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“data analytics curriculum”

Showing 1 - 12 of 12 results for “data analytics curriculum”
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  • AI Rookies Labs Beginning NLP with Orange

    Visual, No-Code Text Analysis

    by Data Analytics Curriculum ...
    AI Rookies Labs: Beginning NLP with Orange is a hands-on, visual lab workbook that introduces students to natural language processing (NLP) using the no-code Orange data mining platform. Designed for high school, college, and independent learners, this book teaches core concepts such as text preprocessing, sentiment analysis, topic modeling, and text classification-without requiring any ... Read more

    $23.79 USD

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  • Building Machine Learning Systems with Python

    by Willi Richert, Luis Pedro Coelho ...
    This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and ... Read more

    $27.89 USD or Free with Kobo Plus

  • Deep Learning for Computer Vision

    Expert techniques to train advanced neural networks using TensorFlow and Keras

    by Rajalingappaa Shanmugamani ...
    Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasksKey Features\[\*\] Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision\[\*\] Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and ... Read more

    $34.19 USD or Free with Kobo Plus

  • Deep Learning Cookbook

    Practical Recipes to Get Started Quickly

    by Douwe Osinga ...
    Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problems for classifying and generating text, images, and music.Each ... Read more

    $36.79 USD

  • Advanced Analytics with R and Tableau

    Advanced analytics using data classification, unsupervised learning and data visualization

    by Jen Stirrup, Ruben Oliva Ramos, LOURDES BOLAÑOS PÉREZ ...
    Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of RKey FeaturesA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and RCombine Tableau analytics and visualization with the power of R using this step-by-step guideWondering how R can be used with Tableau? This book is ... Read more

    $34.19 USD or Free with Kobo Plus

  • Building Machine Learning Systems with Python

    Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow

    by Luis Pedro Coelho, Willi Richert, Matthieu Brucher ...
    Build intelligent end-to-end machine learning systems with PythonKey FeaturesUse scikit-learn and TensorFlow to train your machine learning modelsImplement popular supervised and unsupervised machine learning algorithms in PythonDiscover best practices for building production-grade machine learning systems from scratchBook DescriptionMachine learning enables systems to make predictions based on ... Read more

    $34.19 USD or Free with Kobo Plus

  • Hands-On Natural Language Processing with Python

    A practical guide to applying deep learning architectures to your NLP applications

    by Rajesh Arumugam, Rajalingappaa Shanmugamani ...
    Foster your NLP applications with the help of deep learning, NLTK, and TensorFlowKey FeaturesWeave neural networks into linguistic applications across various platformsPerform NLP tasks and train its models using NLTK and TensorFlowBoost your NLP models with strong deep learning architectures such as CNNs and RNNsBook DescriptionNatural language processing (NLP) has found its application in ... Read more

    $34.19 USD or Free with Kobo Plus

  • Machine Learning for OpenCV 4

    Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn

    by Aditya Sharma, Vishwesh Ravi Shrimali, Michael Beyeler, Michael Beyeler (USD) ...
    A practical guide to understanding the core machine learning and deep learning algorithms, and implementing them to create intelligent image processing systems using OpenCV 4Key FeaturesGain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learnGet up to speed with Intel OpenVINO and its integration with OpenCV 4Implement high-performance machine learning ... Read more

    $34.19 USD or Free with Kobo Plus

  • Python Machine Learning By Example

    Implement machine learning algorithms and techniques to build intelligent systems

    by Yuxi (Hayden) Liu ...
    Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learnKey FeaturesExploit the power of Python to explore the world of data mining and data analyticsDiscover machine learning algorithms to solve complex challenges faced by data scientists todayUse Python libraries such as TensorFlow and Keras to ... Read more

    $26.59 USD or Free with Kobo Plus

  • Fast Track UML 2.0

    by Kendall Scott ...
    Series series Professional and Applied Computing (R0)
    The Unified Modeling Language (UML) is a methodology to document the analysis and design of the software development process. Through the use of standard diagrams for such concepts as use cases, interactions, and collaborations, among many others, "Fast Track UML 2.0" explores the modeling techniques and the changes since the prior UML 1.3 standard.This book presents a distillation of the contents ... Read more

    $23.79 USD

  • Text Mining in Practice with R

    by Ted Kwartler ...
    A reliable, cost-effective approach to extracting priceless business information from all sources of textExcavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to ... Read more

    $68.00 USD

  • Academic English for Computer Science

    Academic English

    by Disigma Publications, Noni Rizopoulou ...
    Series series Academic English
    Academic English for Computer Science aims to provide a tool for the effective study of computational science and technology. It addresses international students who use English as a second language. It can be used as a foundation course in undergraduate programs of computer science, computer engineering, and information technology.The material of this course draws content from core areas of ... Read more

    $33.10 USD or Free with Kobo Plus