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Results for "parsons problems"


  • Status: New
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    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

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    Google Cloud

    Encoder-Decoder Architecture - 한국어

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Deep Learning, Applied Machine Learning, Natural Language Processing, Artificial Neural Networks

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

    Intermediate · Course · 3 - 6 Months

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    Packt

    Raspberry Pi and Arduino — Go to the Next Level

    Skills you'll gain: Serial Peripheral Interface, Embedded Software, Telecommunications, Internet Of Things, Communication Systems, Embedded Systems, Computer Hardware, Digital Communications, Automation, Hardware Troubleshooting, Debugging, Remote Access Systems, Python Programming, System Configuration, Image Analysis, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations

    Intermediate · Course · 1 - 3 Months

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    IESE Business School

    Parte 3: Design Thinking de la idea al prototipo

    Skills you'll gain: Ideation, Design Thinking, Brainstorming, Solution Design, Human Centered Design, Innovation, Creative Thinking, Strategic Thinking, Creative Problem-Solving, Problem Solving, Meeting Facilitation, Collaboration

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Starweaver

    GenAI Foundations and AI Agents Development

    Skills you'll gain: Generative AI Agents, Generative AI, Agentic systems, OpenAI, LangChain, Prompt Patterns, Tool Calling, LLM Application, Artificial Intelligence, Large Language Modeling, Responsible AI, Software Architecture, Scalability, Application Deployment, System Design and Implementation, Collaboration, Data Integration, Job Evaluation, Logical Reasoning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular parsons problems courses

  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Data Science Fundamentals, Part 2: Pearson
  • Encoder-Decoder Architecture - 한국어: Google Cloud
  • Generative AI for Developers: Unit 2: Pearson
  • Intermediate Data Manipulation and Machine Learning: Packt
  • Raspberry Pi and Arduino — Go to the Next Level: Packt
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Parte 3: Design Thinking de la idea al prototipo: IESE Business School
  • GenAI Foundations and AI Agents Development: Starweaver
  • Learning Deep Learning: Unit 2: Pearson

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