Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python (Orland Paul)(Paperback)

Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python (Orland Paul)(Paperback)

In Math for Programmers you'll explore important mathematical concepts through hands-on coding. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these

Machine Learning with Python for Everyone (Fenner Mark)(Paperback)

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can

Python for Programmers (Deitel Paul)(Paperback)

The professional programmer's Deitel(R) guide to Python(R) with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today's most compelling, leading-edge computing

AI and Machine Learning for On-Device Development: A Programmer's Guide (Moroney Laurence)(Paperback)

Introduction to Machine Learning with Python: A Guide for Data Scientists (Mller Andreas C.)(Paperback)

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning

Math Adventures with Python: An Illustrated Guide to Exploring Math with Code (Farrell Peter)(Paperback)

Learn math by getting creative with code Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus In Hacking Math, teacher and programmer Peter Farrell shows you how to explore core math concepts deeper than ever

Statistical Learning with Math and R: 100 Exercises for Building Logic (Suzuki Joe)(Paperback)

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs. As the preliminary

Statistical Learning with Math and Python: 100 Exercises for Building Logic (Suzuki Joe)(Paperback)

Chapter 1: Linear Algebra.- Chapter 2: Linear Regression.- Chapter 3: Classification.- Chapter 4: Resampling.- Chapter 5: Information Criteria.- Chapter 6: Regularization.- Chapter 7: Nonlinear Regression.- Chapter 8: Decision Trees.- Chapter 9: Support Vector Machine.- Chapter 10: Unsupervised

Computer Graphics from Scratch: A Programmer's Introduction to 3D Rendering (Gambetta Gabriel)(Paperback)

Computer Graphics from Scratch demystifies the algorithms used in modern graphics software and guides beginners through building photorealistic 3D renders. Computer graphics are at work everywhere today, adding eye-popping details to video games, hyper-realistic CGI to major blockbusters, and

Thoughtful Machine Learning with Python: A Test-Driven Approach (Kirk Matthew)(Paperback)

Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book

Visual Studio Code for Python Programmers (Speight April)(Paperback)

Become proficient and efficient with Visual Studio Code and learn how to integrate all your external tools Visual Studio Code for Python Programmers helps Python developers become not just familiar, but productive in Visual Studio Code. To start, you'll find the steps for installing Visual Studio

Cython: A Guide for Python Programmers (Smith Kurt W.)(Paperback)

Build software that combines Python's expressivity with the performance and control of C (and C++). It's possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this

3D Math Primer for Graphics and Game Development (Dunn Fletcher)(Pevná vazba)

This engaging book presents the essential mathematics needed to describe, simulate, and render a 3D world. Reflecting both academic and in-the-trenches practical experience, the authors teach you how to describe objects and their positions, orientations, and trajectories in 3D using mathematics

Machine Learning Pocket Reference: Working with Structured Data in Python (Harrison Matt)(Paperback)

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine

AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (Moroney Laurence)(Paperback)

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll

Python for Kids for Dummies (Scott Brendan)(Paperback)

The kid-friendly way to learning coding with Python Calling all wanna-be coders Experts point to Python as one of the best languages to start with when you're learning coding, and Python For Kids For Dummies makes it easier than ever. Packed with approachable, bite-sized projects that won't make

Floral Dimensions - 20 Stunning 3D Flowers to Machine Applique (Ineson Pauline)(Paperback / softback)

Learn how to create amazing three-dimensional flowers with machine quilting, patchwork and applique

Learn Pyspark: Build Python-Based Machine Learning and Deep Learning Models (Singh Pramod)(Paperback)

Learn PySparkChapter 1: Introduction to PySparkChapter 2: Data ProcessingChapter 3: Spark Structured StreamingChapter 4: AirflowChapter 5: Machine Learning Library (MLlib)Chapter 6: Supervised Machine LearningChapter 7: Unsupervised Machine LearningChapter 8: Deep Learning Using PySpark

Python Scripting for Arcgis Pro (Zandbergen Paul A.)(Paperback)

The definitive, easy-to-follow guide to writing Python code with spatial data in ArcGIS Pro, whether you're new to programming or not. Python Scripting for ArcGIS Pro starts with the fundamentals of Python programming and then dives into how to write useful Python scripts that work with spatial

Real-World Python: A Hacker's Guide to Solving Problems with Code (Vaughan Lee)(Paperback)

A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code. You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how. Through a series of

Advanced Python Scripting for Arcgis Pro (Zandbergen Paul A.)(Paperback)

Ready for something more complex? An easy-to-follow guide to writing specialized Python scripts and developing tools for spatial data in ArcGIS Pro. Advanced Python Scripting for ArcGIS Pro builds on Python Scripting for ArcGIS Pro (Esri Press, 2020). Learn how to create a geoprocessing tool out of

Practical Machine Learning in R (Nwanganga Fred)(Paperback)

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning--a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit

Python for Data Science for Dummies (Mueller John Paul)(Paperback)

Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists (Zheng Alice)(Paperback)