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In the second year of the Natural Language Processing specialization, you will: a) Create a simple autocorrection algorithm using minimum edit distance and dynamic programming; b) Apply the Viterbi algorithm to part-of-speech (POS) extraction, which is very important for computational linguistics; c) Write a more advanced autocorrection algorithm using an N-gram model of language; and d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. By the end of this specialization, you will have developed NLP applications that perform question answering and sentiment analysis, created tools for language translation and text summarization, and even built a chatbot! This specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an instructor in artificial intelligence at Stanford University who also helped create the Deep Learning specialization. Lukasz Kaiser is a staff scientist at Google Brain and co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

Data about how we browse and shop is everywhere. From credit card transactions and online shopping carts to customer loyalty programs and user ratings/reviews, there is a dizzying amount of data that can be used to describe our past shopping behavior, predict the future, and prescribe new ways to influence future purchasing decisions. In this course, four leading Wharton marketing professors provide an overview of the key areas of customer analytics—descriptive analytics, predictive analytics, prescriptive analytics—and their applications to real-world business practices, including Amazon, Google, Starbucks, and more. This course provides an overview of the field of analytics so you can make informed business decisions. It is an introduction to customer analytics theory and is not intended to prepare students to perform customer analytics. Course learning outcomes: Upon completion of the course, students will be able to: Describe the main customer data collection methods used by companies and understand how this data can help in making business decisions; Describe the main tools used to predict customer behavior and identify appropriate applications for each tool; Explain the main ideas behind customer analytics and how this field impacts business decisions; Explain the history of customer analytics and the latest best practices at leading companies;

This course will introduce you to the fundamentals of successful and ethical health data analysis. We will explore the diversity of clinical data collected throughout the health care process. You will learn to create analysis-ready data sets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we use health data to make patient care decisions. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Accreditation Center (ANCC) to provide continuing education for the health care team. Visit the FAQs below for important information regarding: 1) Issue and Expiry Dates; 2) Statements of Accreditation and Credit Standing; 3) Disclosures of Financial Relationships for Each Individual with Control Over the Content of the Activity.

Unlock the full potential of generative AI and become a master of prompt engineering. Dive deeper into how you can use In-context Learning to build better and more reliable prompts. See how Retrieval Augmented Generation (RAG) works and what can go wrong that you can counteract with fact-checkable prompt formats. Overcome your struggles in getting the right output from generative AI models with template-based output formats to achieve precision in your interactions with AI models. Tap into powerful AI capabilities for tasks ranging from social media comment analysis to survey results interpretation and beyond. This course will empower you with the skills needed to build exceptional prompts, using simple techniques, such as preference-driven refinement, and become and expert in leveraging generative AI for productivity and creativity. What You Will Learn: In-Context Learning: Understand how to provide context within prompts to guide AI models towards more accurate and relevant outputs. Learn techniques to embed contextual information that enhances the model's understanding and performance. Retrieval Augmented Generation (RAG): Explore how to integrate retrieval systems with generative models to provide more precise and informed responses. This module covers the mechanisms to combine the strengths of both retrieval and generation. Template Pattern and Examples: Master the art of crafting template-based prompts to achieve consistent and desired outputs. Learn how to tell generative AI to fit its output into your format and overcome struggles with getting exactly what you want. Tapping Into AI Capabilities for Everyday Use: Delve into practical applications such as analyzing social media comments, interpreting survey results, and other everyday tasks where generative AI can make a significant impact. Gain hands-on experience with real-world examples. Building Great Prompts: Discover simple methods for constructing effective prompts. Learn how preference-driven refinement can elevate your prompt engineering skills, ensuring that outputs meet your exact needs and preferences.

DeFi and the Future of Finance - Four Courses of Study. DeFi, or decentralized finance, is an emerging technology where users interact as peers with algorithms or smart contracts, rather than through traditional intermediaries such as banks, brokerages, or insurance companies. This technology has the potential to transform finance as we know it. It addresses key issues with traditional finance such as lack of inclusivity, inefficiency, opacity, centralized control, and lack of interoperability. - The first course, DeFi Infrastructure , covers the historical evolution of decentralized finance and the problems DeFi solves. - The second course, DeFi Primitives , covers mechanics, supply and ownership, and borrowing and swaps. - The third course, DeFi Deep Dive , explores leading protocols including MakerDAO, Compound, Aave, Uniswap, and dYdX. - The fourth course, " DeFi Risks and Opportunities ," examines key risks, including smart contract risk, governance risk, scaling risk, and regulatory issues. The final part of the course lays out a vision for the future of finance, including winners and losers.

By the end of this course, you'll be able to manipulate files and processes on your computer's operating system. You'll also have learned about regular expressions -- a very powerful tool for processing text files -- and you'll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you'll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That's a super useful skill for IT Specialists to know. We'll kick off by exploring how to execute Python locally, and organize and use code across different Python files. We'll then learn how to read and write different types of files, and use subprocesses and input streams. We'll also dive into Bash scripting and regular expressions -- both very powerful tools for anyone working with systems. We'll even touch on automatic testing, which allows us to automate how we check if our code is correct. To finish, we'll put all this together by using the tools that we've acquired to process data and generate automatic reports. We'll also explain how to set up your own developer environment in your machine. This is a key step in being able to write and deploy powerful automation tools.

This course focuses on women's health and human rights issues from infancy to old age, including information on positive interventions related to these issues. Students are encouraged to interact with each other through interactive discussions. It is important to us that this course is accessible to all learners. We encourage you to apply for financial aid from Coursera (see link to the left) if the cost of a Course Certificate is too expensive for you. Please note that you can view and participate in all of this course without purchasing a certificate. This course was co-created by Advice Professor Anne Firth Murray and Kevin Hsu. Anne Firth Murray is the Director of Course Content; Kevin Hsu is the Director of Course Design.

Service level indicators (SLIs) and service level objectives (SLOs) are fundamental tools for measuring and managing reliability. In this course, students learn approaches for designing appropriate SLIs and SLOs and managing reliability through the use of an error budget.

Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

Not long ago, a product manager’s job was to evaluate market data, create requirements, and manage the flow of those to sales/marketing. Maybe somewhere in there you’d talk to a customer and they’d tell you what features they wanted. But companies that managed products that way are dying out. Today, being a product person is a new game, and product managers are at the center of it. Today, especially if your product is primarily digital, you may be updating it multiple times a day. There are vast amounts of data available to inform decisions, and at the same time, a deep understanding of customer motivations and experiences is more important than ever. The job of a modern product manager is to set the direction and create a successful work environment for everyone involved in the product’s success. It’s not a simple or easy job, but it’s a meaningful job where you’ll be constantly learning. This course will help you on your learning path and prepare you to acquire the skills and perspective needed to: Create an effective focus for successful product management (Week 1) Focus your work using modern product management techniques (Week 2) Manage new products and explore new product ideas (Week 3) Manage and leverage existing products (Week 4) This course is ideal for current product managers or general managers interested in modern product management techniques. Please note that this course has new additions and subtitles for these videos will be available soon. This course was developed with the generous support of the Batten Institute at the UVA Darden School of Business. The mission of the Batten Institute is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.

In an era where technology is constantly reshaping the landscape of business and society, understanding and leveraging artificial intelligence (AI) has emerged as a critical skill. This course offers a unique opportunity to delve into the theoretical aspects of AI, equipping you with the foundational knowledge necessary to drive innovation and impact across various sectors. Whether you are a seasoned professional seeking to stay ahead of the curve or a student eager to explore the cutting edge of technological advancements, this course promises to unlock a future filled with potential. Imagine being at the forefront of a revolution that is redefining how businesses operate and societies function. This course is designed to provide you with a comprehensive understanding of AI, from its foundational principles to its advanced theoretical applications. By demystifying complex concepts and presenting them in an accessible manner, we ensure that you gain a robust grasp of AI without feeling overwhelmed. You will explore various dimensions of AI, including machine learning, natural language processing, and computer vision, and understand how these technologies are being harnessed to solve real-world problems. One of the key benefits of this course is its focus on theoretical understanding. We believe that a strong theoretical foundation is essential for mastering AI. Through a series of lectures, readings, and discussions, you will delve into the underlying principles and algorithms that drive AI technologies. This approach not only reinforces your understanding but also enables you to develop a deep appreciation for the theoretical underpinnings of AI. By the end of the course, you will have a solid foundation in AI theory that will support your future practical applications. In addition to theoretical knowledge, this course emphasizes the importance of strategic thinking and ethical considerations in AI integration. As AI continues to evolve, it raises significant ethical and societal questions. How can we ensure that AI technologies are used responsibly? What are the implications of AI on privacy, employment, and inequality? By engaging with these critical issues, you will develop a nuanced perspective that goes beyond technical proficiency. This holistic approach prepares you to not only understand AI solutions but also to navigate the complex ethical landscape that accompanies technological advancement. As you progress through the course, you will gain a deep appreciation for the transformative impact of AI on various sectors. From healthcare to finance, education to entertainment, AI is revolutionizing industries and creating new opportunities for innovation. You will explore case studies that highlight successful AI implementations and learn about the challenges and lessons learned along the way. This comprehensive understanding will enable you to identify opportunities for AI integration in your own field and develop strategies to drive impactful change. Upon completion of the course, you will be equipped with a powerful toolkit of theoretical knowledge that will set you apart in the competitive landscape. You will have the confidence to lead AI initiatives, the expertise to develop innovative solutions, and the strategic insight to drive organizational growth. Whether you aspire to be an AI specialist, a business leader, or an innovator, this course will provide the foundation you need to succeed. In a world where AI is becoming increasingly integral to business and society, staying informed and skilled in this domain is not just an advantage - it is a necessity. This course offers an unparalleled opportunity to immerse yourself in the world of AI, understand its theoretical potential, and harness its power for transformative impact. By enrolling, you are taking a proactive step towards shaping the future and positioning yourself as a leader in this exciting and rapidly evolving field. Join us on this journey to unlock the future with AI. Embrace the opportunity to learn, innovate, and make a difference. Your journey towards mastering AI and revolutionizing business and society begins here.

Are you ready to create stunning images, music, video, and text content with the latest advancements in generative AI technology? This comprehensive online course will introduce you to the world of generative AI for art, music, video, and text creation using cutting-edge tools such as Midjourney, ChatGPT, and more! No experience necessary! If you are already content creator, you know that the key to success is having a unique and engaging voice. With generative AI, you can take your creativity to new heights and generate original content that will set you apart from the rest. Whether you're a professional artist, musician, filmmaker, or writer, this course will teach you how to use generative AI to enhance your work and bring your vision to life. This online course will introduce you to the cutting-edge tools and techniques to create content for a variety of use cases. Learn to use Midjourney to create stunning images for wall art, t-shirts, gifts, presentations, screen savers, and more. Learn to use ChatGPT to create books, ad copy, movie scripts, presentations, even course outlines and course descriptions ;-) By the end of the course, you will have a thorough understanding of how to use generative AI to create truly original and engaging content. Whether you're looking to take your content creation to the next level or simply looking to explore a new and exciting aspect of the field, this course is the perfect opportunity to do so. So what are you waiting for? Join us today and discover the limitless possibilities of generative AI!