photos into world records that you can fact check - Interactively brainstorm how to build anything out of any material using generative AI as your partner - Invent new games from photos of everyday objects I teach a course on Prompt Engineering, which is the study of how you converse and solve problems with generative AI that 100,000s of people have enrolled in. I have gotten to hear about how companies all over the world are changing the future of work with generative AI. These courses are specifically designed to help you teach kids to succeed in this new world. This course is meant for parents and teachers to do with kids. You watch the videos, preview the exercises, and then lead kids through the fun activities. You decide what to show and how to best communicate with your kids. Along the way, n

Dive into the world of AI-driven marketing with the 'Harnessing HubSpot AI for Intelligent Marketing Success' Guided Project. Tailored for marketers, business owners, and digital marketing enthusiasts, this 1-hour course empowers you to master HubSpot's free AI tools for creating compelling content. Discover how to craft engaging blogs, effective emails, and high-converting landing pages, all integrated into a robust marketing funnel. Experience hands-on learning as you build a marketing funnel from scratch, leveraging AI for content creation and customer engagement. Perfect for those looking to sharpen their marketing strategies, this course gives you real-world skills applicable in today's digital landscape. Pre-requisites for optimal learning include a basic grasp of digital marketing concepts, familiarity with content creation, and a ready-to-use free HubSpot account. Whether you're aspiring to enhance your startup's marketing efforts or elevate your professional skill set, this project offers practical knowledge directly transferable to your marketing campaigns. Join us to unlock the potential of AI in marketing and stay ahead in the ever-evolving digital world.