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Results for "model training"


  • M

    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Model Deployment, Model Training, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Data Store, Data Integration, Data Lakes, Model Evaluation, Transfer Learning, Cloud Management, Machine Learning Methods, Machine Learning, Data Processing, Data Preprocessing, Data Pipelines, Data Transformation, Data Manipulation

    ★ 4.2 (618) · Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Processing and Analyzing Big Data in AWS

    Skills you'll gain: Amazon Redshift, AWS SageMaker, AWS Kinesis, Data Pipelines, Apache Spark, Amazon Web Services, Big Data, Apache Hive, Kibana, Data Warehousing, Data Processing, Model Deployment, Data Migration, Extract, Transform, Load, Real Time Data, Ad Hoc Analysis, Data Transformation, Cloud Computing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Python Programming

    ★ 4.5 (695) · Advanced · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    ★ 4.3 (178) · Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Prepare for DP-100: Data Science on Microsoft Azure Exam

    Skills you'll gain: Databricks, Model Deployment, Responsible AI, Model Training, Microsoft Azure, Data Science, Applied Machine Learning, Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning Methods, Machine Learning, Data Preprocessing

    ★ 4.4 (80) · Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Model Training, Machine Learning Methods, Data Processing, Deep Learning, Data Transformation, Model Deployment, Data Pipelines, Data Manipulation, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis

    ★ 3.1 (79) · Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security

    ★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Data Processing, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Model Optimization, Regression Analysis, Forecasting

    ★ 4.5 (28) · Intermediate · Course · 1 - 4 Weeks

  • I

    Illinois Tech

    Data Preparation and Analysis

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Preprocessing, Data Processing, Model Training, Correlation Analysis, Decision Tree Learning, Logistic Regression

    ★ 4.3 (6) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    ★ 4.7 (26) · Intermediate · Guided Project · Less Than 2 Hours

  • L

    LearnKartS

    AWS AI Practitioner Certification Prep

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Model Optimization, Generative Model Architectures, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Artificial Intelligence, Model Training, Cloud Security, Amazon Elastic Compute Cloud, Risking, AI literacy, Embeddings, MLOps (Machine Learning Operations), Deep Learning, Data Wrangling

    ★ 4.5 (13) · Beginner · Specialization · 1 - 3 Months

  • W

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, LLM Application, Generative Model Architectures, Model Deployment, Fine-tuning, Model Optimization, Model Training, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Machine Learning, Data Quality

    ★ 4.1 (8) · Intermediate · Course · 1 - 4 Weeks

1…101112…728

In summary, here are 10 of our most popular model training courses

  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Processing and Analyzing Big Data in AWS: Packt
  • AI Capstone Project with Deep Learning : IBM
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
  • Perform data science with Azure Databricks: Microsoft
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Data Preparation and Analysis: Illinois Tech
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera

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