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  • Math For Machine Learning

Math For Machine Learning Courses

Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.


Popular Math For Machine Learning Courses and Certifications


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    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Productivity, Creativity, Self-Discipline, Stress Management, Self-Awareness, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Methods, Algorithms, NumPy, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Planning for Teaching and Learning

    Skills you'll gain: Growth Mindedness, Teaching, Lesson Planning, Pedagogy, Trustworthiness, Student Engagement, Instructional Strategies, Learning Theory, Curriculum Planning, Instructional Design, Adult Learning Principles, Goal Setting, Relationship Building, Professional Development, Collaboration, Constructive Feedback

    4.8
    Rating, 4.8 out of 5 stars
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    301 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    تعليم lookup, math, text ,reference فى Excel

    Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Entry, Data Analysis Expressions (DAX), Business Mathematics

    4.5
    Rating, 4.5 out of 5 stars
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    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
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    42 reviews

    Beginner · Specialization · 1 - 3 Months

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    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning, Machine Learning, Random Forest Algorithm, Classification Algorithms, Decision Tree Learning, Embeddings, Model Evaluation, Feature Engineering, Dimensionality Reduction, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Google Cloud Platform, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Data Cleansing, Supervised Learning, MLOps (Machine Learning Operations), Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
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    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    4
    Rating, 4 out of 5 stars
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    8 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular math for machine learning courses

  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Foundations of Teaching for Learning: Planning for Teaching and Learning: Commonwealth Education Trust
  • تعليم lookup, math, text ,reference فى Excel: Coursera
  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University

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