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  • Learning And Preparation

Results for "learning and preparation"


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    U

    Universidad Autónoma Metropolitana

    Reading and Comprehension of Text in English Module 2

    Skills you'll gain: Vocabulary, English Language, Grammar, Graphing, Writing, Language Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    C

    Columbia University

    Attaining Higher Education

    Skills you'll gain: Higher Education, Personal Development, Self-Awareness, Academic Advising, Goal Setting, Decision Making, Student Services, Planning, Research, Organizational Skills

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Wrangling, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Data Analysis, Pandas (Python Package), Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Coding Interview Preparation

    Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Computational Thinking, Theoretical Computer Science, Computer Science, Technical Communication, Computer Programming, Program Development, Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    760 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Prompt Engineering, Artificial Intelligence, Deep Learning, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
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    356 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
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    216 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    31K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    277 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    C

    Coursera

    GenAI for Learning and Development

    Skills you'll gain: Responsible AI, Microsoft Copilot, Generative AI, Training and Development, Instructional Design, ChatGPT, Productivity Software, Training Programs, Prompt Engineering, Developing Training Materials, Learning Management Systems, Employee Training, Innovation, Ethical Standards And Conduct, Case Studies, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft PL-300 Exam Preparation and Practice

    Skills you'll gain: Power BI, Microsoft Copilot, Data Visualization Software, Data Modeling, Data Presentation, Interactive Data Visualization, Data Analysis, Microsoft Power Platform, Microsoft Azure, Data Manipulation, Data Transformation, Data Cleansing, Data Import/Export, Test Planning, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    612 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular learning and preparation courses

  • Reading and Comprehension of Text in English Module 2: Universidad Autónoma Metropolitana
  • Attaining Higher Education: Columbia University
  • Sample-based Learning Methods: University of Alberta
  • Data Prep for Machine Learning in Python: Corporate Finance Institute
  • Coding Interview Preparation: Meta
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Foundations of AI and Machine Learning: Microsoft
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Deep Learning and Reinforcement Learning: IBM

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