I have three texts in machine learning (Duda et. al, Bishop, and this one), and I can unequivocally say that, …
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a …
Build machine learning algorithms using graph data and efficiently exploit topological information within your modelsKey FeaturesImplement machine learning techniques and …
Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and …
Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business …
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Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new …
Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in PythonKey FeaturesDiscover neural network …
This practical guide provides more than 200 self-contained recipes to help you solve Machine Learning challenges you may encounter in …
Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of …
Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the …
This book offers a clear and comprehensive introduction to the field of evolutionary computation: the use of evolutionary systems as …
A practitioner's tools have a direct impact on the success of his or her work. This book will provide the …
This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core …
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we …
The book series "Smart Computing Applications" provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical …
There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This …
In Deep Learning with JAX you will learn how to • Use JAX for numerical calculations • Build differentiable models …
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build …
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document …
The AI winter has long thawed, but many organizations are still failing to harness the power of machine learning (ML). …
Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show …
Combine the best of human data analysis with the power of AI and ChatGPT. Starting Data Analytics with Generative AI …
Go, the high-performance language from Google, is rapidly gaining traction in the machine learning world. Its speed, concurrency, and built-in …
Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey FeaturesLearn …
Is this book for you? You will enjoy the book if you are: - a software engineer or a scientist …
This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools …
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal …
