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Tag: OpenAI
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
Price: $31.19
(as of Dec 24,2024 17:18:26 UTC – Details)
ASIN : B091K32T2B
Publisher : Apress; 1st ed. edition (April 1, 2021)
Publication date : April 1, 2021
Language : English
File size : 24741 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 524 pages
Deep Reinforcement Learning is a cutting-edge technique in the field of artificial intelligence that has shown remarkable success in solving complex problems in various domains such as robotics, gaming, and finance. In this post, we will explore how to implement Deep Reinforcement Learning with Python using popular libraries such as PyTorch, TensorFlow, and OpenAI Gym.PyTorch and TensorFlow are two of the most widely used deep learning frameworks in Python, offering powerful tools for building and training neural networks. OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms, providing a wide range of environments for testing and evaluating the performance of your models.
In this post, we will walk through the process of setting up a Deep Reinforcement Learning environment using PyTorch, TensorFlow, and OpenAI Gym. We will cover topics such as defining the environment, creating a neural network model, implementing the reinforcement learning algorithm, and training the model to solve a specific task.
By the end of this post, you will have a solid understanding of how to leverage the capabilities of PyTorch, TensorFlow, and OpenAI Gym to build and train Deep Reinforcement Learning models in Python. Stay tuned for more in-depth tutorials and examples on how to apply these techniques to real-world problems.
#Deep #Reinforcement #Learning #Python #PyTorch #TensorFlow #OpenAI #Gym
Power BI Machine Learning and OpenAI: Explore data through business intelligence, predictive analytics, and text generation
Price:$49.99– $47.42
(as of Dec 24,2024 15:19:18 UTC – Details)
From the Publisher
What makes this book different from other Power BI machine learning books?
Unlike similar resources that feature training data, the data used for this book is real data from the Federal Aviation Administration (FAA), providing an example of real-world data.
This book also features a unique step-by-step GitHub repo that follows the examples in the chapters, which enables you to recreate the content from those readings for hands-on learning. At the same time, your journey is structured so that you can progress from raw data to ML and OpenAI, learning via a real-world end-to-end data experience.
How has your experience helped you write this book?
I have worked on many different real-world data projects with hundreds of customers, in many different industries. Based on my experience, two common threads among data professionals are the need for time and easily accessible training materials.
Data professionals are frequently pressured to deliver new content on aggressive timelines, yet the rapidly changing technologies in the data space require frequent continuous training. One of my goals for this book was to create easily consumable workshop-style content that will help readers skill up quickly, on-demand, and in a format that is enjoyable to read.
How can Power BI Machine Learning and OpenAI help you to leverage Power BI and OpenAI together?
Power BI professionals are usually accustomed to working with structured data that exists in rows and columns. This book provides examples on how you can expand your existing use cases to include generative AI for added value.
I’ve chosen the workshop format with the GitHub repo to help readers implement these examples for hands-on experience, and with both OpenAI and Microsoft Azure OpenAI. These examples will also contain architectural patterns to help you leverage OpenAI for summarization and text generation for numerous instances in historical databases.
How does this book cater to both beginners and more experienced practitioners in the field of data science and machine learning?
The Power BI ML tools in this book are no-code SaaS tools that are designed for beginners. The book is a great way for BI professionals to learn about ML and related use cases, while experienced data science professionals will learn more about Power BI and some of the tools that can be used for reporting and prepping data for data science projects.
The end-to-end workshop-style approach with an affiliated Git repo will give you hands-on experience with ML and help you build a project that you can show in interviews and on resumes.
Publisher : Packt Publishing (May 31, 2023)
Language : English
Paperback : 308 pages
ISBN-10 : 183763615X
ISBN-13 : 978-1837636150
Item Weight : 1.19 pounds
Dimensions : 9.25 x 7.52 x 0.65 inches
In today’s data-driven world, businesses are constantly looking for ways to gain insights and make informed decisions. One powerful tool that is revolutionizing the way companies analyze data is Power BI Machine Learning, which combines business intelligence with advanced analytics to provide actionable insights.With Power BI Machine Learning, businesses can harness the power of predictive analytics to forecast trends, identify patterns, and make data-driven decisions. By using algorithms and statistical models, companies can uncover hidden patterns in their data and make predictions about future outcomes.
But the power of Power BI Machine Learning doesn’t stop there. With the integration of OpenAI’s text generation capabilities, businesses can now analyze and generate text data to uncover insights and trends that were previously inaccessible. By using natural language processing and machine learning, companies can extract valuable information from text data sources such as social media, customer reviews, and surveys.
By combining the power of Power BI Machine Learning and OpenAI, businesses can explore their data in new and innovative ways, helping them make better decisions and stay ahead of the competition. Whether it’s analyzing customer sentiment, forecasting sales trends, or generating insights from text data, the possibilities are endless with Power BI Machine Learning and OpenAI.
#Power #Machine #Learning #OpenAI #Explore #data #business #intelligence #predictive #analytics #text #generation
Practical Guide to Azure Cognitive Services: Leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutions
Price: $43.13
(as of Dec 24,2024 09:44:41 UTC – Details)
Publisher : Packt Publishing (May 12, 2023)
Language : English
Paperback : 454 pages
ISBN-10 : 1801812918
ISBN-13 : 978-1801812917
Item Weight : 1.74 pounds
Dimensions : 9.25 x 7.52 x 0.94 inches
In this post, we will explore how Azure Cognitive Services can help businesses leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutions.Azure Cognitive Services is a set of APIs and services that enable developers to easily add intelligent capabilities to their applications. These services cover a wide range of AI capabilities, including vision, speech, language, and decision-making. By using Azure Cognitive Services, businesses can quickly build AI-powered applications without needing deep expertise in machine learning or AI.
One of the key benefits of using Azure Cognitive Services is that it allows businesses to tap into the power of Azure OpenAI, a cutting-edge AI platform that provides state-of-the-art AI models and tools. By leveraging Azure OpenAI, businesses can access advanced AI capabilities that would otherwise be difficult or expensive to develop in-house.
Here are some practical ways businesses can leverage Azure Cognitive Services to optimize operations, reduce costs, and deliver cutting-edge AI solutions:
1. Automate repetitive tasks: Azure Cognitive Services can help businesses automate repetitive tasks such as data entry, customer support, and document processing. By using AI-powered tools like Azure Text Analytics and Azure Form Recognizer, businesses can streamline their operations and reduce manual workloads.
2. Improve customer experiences: Azure Cognitive Services can also be used to enhance customer experiences by providing personalized recommendations, sentiment analysis, and chatbot capabilities. By using services like Azure Personalizer and Azure Bot Service, businesses can deliver AI-powered experiences that engage customers and drive loyalty.
3. Enhance decision-making: Azure Cognitive Services can help businesses make better decisions by providing insights and recommendations based on data analysis. By using services like Azure Machine Learning and Azure Cognitive Search, businesses can uncover hidden patterns in their data and optimize their operations.
4. Reduce costs: By automating tasks, improving customer experiences, and enhancing decision-making, businesses can reduce costs and increase efficiency. Azure Cognitive Services can help businesses lower their operational expenses, improve productivity, and drive growth.
In conclusion, Azure Cognitive Services offers businesses a powerful platform to leverage the capabilities of Azure OpenAI and deliver cutting-edge AI solutions. By using these services, businesses can optimize operations, reduce costs, and drive innovation in today’s competitive market.
#Practical #Guide #Azure #Cognitive #Services #Leverage #power #Azure #OpenAI #optimize #operations #reduce #costs #deliver #cuttingedge #solutions
OpenAI API Cookbook: Build intelligent applications including chatbots, virtual assistants, and content generators
Price: $9.99
(as of Dec 24,2024 05:44:04 UTC – Details)
From the brand
See more at our store:
Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.
Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.
We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.
ASIN : B0CT8W7B79
Publisher : Packt Publishing; 1st edition (March 12, 2024)
Publication date : March 12, 2024
Language : English
File size : 15999 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 289 pages
Are you looking to build intelligent applications that can revolutionize the way we interact with technology? Look no further than the OpenAI API Cookbook! With the power of OpenAI’s cutting-edge artificial intelligence technology at your fingertips, you can create chatbots, virtual assistants, and content generators that are smarter and more intuitive than ever before.In this cookbook, you’ll find a wide range of recipes and tutorials that will guide you through the process of integrating the OpenAI API into your applications. Whether you’re a seasoned developer looking to take your projects to the next level or a novice just starting out, this cookbook has something for everyone.
From simple chatbots that can answer customer inquiries to virtual assistants that can help users navigate complex tasks, the possibilities are endless with the OpenAI API. And with step-by-step instructions and sample code provided in the cookbook, you’ll be able to start building intelligent applications in no time.
So why wait? Dive into the world of artificial intelligence with the OpenAI API Cookbook and unlock the potential of intelligent applications today!
#OpenAI #API #Cookbook #Build #intelligent #applications #including #chatbots #virtual #assistants #content #generators
Responsible AI in the Enterprise: Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI
Price: $43.13
(as of Dec 24,2024 02:44:22 UTC – Details)
Publisher : Packt Publishing (July 31, 2023)
Language : English
Paperback : 318 pages
ISBN-10 : 1803230525
ISBN-13 : 978-1803230528
Item Weight : 1.23 pounds
Dimensions : 9.25 x 7.52 x 0.67 inches
In today’s rapidly evolving digital landscape, the use of artificial intelligence (AI) in enterprise settings is becoming increasingly prevalent. However, with great power comes great responsibility, and it is crucial for organizations to prioritize responsible AI practices in order to mitigate potential risks and ensure the development of transparent, auditable, and safe AI models.One key aspect of responsible AI in the enterprise is the need for explainable AI models. This means that AI systems should be designed in a way that allows their decisions and actions to be easily understood and interpreted by humans. By prioritizing explainability, organizations can ensure that their AI models are transparent and accountable, which is essential for building trust with stakeholders and regulatory bodies.
Another important consideration for responsible AI in the enterprise is the implementation of robust auditability mechanisms. This involves keeping detailed records of the data used to train AI models, as well as the decisions made by these models in real-world applications. By maintaining thorough audit trails, organizations can identify and address potential biases, errors, or unintended consequences in their AI systems, ultimately improving their overall performance and reliability.
When it comes to building safe AI models, organizations can benefit from partnering with hyperscalers like Microsoft Azure and OpenAI. These industry leaders offer a range of tools and services that can help enterprises develop and deploy AI solutions in a secure and compliant manner. By leveraging the expertise and resources of hyperscalers, organizations can enhance the robustness and resilience of their AI models, while also staying ahead of emerging threats and regulatory requirements.
In conclusion, responsible AI in the enterprise is essential for building trust, ensuring compliance, and maximizing the value of AI technologies. By prioritizing explainability, auditability, and safety in their AI initiatives, organizations can mitigate risks, drive innovation, and create lasting positive impact for both their businesses and society as a whole.
#Responsible #Enterprise #Practical #risk #management #explainable #auditable #safe #models #hyperscalers #Azure #OpenAIModern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities o
Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities o
Price : 25.35
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f cutting-edge AI technology to enhance your businessIn today’s rapidly evolving digital landscape, businesses are constantly looking for ways to stay ahead of the curve and capitalize on the latest advancements in technology. One such advancement that has been gaining traction in recent years is generative AI, a type of artificial intelligence that has the ability to create new content, such as text, images, and even music, based on patterns and data it has been trained on.
Two of the most popular generative AI models on the market today are ChatGPT and OpenAI. ChatGPT, developed by OpenAI, is a state-of-the-art language model that is capable of generating human-like text responses to user inputs. OpenAI, on the other hand, is a research organization that has developed some of the most advanced AI models in the world.
By leveraging the capabilities of these cutting-edge generative AI models, businesses can unlock a wealth of opportunities to enhance their operations and improve customer experiences. For example, ChatGPT can be used to create personalized chatbots that can engage with customers in real-time, answer their questions, and even provide recommendations based on their preferences. OpenAI models, on the other hand, can be used to generate unique content for marketing campaigns, social media posts, and other communication channels.
Overall, modern generative AI models like ChatGPT and OpenAI have the potential to revolutionize the way businesses interact with customers, create content, and streamline operations. By integrating these powerful tools into their workflows, businesses can stay ahead of the competition and deliver innovative solutions that drive growth and success.
#Modern #Generative #ChatGPT #OpenAI #Models #Leverage #capabilities
Generative AI for Web Development: Building Web Applications Powered by OpenAI A
Generative AI for Web Development: Building Web Applications Powered by OpenAI A
Price : 56.00
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Generative AI for Web Development: Building Web Applications Powered by OpenAIIn recent years, artificial intelligence has revolutionized the way we approach web development. One of the most exciting advancements in this field is the use of generative AI to create web applications that are not only innovative, but also highly efficient and user-friendly.
OpenAI, a leading AI research lab, has been at the forefront of this movement, developing powerful models that can generate code, design layouts, and even write content for websites. By harnessing the capabilities of generative AI, developers can now build web applications faster and with less manual coding.
With generative AI, developers can automate repetitive tasks, streamline the development process, and create personalized user experiences. From generating responsive layouts to optimizing images and text, AI can handle a wide range of tasks that would otherwise require hours of manual labor.
By integrating OpenAI’s generative models into their workflow, web developers can unlock new possibilities for creativity and efficiency. Whether you’re building a simple landing page or a complex e-commerce platform, generative AI can help you bring your vision to life in a fraction of the time.
So if you’re looking to take your web development skills to the next level, consider incorporating generative AI into your toolkit. With the power of OpenAI at your fingertips, the possibilities for building innovative web applications are truly endless.
#Generative #Web #Development #Building #Web #Applications #Powered #OpenAI
Valentina Alto Modern Generative AI with ChatGPT and OpenAI Models (Paperback)
Valentina Alto Modern Generative AI with ChatGPT and OpenAI Models (Paperback)
Price : 70.02
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Valentina Alto Modern Generative AI with ChatGPT and OpenAI Models (Paperback)Exciting news for all AI enthusiasts and developers! Introducing Valentina Alto, a comprehensive guide to modern generative AI using ChatGPT and OpenAI models. This paperback book is a must-have for anyone looking to dive deep into the world of advanced AI technology.
Written by experts in the field, Valentina Alto provides a step-by-step tutorial on how to harness the power of ChatGPT and OpenAI models to create cutting-edge AI applications. From natural language processing to image generation, this book covers a wide range of topics to help you master the latest AI techniques.
Whether you are a seasoned AI professional or a beginner looking to expand your knowledge, Valentina Alto has something for everyone. Get your hands on this invaluable resource today and take your AI skills to the next level!
#Valentina #Alto #Modern #Generative #ChatGPT #OpenAI #Models #Paperback
Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition
Price: $22.39
(as of Dec 18,2024 00:09:12 UTC – Details)
From the brand
Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.
Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.
We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.
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Machine Learning
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ASIN : B08HSHV72N
Publisher : Packt Publishing; 2nd edition (September 30, 2020)
Publication date : September 30, 2020
Language : English
File size : 31652 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 762 pages
Page numbers source ISBN : 1839210680
Looking to dive deep into the world of reinforcement learning with Python? Look no further than the newly updated 2nd edition of “Deep Reinforcement Learning with Python.” This comprehensive guide will help you master classic RL techniques, deep RL algorithms, distributional RL, inverse RL, and much more using popular tools like OpenAI Gym and TensorFlow.Whether you’re a beginner looking to get started with RL or an experienced practitioner looking to expand your skills, this book has something for everyone. You’ll learn how to build and train RL agents to solve a variety of challenging tasks, from simple grid worlds to complex video games.
With hands-on examples and practical exercises, you’ll gain a deep understanding of the principles behind RL and how to apply them to real-world problems. By the end of the book, you’ll be able to design and implement your own RL algorithms and tackle a wide range of tasks with confidence.
Don’t miss out on this opportunity to level up your RL skills with Python. Get your copy of “Deep Reinforcement Learning with Python, 2nd Edition” today!
#Deep #Reinforcement #Learning #Python #Master #classic #deep #distributional #inverse #OpenAI #Gym #TensorFlow #2nd #Edition
Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabil – GOOD
Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabil – GOOD
Price : 25.63
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ities of cutting-edge AI technology to enhance your projects and workflows. Discover how ChatGPT and OpenAI models are revolutionizing the field of generative AI and opening up new possibilities for creativity and productivity. Explore the latest advancements in natural language processing and machine learning, and learn how you can leverage these powerful tools to create more engaging and personalized user experiences. Join the AI revolution and unlock the full potential of modern generative AI with ChatGPT and OpenAI models.
#Modern #Generative #ChatGPT #OpenAI #Models #Leverage #capabil #GOOD
