Machine Learning for Time Series Forecasting with Python (Lazzeri Francesca)(Paperback)

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

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

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

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

Practical Time Series Analysis: Prediction with Statistics and Machine Learning (Nielsen Aileen)(Paperback)

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis

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

Machine Learning with Tensorflow (Shukla Nishant)(Paperback)

Summary Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology

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

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

Programming with Micropython: Embedded Programming with Microcontrollers and Python (Tollervey Nicholas H.)(Paperback)

It's an exciting time to get involved with MicroPython, the re-implementation of Python 3 for microcontrollers and embedded systems. This practical guide delivers the knowledge you need to roll up your sleeves and create exceptional embedded projects with this lean and efficient programming

Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images (Lakshmanan Valliappa)(Paperback)

By using machine learning models to extract information from images, organizations today are making breakthroughs in healthcare, manufacturing, retail, and other industries. This practical book shows ML engineers and data scientists how to solve a variety of image problems including classification,

Python for Data Science: The Ultimate Beginners' Guide to Learning Python Data Science Step by Step (Williams Ethan)(Paperback)

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

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

Mathematics for Machine Learning (Deisenroth Marc Peter)(Paperback)

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or

Learning Python: Powerful Object-Oriented Programming (Lutz Mark)(Paperback)

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz's popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to

Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with Python (Pajankar Ashwin)(Paperback)

Chapter 1: Data Visualization with LeatherChapter Goal: Introduce readers to the data visualization with a simple library leatherNo of pages: 15Sub - Topics: 1. Introduction to leather2. Installation to leather3. Various types of graphs with leatherChapter 2: Introduction to the Scientific Python

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

Learning Python with Raspberry Pi (Bradbury Alex)(Paperback)

The must-have companion guide to the Raspberry Pi UserGuide Raspberry Pi chose Python as its teaching language of choice toencourage a new generation of programmers to learn how to program.This approachable book serves as an ideal resource for anyonewanting to use Raspberry Pi to learn to program

Learning Tensorflow.Js: Powerful Machine Learning in JavaScript (Laborde Gant)(Paperback)

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learning and the

Machine Learning For Absolute Beginners: A Plain English Introduction (Theobald Oliver)(Paperback)

Featured by Tableau as the first of '7 Books About Machine Learning for Beginners' Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey, there are some theory and

Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence (Lane Dale)(Paperback)

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides you through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or

Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes (Panesar Arjun)(Paperback)

This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.The book has been updated with the latest research in massive data,