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Category: "Machine Learning"

Books

  1. Feature Selection in Machine Learning
    Over 20 methods to select the most predictive features and build simpler, faster, and more reliable machine learning models.
    Soledad Galli, PhD

    Learn how to implement various feature selection methods in a few lines of code and train faster, simpler, and more reliable machine learning models. Using Python open-source libraries, you will learn how to find the most predictive features from your data through filter, wrapper, embedded, and additional feature selection methods.

  2. 5G Basics & Architecture
    Ahmad Manzoor

    This is a short manual to understand the 4th Industrial Revolution Technologies & 5G in very easy & understandable language.

  3. Behavior Analysis with Machine Learning and R
    A Sensors and Data Driven Approach
    Enrique Garcia Ceja

    Learn how to leverage the power of machine learning and deep learning to analyze behavioral patterns from sensors data and electronic records. This book shows you how to explore, preprocess, encode, and visualize your data. Learn introductory machine learning concepts and how to train supervised and unsupervised models using R.

  4. Hiring Data Scientists and Machine Learning Engineers
    A Practical Guide
    Roy Keyes

    Hiring Data Scientists and Machine Learning Engineers is a concise, practical guide to help you hire the right people for your organization. The book will help you navigate the plethora of data science related roles and skills and help you create an effective hiring strategy to suit your organization's needs.

  5. Machine Learning Factory
    From the Idea to the Continuous Maintenance of any Machine Learning Application
    Larysa Visengeriyeva
    No Description Available
  6. Leaving the Rat Race with Python
    An Insider's Guide to Freelance Developing
    Finxter and Lukas Rieger

    Is There a Six-Figure Freelance Developer in You?Leaving the Rat Race with Python shows you how to nurture, grow, and harness your work-from-home coding business online --- and live the good life!It's an insider's guide to freelance developing. Start your new thriving coding business now!

  7. Data Science Workflow for Beginners
    Start your Data Science Journey into a Successful High Paying Career
    A.J. García

    This book takes you on an exclusive tour of Data Science, discover the workflow successful data scientists are following and download 26 datasets to start your journey right away after following the 3 data visuzalization projects on the book.

  8. Machine Learning: Theory and Implementation with Python
    Tanvir Islam
    No Description Available
  9. L’apprentissage automatique dans la vraie vie
    Petit guide pour la mise en production
    Nastasia Saby

    Un modèle de machine learning aussi puissant soit-il n’a aucune valeur s’il n’est pas en production. Le temps où l’apprentissage automatique était magique est dépassé. Ce qu’on veut aujourd’hui, ce sont des modèles en production qui apportent une plus-value. Ce livre est un guide pour mettre en production des modèles de machine learning.

  10. Clean Machine Learning Code
    Moussa Taifi

    Isn't it weird that ML software is super important, yet crazy fragile? If ML software is valuable but so unstable, how come data scientists and ML engineers are rarely trained on the basics of building profitable software systems? What to do about it?

  11. Deep Learning with PyTorch Step-by-Step
    A Beginner's Guide
    Daniel Voigt Godoy

    Revised for PyTorch 2.x! In 2019, I published a PyTorch tutorial on Towards Data Science and I was amazed by the reaction from the readers! Their feedback motivated me to write this book to help beginners start their journey into Deep Learning and PyTorch. I hope you enjoy reading this book as much as I enjoy writing it.

  12. تعلم من خلال التطبيق: خوارزميات تعلم الآلة
    جميع الخوارزميات تم تطبيقها من خلال لغة بايثون
    د. إياد أبودوش

    هل تريد تعلم خوارزميات تعلم الالة بشكل عملي واضح وتطبيقي. في هذا الكتاب ستجد مرجع لخوارزميات تعلم الآلة مع أمثلة تطبيقية بلغة بايثون بلغة واضحة وسهلة الفهم

  13. FRAMEWORK OF TRANSACTIONAL BANKING FRAUD DETECTION
    VENALI SONONE
    No Description Available
  14. Machine Learning Brick by Brick, Epoch 1
    Using LEGO® to Teach Concepts, Algorithms, and Data Structures
    Dmitry Vostokov

    This machine learning book series aims at providing real hands-on training from general concepts and architecture to low-level details and mathematics. The first epoch covers the simplest linear associative network, proposes a brick notation for algebraic expressions, shows required calculus derivations, and illustrates gradient descent.

  15. Errors of Regression Models
    One Stat to Rule Them All
    Lee Baker

    In Errors of Regression Models you’ll learn how to choose the most appropriate statistics to measure the accuracy of your regression-based prediction model.Written in plain English with no technical jargon, Errors of Regression Models is perfect for beginners!Discover how to measure the accuracy of your regression models quickly and effectively.