“…He primarily works on programming tools and teaches programming courses for software developers, scientists, and engineers. He is the author of the Python Essential Reference (Addison-Wesley) and Python Cookbook, 3rd Ed. …”

“…Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. …”

“…Whether you’re a team executive, coach, fan, fantasy player, or data scientist, this guide will be a powerful source of competitive advantage... in any sport, by any measure. …”

“…About the Instructor Jon Krohn is Chief Data Scientist at the machine learning company untapt. He presents a popular series of deep learning tutorials published by Addison-Wesley and is the author of the bestselling book Deep Learning Illustrated . …”

“…But the downside is that there aren’t enough data scientists or machine learning engineers who understand these complex topics. …”

“…Application Architecture sessions, including Patrick Kua (Chief Scientist, N26) on scaling out architectural decision-making during rapid growth; Vladik Khononov (Chief Architect, Naxex) on DDD’s most common mistakes; and Paddy Fagan (Chief Architect, IBM Watson Care Manager) on implementing continuous architectural refactoring in a SaaS offering. …”

“…What you’ll learn—and how you can apply it Explore the current landscape relating to natural language understanding in the enterprise, including bots, natural language processing, and text generation Understand the challenges of and techniques for scaling up NLP in the enterprise Learn about recent deep learning breakthroughs for conversational AI, and how they can be utilized in practice Understand the research underpinning AI products and services powered by language understanding Learn about current approaches in reading comprehension, and how they can be used as a benchmark for evaluating NLP systems Gain a broad understanding of techniques in advanced natural language generation, options for related technologies, and how to choose the best options for your business goals Discover examples of the practical applications of artificial intelligence in the context of machine reading and writing, including questioning, answering, and decision making Explore key research areas and learn how they will power new products and services in language understanding Understand the current state of the art in NLP Identify traditional versus new deep learning-based approaches to NLP, and understand when to utilize each approach This video is for you because... You are a data scientist who needs to process natural language data, and you are interested in moving from traditional to deep learning-based techniqu..…”

“…Audience This course is designed for absolute beginners who want to create intelligent solutions, study with actual data, and enjoy learning theory and then putting it into practice. Data scientists, machine learning experts, and drop shippers will all benefit from this training. …”

“…Our goal is for this publication by Istanbul University, which has nearly 80 years of marine research experience, to serve as a reference source for marine scientists and decision-makers…”

“…What you will learn Explore the uses and applications of different NLP techniques Understand practical data acquisition and system evaluation workflows Build cutting-edge and practical NLP applications to solve problems Master NLP development from selecting an application to deployment Optimize NLP application maintenance after deployment Build a strong foundation in neural networks and deep learning for NLU Who this book is for This book is for python developers, computational linguists, linguists, data scientists, NLP developers, conversational AI developers, and students looking to learn about natural language understanding (NLU) and applying natural language processing (NLP) technology to real problems. …”

“…First, the state of the art in research is reflected and valuable impulses for new and respectively for further research fields are provided by taking into consideration the points of view of scientists and practitioners in the business environment. …”

“…The book is dedicated to scientists in the field of strategic management, valuebased management, and leadership; shareholders; students of EMBA and MBA programmes; practitioners in strategic management; and current shareholders of modern technology companies (in particular from the IT sector) and future investors, for all of whom it may offer a valuable outlook on the management principles and practices in the sectors, particularly with respect to the long- term creation of company value. …”

“…Some of these EO applications have already been developed by African scientists within the 10 year lifetime of the TIGER initiative: Looking after Water in Africa (http://www.tiger.esa.int), whose contributions are intended to be the starting point of this Special Issue and is only one example of the wide range of activities in the field. …”

“…What you will learn Establish theoretical foundations of deep neural networks Understand convolutional networks and apply them in computer vision applications Become well versed with natural language processing and recurrent networks Explore the attention mechanism and transformers Apply transformers and large language models for natural language and computer vision Implement coding examples with PyTorch, Keras, and Hugging Face Transformers Use MLOps to develop and deploy neural network models Who this book is for This book is for software developers/engineers, students, data scientists, data analysts, machine learning engineers, statisticians, and anyone interested in deep learning. …”

“…This book is intended for computer engineers and computer scientists developing applications for multimedia and virtual reality and professionals working in object design and visualization, transformation, modelling and animation of the real world.Features:Focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologiesOffers opportunity for state-of-the-art approaches, methodologies and systems, and innovative use of multimedia-based emerging technology services in different application areasDiscusses human-machine interface design, graphics modelling, rendering/animation, image/graphics techniques/systems and visualizationCovers cultural heritage, philosophical/ethical/societal/international issues, standards-related virtual technology and multimedia usesExplores multimedia content adaptation for interoperable delivery and recent advancements in multimedia systems in context to various application areas such as healthcare services and agriculture-related fieldsRajeev Tiwari is a Senior Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India.Neelam Duhan is an Associate Professor in the Department of Computer Engineering at J. …”

“…Additionally, it is suitable for data scientists and analysts who need to apply algorithms to data management and analysis tasks, educators looking for comprehensive teaching material on algorithms, and hobbyists interested in expanding their technical skill set…”

“…What you will learn Read from different data sources and write to various files and databases Apply aggregations, window functions, and string manipulations Perform common data tasks such as handling missing values and performing list and array operations Discover how to reshape and tidy your data by pivoting, joining, and concatenating Analyze your time series data in Python Polars Create better workflows with testing and debugging Who this book is for This book is for data analysts, data scientists, and data engineers who want to learn how to use Polars in their workflows. …”

“…This book will also help someone migrate from a DBA role to a graph data engineer or data scientist If you are working with graph databases and need to learn Cypher, or are a basic Cypher developer who wants to get better at data modeling and tuning queries to build performant Cypher queries, then this is the book for you…”

“…What you will learn Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM Use AI orchestrators like LangChain, with Streamlit for the frontend Get familiar with LLM components such as memory, prompts, and tools Learn how to use non-parametric knowledge and vector databases Understand the implications of LFMs for AI research and industry applications Customize your LLMs with fine tuning Learn about the ethical implications of LLM-powered applications Who this book is for Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. …”

“…What you will learn Set up a workspace for a data team planning to perform data science Monitor data quality and detect drift Use autogenerated code for ML modeling and data exploration Operationalize ML with feature engineering client, AutoML, VectorSearch, Delta Live Tables, AutoLoader, and Workflows Integrate open-source and third-party applications, such as OpenAI's ChatGPT, into your AI projects Communicate insights through Databricks SQL dashboards and Delta Sharing Explore data and models through the Databricks marketplace Who this book is for This book is for machine learning engineers, data scientists, and technical managers seeking hands-on expertise in implementing and leveraging the Databricks Data Intelligence Platform and its Lakehouse architecture to create data products…”