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Results for "gradient"


  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    ★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    ★ 4.5 (174) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision

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

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    How to Create Color Gradients in Adobe Illustrator

    Skills you'll gain: Graphic and Visual Design, Adobe Creative Cloud, Graphical Tools, Graphic Design, Logo Design, Graphics Software, Graphic and Visual Design Software, Creative Design, Computer Graphic Techniques, Digital Design

    ★ 4.5 (10) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • S

    Skillshare

    Affinity Photo: Beyond the Basics – Masking & Color

    Skills you'll gain: Photo Editing, Creative Design, Image Quality, Editing

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Statistical Analysis, Statistical Methods, Data Analysis Software, Predictive Modeling, Statistical Modeling, Statistical Software, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California, Irvine

    Basics of Extracellular Vesicles

    Skills you'll gain: Blood Collection, Specimen Collection, Specimen Processing, Specimen Preparation, Laboratory Testing, Cell Cultures, Biochemical Assays, Cell Biology, Analytical Testing, Laboratory Research, Molecular, Cellular, and Microbiology, Molecular Biology, Biology

    ★ 4.7 (355) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Model Optimization, Embeddings, Text Mining, Logistic Regression, Model Training, Statistical Modeling, Machine Learning Methods, Markov Model, Classification Algorithms, Data Preprocessing, Supervised Learning

    ★ 3.9 (16) · Intermediate · Course · 1 - 4 Weeks

    Category: Build toward a degree
    Build toward a degree
  • J

    Johns Hopkins University

    Calculus through Data & Modeling: Limits & Derivatives

    Skills you'll gain: Calculus, Data Analysis Software, Mathematical Software, Applied Mathematics, Data Analysis, Analysis, Mathematical Theory & Analysis, Derivatives, Advanced Mathematics, Graphing, Algebra

    ★ 4.7 (209) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    ★ 4.9 (32K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Model Training, Regression Analysis, NumPy, Machine Learning Algorithms, Machine Learning, Model Optimization, Deep Learning, Data Science, Python Programming

    ★ 4.6 (440) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Transfer Learning, Image Analysis, Predictive Modeling, Deep Learning, Radiology, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing, Data Transformation

    ★ 4.5 (340) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
1…456…14

In summary, here are 10 of our most popular gradient courses

  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Creating Multi Task Models With Keras: Coursera
  • How to Create Color Gradients in Adobe Illustrator: Coursera
  • Affinity Photo: Beyond the Basics – Masking & Color: Skillshare
  • Modeling Time Series and Sequential Data: SAS
  • Basics of Extracellular Vesicles: University of California, Irvine
  • Fundamentals of Natural Language Processing: University of Colorado Boulder
  • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI

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