Old Search System: Machine Learning, Data Science and Deep Learning w




  • Lean ML: Beginner\'s Guide to Machine Learning with Python

    https://www.udemy.com/course/lean-ml-beginners-guide-to-machine-learning-with-python/ The easiest way to learn machine learning without going back to college.


    Master the fundamentals of machine learning with ease! Whether you\'re coming from a background in mobile and web development, business analysis, engineering, or a university student, your journey into this exciting and complex field starts with learning the fundamentals. In this online video course, I will teach you the basics...


  • Data Analytics , Ui Ux , Machine Learning Complete Course

    Published 1/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.32...


    What you\'ll learn
    This course is designed to be beginner-friendly, ensuring that even middle school students and individuals
    Understand the basics of Power BI and its significance in data analysis.
    Understand how to integrate Roboflow into the project workflow, leveraging its features for efficient dataset management, augmentation, and optimization for bot
    Familiarize yourself with...


  • Mathematics & Statistics Foundations | Machine Learning & AI

    https://www.udemy.com/course/mathematics-statistics-foundations-machine-learning-ai/Learn the core mathematical concepts, Probability & Statistics for Data Science, Data Analytics, Machine &...


    What you'll learn:
    Understand and implement Regression, Classification, and Clustering algorithms
    Learn Linear Algebra, Calculus for Machine and Deep Learning
    Build Mathematical intuition especially Calculus required...


  • Artificial Intelligence and Machine Learning Course (2024)

    https://www.udemy.com/course/artificial-intelligence-and-machine-learning-course-i/Basic ideas and techniques in the design of intelligent computer systems.


    What you'll learn
    Identify potential areas of applications of AI
    Basic ideas and techniques in the design of intelligent computer systems
    Statistical and decision-theoretic modeling paradigm


  • Building Credit Card Fraud Detection with Machine Learning

    https://www.udemy.com/course/building-credit-card-fraud-detection-with-machine-learning/ Learn how to build credit card fraud detection model using Random Forest, Logistic Regression...


    Welcome to Building Credit Card Fraud Detection Model with Machine Learning course. This is a comprehensive project based course where you will learn step by step on how to build a credit card fraud detection model using logistic regression, support vector machine, and random forest. This course is a perfect...


  • Coursera - IBM Machine Learning Professional Certificate

    https://www.coursera.org/professional-certificates/ibm-machine-learning Prepare for a career in the field of machine learning. In this program, you'll...


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  • Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges

    Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challengesby Sahoo,...


    The primary objective of this book is to provide insight into the design and development of the intelligent system. The proposed book volume mainly focuses on a machine learning and deep learning-based intelligent system that would bring out the latest trends in the field of tourism, healthcare, agriculture, etc. This...


  • Distributed Machine Learning Patterns

    Distributed Machine Learning Patternsby Yuan Tang English | 2023 | ISBN: 1617299022 | 248 pages...



    Practical patterns for scaling machine learning from your laptop to a distributed cluster.
    Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. This book reveals best practice techniques and insider tips for tackling the challenges...


  • Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence

    Machine Learning for Kidsby Dale Lane English | 2021 | ISBN: 1718500564 | 291 pages...


    A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers 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 artificial intelligence. AI is based on the idea...


  • Skill Up with Python: Data Science and Machine Learning Recipes

    Released 1/2024MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning |...






  • Signals, Instrumentation, Control, and Machine Learning: An Integrative Introduction

    Signals, Instrumentation, Control, and Machine Learning: An Integrative Introduction (842 Pages)by Joseph Bentsman English |...


    This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab...


  • Automation in the Welding Industry: Incorporating Artificial Intelligence, Machine Learning and Other Technologies

    Automation in the Welding Industryby Moinuddin, Syed Quadir;Saheb, Shaik Himam;Dewangan, Ashok Kumar;Cheepu, Murali Mohan;Balamurugan, S.;...


    AUTOMATION IN THE WELDING INDUSTRY
    This volume serves as a multidimensional perspective of welding practices in Industry 5.0 from the perspective of automation, digitization, digital twins, cobots, virtual reality, augmented reality, machine learning, artificial intelligence, and IoT ranging from rudiments to advanced applications.
    This book introduces the concept of Industry 5.0 in...


  • Practical Machine Learning (2024)

    https://www.udemy.com/course/practical-ml/ Explore some data. Build data workflows. Build models. Deploy models.


    The course covers many of the cornerstones of practical machine learning, including: Industry Use Cases and Employer Expectations: Explore a variety of industry applications for machine learning and understand what companies are looking for in ML roles. Exploring Real-World data: Gain hands-on experience with data sourced from a real-world scenario,...


  • A Foundation For Machine Learning and Data Science

    https://www.udemy.com/course/a-foundation-for-machine-learning-and-data-science/ A solid foundational course for ML and Data Science with Python, Linear Algebra, Statistics,...


    This course is designed by an industry expert who has over 2 decades of IT industry experience including 1.5 decades of project/ program management experience, and over a decade of experience in independent study and research in the fields of Machine Learning and Data Science. The course will equip students...


  • Machine Learning and Deep Learning in Neuroimaging Data Analysis

    Machine Learning and Deep Learning in Neuroimaging Data Analysisby Anitha S. Pillai; Bindu Menon English...


    Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how...


  • Projects And Case Studies On Machine Learning With Python

    Published 1/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.91...


    What you\'ll learn
    You will learn how to use data science and machine learning with Python.
    You will be able to analyze your own data sets and gain insights through data science.
    Master critical data science skills.
    Replicate real-world situations and data reports.
    Requirements
    No prior knowledge of machine learning required
    Basic knowledge of Python
    Description
    There are lots...


  • Supervised Machine Learning In Python

    Published 1/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 5.78...


    What you'll learn
    Python Basics
    Machine Learning Algorithms like Regression, Classification, Naive Bayes Classifier, Decision Tree, Support Vector Machine Algorithm etc..
    Machine learning Concept and Different types of Machine Learning
    Data Science libraries like Numpy , Pandas , Matplotlib, Scipy, Scikit Learn, Seaborn , Plotly and many more
    Requirements
    Python porgramming language and Data pre-processing techniques
    Description
    In...


  • Cluster Analysis Unsupervised Machine Learning Course Bundle

    Published 1/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.17...


    What you\'ll learn
    How to use cluster analysis in data mining
    About the various types of clusters
    About the Marketing applications of cluster analysis
    Implications of wide variety of clustering techniques
    Use clustering in statistical analysis
    Requirements
    Basic knowledge of statistics is required. Some familiarity with data analysis will be considered as an added advantage though it...


  • Machine Learning With Python

    Published 1/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.71...


    What you\'ll learn
    learn how to use data science and machine learning with Python.
    Understand Machine Learning from top to bottom.
    Learn NumPy for numerical processing with Python.
    Create supervised machine learning algorithms to predict classes.
    Requirements
    No prior knowledge of machine learning required. Basic knowledge of Python
    Description
    Machine learning is a subfield of computer science stemming...


  • Machine Learning in Medical Imaging and Computer Vision

    Machine Learning in Medical Imaging and Computer Visionby Amita Nandal, Liang Zhou, Arvind Dhaka, Todor...



    Medical images can highlight differences between healthy tissue and unhealthy tissue and these images can then be assessed by a healthcare professional to identify the stage and spread of a disease so a treatment path can be established. With machine learning techniques becoming more prevalent in healthcare, algorithms can be...