Packt's Book Sales - Printable Version +- Python Forum (https://python-forum.io) +-- Forum: General (https://python-forum.io/forum-1.html) +--- Forum: News and Discussions (https://python-forum.io/forum-31.html) +--- Thread: Packt's Book Sales (/thread-7077.html) Pages:
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RE: Packt's Book Sales - Packt - Feb-28-2019 Packt has recently published a video, Dynamic Neural Network Programming with PyTorch, demonstrates how you can train your networks faster with PyTorch. Deep learning influences key aspects of core sectors such as IT, finance, science, and many more. Problems arise when it comes to getting computational resources for your network. You need to have a powerful GPU and plenty of time to train a network for solving a real-world task. What you will learn?
The Author Anastasia Yanina is a Senior Data Scientist with around 5 years' experience. She is an expert in Deep Learning and Natural Language processing and constantly develops her skills as far as possible. She is passionate about human-to-machine interactions. She believes that bridging the gap may become possible with deep neural network architectures. RE: Packt's Book Sales - Packt - Mar-06-2019 Packt has recently published a book Hands-On Unsupervised Learning with Python, which helps to discover the skill-sets required to implement various approaches to Machine Learning with Python. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images. What You Will Learn?
Author Giuseppe Bonaccorso is an experienced manager in the fields of AI, data science, and machine learning. He has been involved in solution design, management, and delivery in different business contexts. He got his M.Sc.Eng in electronics in 2005 from the University of Catania, Italy, and continued his studies at the University of Rome Tor Vergata, Italy, and the University of Essex, UK. His main interests include machine/deep learning, reinforcement learning, big data, bio-inspired adaptive systems, neuroscience, and natural language processing. Packt has recently published a book Python Machine Learning By Example - Second Edition Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn. The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you’re interested in ML, this book will serve as your entry point to ML. What You Will Learn
RE: Packt's Book Sales - Packt - Mar-08-2019 Packt has recently published a book Data Wrangling with Python which will help you simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices. What You Will Learn: - Use and manipulate complex and simple data structures - Harness the full potential of DataFrames and numpy.array at run time - Perform web scraping with BeautifulSoup4 and html5lib - Execute advanced string search and manipulation with RegEX - Handle outliers and perform data imputation with Pandas - Use descriptive statistics and plotting techniques - Practice data wrangling and modeling using data generation techniques Authors: Dr. Tirthajyoti Sarkar Dr. Tirthajyoti Sarkar works as a senior principal engineer in the semiconductor technology domain, where he applies cutting-edge data science/machine learning techniques for design automation and predictive analytics. He writes regularly about Python programming and data science topics. He holds a Ph.D. from the University of Illinois and certifications in artificial intelligence and machine learning from Stanford and MIT. Shubhadeep Roychowdhury Shubhadeep Roychowdhury works as a senior software engineer at a Paris-based cybersecurity startup, where he is applying state-of-the-art computer vision and data engineering algorithms and tools to develop cutting-edge products. He often writes about algorithm implementation in Python and similar topics. He holds a master’s degree in computer science from West Bengal University Of Technology and certifications in machine learning from Stanford. RE: Packt's Book Sales - Packt - Mar-11-2019 Packt has recently published a book Data Visualization with Python which will help you understand, explore, and effectively present data using the powerful data visualization techniques of Python programming. What You Will Learn
Authors Mario Döbler Mario Döbler is a Ph.D. student with focus in deep learning at the University of Stuttgart. He previously interned at the Bosch Center for Artificial Intelligence in Silicon Valley in the field of deep learning, using state-of-the-art algorithms to develop cutting-edge products. In his master thesis, he dedicated himself to apply deep learning to medical data to drive medical applications. Tim Großmann Tim Größmann is a CS student with an interest in diverse topics, ranging from AI to IoT. He previously worked at the Bosch Center for Artificial Intelligence in Silicon Valley, in the field of big data engineering. He's highly involved in different open source projects and actively speaks at meetups and conferences about his projects and experiences. RE: Packt's Book Sales - Packt - Mar-12-2019 Packt has recently published a video,Hands-on Python for Finance , which will practically guide to use data-driven algorithms in Finance. With numerous practical examples through the course, you will develop a full-fledged framework for Monte Carlo, which is a class of computational algorithms and simulation-based derivatives and risk analytics. What You Will Learn - General programing skills in Python and working with common Python interfaces - Using Numpy, Pandas and matplotlib to manipulate, analyze and visualize data - Understand the Time value of money applications and project selection - Getting and with working data, time series forecasting methods and linear models - Understand Correlation and portfolio construction - Be comfortable with Monte Carlo Simulation, Value at Risk and Options Valuation Author Matthew Macarty Matthew Macarty has taught graduate and undergraduate business school students for over 15 years and currently teaches at Bentley University. He has taught courses in statistics, quantitative methods, information systems and database design. Packt has recently published a video,Machine Learning for Algorithmic Trading Bots with Python which will help Financial practitioners to study machine learning and algorithmic trading. This course covers the advances in the techniques developed for algorithmic trading and financial analysis based on the recent breakthroughs in machine learning. What You Will Learn - You will learn about financial terminology and methodology and how to apply them - Get hands-on financial data structures and financial machine learning - Understand complex financial terminology and methodology in simple ways - Ensemble models and cross-validation for financial applications - Backtesting for models and strategies evaluation and validation - Apply your skills to real world cryptocurrency trading such as BitCoin and Ethereum - Putting machine learning into real world problems and derive solutions Author Mustafa Qamar-ud-Din Mustafa Qamar-ud-Din is a machine learning engineer with over 10 years of experience in the software development industry. He is a specialist in image processing, machine learning and deep learning. He worked with many startups and understands the dynamics of agile methodologies and the challenges they face on a day to day basis. He is also quite aware of the professional skills which the recruiters are looking for when making hiring decisions. RE: Packt's Book Sales - martyl - Mar-12-2019 Hey, I am looking for a book which teaches how to create interactive maps, especially time dynamic maps. These are maps which have a slider, as you push the slider, the maps get updated to reflect the time you selected. Any recommendation? RE: Packt's Book Sales - Packt - Mar-13-2019 Packt has recently published a video,High-Performance Computing with Python 3.x which demonstrates how to build high-performance, distributed, and concurrent applications in Python. This hands-on course covers all the important aspects of high-performance computing using Python 3.x. Throughout the course, we'll go over the various techniques, modules, frameworks, and architectures needed for high-performance computing. This course is designed with minimal theory and maximal practical implementation followed by step-by-step instructions to get you up-and-running. What You Will Learn
Authors Mohammed Kashif Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he was working as a Python developer at Qualcomm. He completed his Master's degree in computer science from IIIT Delhi, with specialization in data engineering. His areas of interest include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the higher-education industry. RE: Packt's Book Sales - Packt - Mar-19-2019 Hands-On Blockchain for Python Developers Learn how to implement real-world decentralized applications using Python, Vyper, Populus, and Ethereum. What You Will Learn
Author Arjuna Sky Kok Arjuna Sky Kok has experience more than 10 years in expressing himself as a software engineer. He has developed web applications using Symfony, Laravel, Ruby on Rails, and Django. He also has built mobile applications on top of Android and iOS platforms. Currently, he is researching Ethereum technology. Other than that, he teaches Android and iOS programming to students. He graduated from Bina Nusantara University with majors in Computer Science and Applied Mathematics. He always strives to become a holistic person by enjoying leisure activities, such as dancing Salsa, learning French, and playing StarCraft 2. He lives quietly in the bustling city of Jakarta. Neural Network Projects with Python Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python. What You Will Learn
Author James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. RE: Packt's Book Sales - Packt - Apr-08-2019 Hands-On Python for Finance Learn and implement quantitative finance using popular Python libraries like NumPy, pandas, and Keras Key Takeaways
About the Author Krish Naik works as a lead data scientist, pioneering in machine learning, deep learning, and computer vision, and is an artificial intelligence practitioner, an educator, and a mentor, with over 7 years' experience in the industry. He also runs a YouTube channel where he explains various topics on machine learning, deep learning, and AI with many real-world problem scenarios. He has implemented various complex projects involving complex financial data with predictive modeling, machine learning, text mining, and sentiment analysis in the healthcare, retail, and e-commerce domains. He has delivered over 30 tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums. Mastering OpenCV 4 with Python Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Key Takeaways
About the Author Alberto Fernandez Villan is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various project related to monitoring systems for industrial plants applying both IoT and Big Data technologies. He has a PhD in Computer Vision (2017), a Deep Learning Certification (2018) and has several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. Since 2013 he is a registered user ("albertofernandez") on the Q&A OpenCV forum with a dynamic activity. Building Serverless Microservices in Python A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects. Key Takeaways
About the Author Richard Takashi Freeman has an M.Eng. in computer system engineering and a PhD in machine learning and natural language processing from the University of Manchester, United Kingdom. His current role is as a lead data engineer and architect, but he is also a data scientist and solutions architect. He has been delivering cloud-based, big data, machine learning, and data pipeline serverless and scalable solutions for over 14 years, and has spoken at numerous leading academic and industrial conferences, events, and summits. |