Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Machine Learning with Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to The Next Level of Coding and Algorithms Optimization
Machine Learning with Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to The Next Level of Coding and Algorithms Optimization

Machine learning is rapidly changing the world, from diverse types of applications and research pursued in industry and academia. 

Machine learning is affecting every part of your daily life. From voice assistants using NLP and machine learning to make appointments, check your calendar, and play music,...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
Python 3 Text Processing with NLTK 3 Cookbook
Python 3 Text Processing with NLTK 3 Cookbook

Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0

About This Book

  • Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
  • Learn how to do custom sentiment analysis and named entity...
NLTK Essentials
NLTK Essentials

Build cool NLP and machine learning applications using NLTK and other Python libraries

About This Book

  • Extract information from unstructured data using NLTK to solve NLP problems
  • Analyse linguistic structures in text and learn the concept of semantic analysis and parsing
  • ...
fastText Quick Start Guide: Get started with Facebook's library for text representation and classification
fastText Quick Start Guide: Get started with Facebook's library for text representation and classification

Perform efficient fast text representation and classification with Facebook's fastText library

Key Features

  • Introduction to Facebook's fastText library for NLP
  • Perform efficient word representations, sentence classification, vector representation
  • ...
Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python
Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python

Become a master at penetration testing using machine learning with Python

Key Features

  • Identify ambiguities and breach intelligent security systems
  • Perform unique cyber attacks to breach robust systems
  • Learn to leverage machine learning algorithms
  • ...
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

  • Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
  • ...
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites...
Natural Language Processing with Java (Community Experience Distilled)
Natural Language Processing with Java (Community Experience Distilled)

Explore various approaches to organize and extract useful text from unstructured data using Java

About This Book

  • Integrate basic tasks to tackle more complex NLP problems
  • Train NLP models to address domain-specific problem areas
  • Learn to use a variety of core NLP techniques...
Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work
Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work

What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems.

From...

unlimited object storage image
Result Page: 6 5 4 3 2 1 
©2021 LearnIT (support@pdfchm.net) - Privacy Policy