Category: Databases & Big Data

Generative AI with Amazon Bedrock 0

Generative AI with Amazon Bedrock

eBook Details: Paperback: 384 pages Publisher: WOW! eBook (July 31, 2024) Language: English ISBN-10: 1803247282 ISBN-13: 978-1803247281 eBook Description: Generative AI with Amazon Bedrock: Build, scale, and secure generative AI applications using Amazon Bedrock. Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards. The concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative...

Essential Guide to LLMOps 0

Essential Guide to LLMOps

eBook Details: Paperback: 190 pages Publisher: WOW! eBook (July 31, 2024) Language: English ISBN-10: 1835887503 ISBN-13: 978-1835887509 eBook Description: Essential Guide to LLMOps: Implementing effective LLMOps strategies and tools from data to deployment. Unlock the secrets to mastering LLMOps with innovative approaches to streamline AI workflows, improve model efficiency, and ensure robust scalability, revolutionizing your language model operations from start to finish. The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications....

Python Data Cleaning Cookbook, 2nd Edition 0

Python Data Cleaning Cookbook, Second Edition

eBook Details: Paperback: 486 pages Publisher: WOW! eBook; 2nd edition (May 31, 2024) Language: English ISBN-10: 1803239875 ISBN-13: 978-1803239873 eBook Description: Python Data Cleaning Cookbook, Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI. Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips. Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook, Second Edition will show you tools and techniques for cleaning and handling data with Python for better outcomes. Fully updated to the latest version of...

Azure Data Engineer Associate Certification Guide, 2nd Edition 0

Azure Data Engineer Associate Certification Guide, Second Edition

eBook Details: Paperback: 548 pages Publisher: WOW! eBook; 2nd edition (May 23, 2024) Language: English ISBN-10: 1805124684 ISBN-13: 978-1805124689 eBook Description: Azure Data Engineer Associate Certification Guide, Second Edition: Ace the DP-203 exam with advanced data engineering skills. Achieve Azure Data Engineer Associate certification success with this DP-203 exam guide. One of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This...

Databricks Certified Associate Developer for Apache Spark Using Python 0

Databricks Certified Associate Developer for Apache Spark Using Python

eBook Details: Paperback: 274 pages Publisher: WOW! eBook (June 14, 2024) Language: English ISBN-10: 1804619787 ISBN-13: 978-1804619780 eBook Description: Databricks Certified Associate Developer for Apache Spark Using Python: The ultimate guide to getting certified in Apache Spark using practical examples with Python. Learn the concepts and exercises needed to get certified as a Databricks Associate Developer for Apache Spark 3.0 and validate your skills as a Spark expert with an industry-recognized credential. With extensive data being collected every second, computing power cannot keep up with this pace of rapid growth. To make use of all the data, Spark has become a de...