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  • Python Data Representations

Results for "python data representations"


  • G

    Google

    Maximize Productivity With AI Tools

    Skills you'll gain: Gemini, Google Workspace, Productivity Software, Generative AI, AI Enablement, AI Workflows, Prompt Engineering, Responsible AI, Operational Efficiency, Business Workflow Analysis, Human Factors, Complex Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • V

    Vanderbilt University

    AI Agents in Java with Generative AI

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI Agents, LLM Application, Productivity, OpenAI, AI Orchestration, OpenAI API, AI Enablement, Java, Java Programming, AI Workflows, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, Tool Calling, Creativity, Document Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    610 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Data-Driven Decision-Making, LLM Application, Data Flow Diagrams (DFDs), Semantic Web, Database Theory, Prompt Engineering, Database Design, NumPy, Databases, Generative AI, Data Analysis, NoSQL, Embeddings, Model Evaluation, Simulations, Data-oriented programming, Python Programming, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    Use AI Responsibly

    Skills you'll gain: AI Security, Workplace inclusivity, Social Impact, Generative AI, Analysis, Critical Thinking, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • E

    Edureka

    Prompt Engineering for LLMs

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, LangChain, Large Language Modeling, Responsible AI, Generative AI Agents, OpenAI, Generative AI, AI Personalization, Context Management, Natural Language Processing, CI/CD, Python Programming, Pandas (Python Package), Scalability, Application Development, Safety and Security

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Reliable LLM Systems

    Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)

    Intermediate · Course · 1 - 3 Months

1…186187188…834

In summary, here are 10 of our most popular python data representations courses

  • Maximize Productivity With AI Tools: Google
  • AI Agents in Java with Generative AI: Vanderbilt University
  • Convolutional Neural Networks: DeepLearning.AI
  • The Nuts and Bolts of Machine Learning: Google
  • Vector DB Foundations, Embeddings & Search Algorithms: Coursera
  • Use AI Responsibly: Google
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • IBM Introduction to Machine Learning: IBM
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud

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