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  • Python tutorial from Zero to Hero: + Machine Learning

    https://www.udemy.com/course/2020-python-tutorial-from-zero-to-hero-machine-learning/ Includes Machine Learning, Artificial Intelligence, Data Science, Computer Vision, Scraping!


    Will this course give you core python skills?
    Yes, it will. There is a range of exciting opportunities for Python developers. All of them require a solid understanding of Python, and that's what you will learn in this course. Will the course teach me data science, machine learning, and artificial intelligence?
    Yes,...


  • Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines

    Machine Learning Theory and Applicationsby Vasques, Xavier; English | 2024 | ISBN: 1394220618 | 510...


    Machine Learning Theory and Applications
    Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries
    Machine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in...


  • Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)

    Enterprise AI in the Cloudby Jay, Rabi; English | 2023 | ISBN: 1394213050 | 527...


    Embrace emerging AI trends and integrate your operations with cutting-edge solutions
    Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into...


  • Master Machine Learning 5 Projects: Mldata Interview Showoff

    Published 1/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 386.43...


    What you\'ll learn
    Understand the data analysis process: Gain a deep understanding of the data analysis workflow, including data preprocessing, visualization.
    Learn feature engineering. Learn how to extract meaningful insights from complex datasets and make data-driven decisions.
    Master predictive modeling techniques: Develop expertise in building predictive models using machine learning algorithms.
    Explore classification and...


  • The Definitive Guide to Google Vertex AI: Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps

    The Definitive Guide to Google Vertex AIby Jasmeet Bhatia | Kartik Chaudhary English | 2024...



    Implement machine learning pipelines with Google Cloud Vertex AI
    Key Features
    Understand the role of an AI platform and MLOps practices in machine learning projects
    Get acquainted with Google Vertex AI tools and offerings that help accelerate the creation of end-to-end ML solutions
    Implement Vision, NLP, and recommendation-based real-world ML models...


  • Molecular Networking: Statistical Mechanics in the Age of AI and Machine Learning

    Molecular Networking; Statistical Mechanics in the Age of AI and Machine Learningby Caroline Desgranges English...


    The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or \"communication\" processes, allow for the prediction...


  • IoT, Machine Learning and Data Analytics for Smart Healthcare

    IoT, Machine Learning and Data Analytics for Smart Healthcareby Mourade Azrour, Jamal Mabrouki, Azidine Guezzaz,...



    In today\'s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart...


  • Coursera - Machine Learning and Reinforcement Learning in Finance Specialization

    https://www.coursera.org/specializations/machine-learning-reinforcement-finance The main goal of this specialization is to provide the knowledge and practical skills...


    Machine_Learning_and_Reinforcement_Learning_in_Finance_Specialization.part1.rar
    Machine_Learning_and_Reinforcement_Learning_in_Finance_Specialization.part2.rar
    Machine_Learning_and_Reinforcement_Learning_in_Finance_Specialization.part3.rar
    Machine_Learning_and_Reinforcement_Learning_in_Finance_Specialization.part4.rar


  • Machine Learning For Beginner (Ai) - Data Science

    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English (US) | Size: 3.56...


    What you'll learn
    Fundamental of Machine Learning; Introduction, types of machine learning, applications
    Supervised, Unsupervised and Reinforcement learning
    Principal Component Analysis (PCA); Introduction, mathematical and graphical concepts
    Confusion matrix, Under-fitting and Over-fitting, classification and regression of machine model
    Support Vector Machine (SVM) Classifier; Introduction, linear and non-linear SVM model, optimal hyperplane, kernel trick, project in...


  • Machine Learning with Apache Spark 3.0 using Scala

    https://www.udemy.com/course/machine-learning-with-apache-spark-3-using-scala/Machine Learning with Apache Spark 3.0 using Scala with Examples and 4 Projects


    What you'll learn
    Fundamental knowledge on Machine Learning with Apache Spark using Scala
    Learn and master the art of Machine Learning through hands-on projects, and then execute them up to run on Databricks cloud computing services
    You will Build Apache Spark Machine Learning Projects (Total 4 Projects)
    Explore Apache Spark and Machine Learning on...


  • Be A Data Scientist In 2024: Machine Learning With Python

    Published 1/2024https://www.udemy.com/course/be-a-data-scientist-in-2024-machine-learning-with-python/ Practical Data Science Skills, Python, Real-World Machine Learning, Predictive Modeling, Project-Based Learning


    What you\'ll learn
    Define the roles of Data Scientist
    Model and interpret a complete machine learning project on python
    Be able to answer most-asked Data Scientist interview questions
    Explain the logic and all the fundamentals about Machine Learning algorithms
    Requirements
    No Machine Learning experience needed
    High school level algebra
    Very basic understanding about some programming terms (what is...


  • Built-in Machine Learning in the Wolfram Language

    https://www.linkedin.com/learning/built-in-machine-learning-in-the-wolfram-languageYou can apply machine learning to diverse subject areas without expert-level knowledge with the help...


    This course provides an introduction to the many machine learning functions available for such wide-ranging tasks as image identification, text recognition, sentiment classification and others. Explore the automated machine learning capabilities of Wolfram Language through examples, and learn to execute simple machine learning tasks on different types of inputs, use...


  • Machine Learning for Physicists: A hands-on approach

    Machine Learning for Physicistsby Sadegh Raeisi and Sedighe Raeisi English | 2023 | ISBN: 0750349557...


    This book presents ML concepts with a hands-on approach for physicists. The goal is to both educate and enable a larger part of the community with these skills. This will lead to wider applications of modern ML techniques in physics. Accessible to physical science students, the book assumes a familiarity...


  • Blockchain and Machine Learning for IoT Security

    Blockchain and Machine Learning for IoT Securityby Mourade Azrour English | 2024 | ISBN: 1032563443...


    The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On...


  • Build Production-Ready Machine Learning Systems on Google

    https://www.udemy.com/course/build-production-ready-machine-learning-systems-on-google/From Concept to Deployment: Mastering ML System Development on GCP


    What you\'ll learn:
    Introduction to getting started with Google Cloud Platform (GCP)
    Reading in and processing text data within GCP
    Develop machine learning algorithms in GCP


  • Applied Machine Learning Using mlr3 in R

    Applied Machine Learning Using mlr3 in Rby Bernd BischlEnglish | 2024 | ISBN: 1032515678 |...


    mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It...


  • Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner

    Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Minerby Dothang Truong English |...


    As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from...


  • Image Processing and Machine Learning, Volume 1: Foundations of Image Processing

    Image Processing and Machine Learning, Volume 1; Foundations of Image Processingby Erik CuevasEnglish | 2024...


    Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves...