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  • Python Implementations

Results for "python implementations"


  • I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    360 reviews

    Advanced · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Ethics and Safety in Open AI

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    RAG Systems in Practice

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LangChain, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Prompt Engineering, Large Language Modeling, Vector Databases, Data Preprocessing, Scalability, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    934 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    869 reviews

    Beginner · Course · 1 - 3 Months

  • E

    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Anomaly Detection, AI Product Strategy, Cloud Computing, Internet Of Things, Product Engineering, Prototyping, Industrial Engineering, Product Development, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    884 reviews

    Intermediate · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    678 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Integrate Embeddings and Chroma

    Skills you'll gain: Vector Databases, LangChain, Data Integration, Retrieval-Augmented Generation, Prompt Engineering, AI Orchestration, OpenAI

    Intermediate · Course · 1 - 4 Weeks

  • Status: Hands-On Projects
    Hands-On Projects
    U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Supervised Learning

    Earn a degree

    Degree · 1 - 4 Years

  • C

    Coursera

    Design Real-Time Architectures with Spark & Kafka

    Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, System Monitoring, Architecture and Construction, Data Transformation, Performance Management

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

1…707172…157

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

  • IBM AI Enterprise Workflow: IBM
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Ethics and Safety in Open AI: Coursera
  • RAG Systems in Practice: Edureka
  • Generative AI Engineering with LLMs: IBM
  • Combinatorics and Probability: University of California San Diego
  • Edge AI for Microcontrollers: Edge Impulse
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Integrate Embeddings and Chroma: Coursera
  • Master of Science in Data Science: University of Colorado Boulder

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