ISBN
9781784392239
An approachable guide to applying advanced machine learning methods to everyday problems :
This book targets Python programmers, data scientists, and architects with a good knowledge of data science and who want to build complete Python-based machine learning systems.
Author/Authors: Combs, Alexander T.
Pages: 332 | Published Date: 42580
Category: Data
ISBN
9781783553129
Take tiny steps to enter the big world of data science through this interesting guide :
This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed.
Author/Authors: Liu, Yuxi (Hayden)
Pages: 254 | Published Date: 42886
Category: Data
ISBN
9781786467683
100 recipes that teach you how to perform various machine learning tasks in the real world :
This book is for Python programmers who are looking to use machine learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming will certainly be useful to play around with the code.
Author/Authors: Joshi, Prateek
Pages: 304 | Published Date: 42544
Category: Data
ISBN
9781787285521
Leverage the power of machine learning and deep learning to extract information from text data :
This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them.
Author/Authors: Thanaki, Jalaj
Pages: 486 | Published Date: 42947
Category: Data
ISBN
9781786464903
How to build useful, real-world applications in the Python programming language :
This book is for software developers who are familiar with Python and want to gain hands-on experience with web and software development projects. A basic knowledge of Python programming is required.
Author/Authors: Furtado, Daniel | Pennington, Marcus
Pages: 456 | Published Date: 43158
Category: Programming
ISBN
9781783285945
Develop practical Internet of Things prototypes and applications with Arduino and Python :
This is the book for you if you are a student, hobbyist, developer, or designer with little or no programming and hardware prototyping experience, and you want to develop IoT applications. If you are a software developer or a hardware designer and want to create connected devices applications, then this book will help you get started.
Author/Authors: Desai, Pratik
Pages: 400 | Published Date: 42062
Category: IoT & Hardware
ISBN
9781786469151
Become a master of Python programming using the small yet powerful Raspberry Pi Zero :
This book is aimed at hobbyists and programmers who want to learn Python programming and develop applications using the Pi Zero. They should have basic familiarity with electronics.
Author/Authors: Yamanoor, Sai | Yamanoor, Srihari
Pages: 312 | Published Date: 42853
Category: IoT & Hardware
ISBN
9781788993227
Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow :
Python Reinforcement Learning Projects brings various aspects and methodologies of RL using 8 real-world projects that explore RL and will have hands-on experience with real data and artificial intelligence problems. You will learn to build self-learning models using sophisticated techniques like Q-learning, Markov models and Monte-Carlo process.
Author/Authors: Saito, Sean | Wenzhuo, Yang
Pages: 296 | Published Date: 43372
Category: Data
ISBN
9781787126756
Leverage the power of Python to collect, process, and mine deep insights from social media data :
If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.
Author/Authors: Chatterjee, Siddhartha | Krystyanczuk, Michal
Pages: 312 | Published Date: 42944
Category: Data
ISBN
9781849513616
Use Python's NLTK suite of libraries to maximize your Natural Language Processing capabilities. :
The learn-by-doing approach of this book will enable you to dive right into the heart of text processing from the very first page. Each recipe is carefully designed to fulfill your appetite for Natural Language Processing. Packed with numerous illustrative examples and code samples, it will make the task of using the NLTK for Natural Language Processing easy and straightforward. This book is for Python programmers who want to quickly get to grips with using the NLTK for Natural Language Processing. Familiarity with basic text processing concepts is required. Programmers experienced in the NLTK will also find it useful. Students of linguistics will find it invaluable.
Author/Authors: Perkins, Jacob
Pages: 272 | Published Date: 40491
Category: Data
