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    Results for "advanced machine learning"

    • U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      937 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      CertNexus

      Build Decision Trees, SVMs, and Artificial Neural Networks

      Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • L

      Ludwig-Maximilians-Universität München (LMU)

      Competitive Strategy and Organization Design

      Skills you'll gain: Mergers & Acquisitions, Customer Retention, Business Research, Business Strategy, Organizational Structure, Organizational Strategy, Peer Review, Game Theory, Strategic Thinking, Competitive Analysis, Strategic Partnership, Product Strategy, Report Writing, Business Consulting, Growth Strategies, Organizational Effectiveness, Strategic Decision-Making, Management Consulting, Corporate Strategy, Compliance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Science of Exercise

      Skills you'll gain: Kinesiology, Nutrition and Diet, Health Assessment, Pharmacology, Public Health and Disease Prevention, Preventative Care, Respiration, Anatomy, Chronic Diseases, Vital Signs, Biochemistry, Biology, Cardiology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Customer Analytics

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Marketing Analytics, Predictive Analytics, Customer Insights, Customer Analysis, Business Analytics, Customer Data Management, Analytics, Marketing, Data Collection, Market Research, Regression Analysis, Consumer Behaviour, Correlation Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      Y

      Yonsei University

      Learn to Speak Korean 1

      Skills you'll gain: Language Competency, Language Learning, Vocabulary, Oral Comprehension, Grammar

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Operational Excellence, Statistical Analysis, Process Analysis, Process Mapping, Correlation Analysis, Business Process Management, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Medical Neuroscience

      Skills you'll gain: Neurology, Anatomy, Medical Science and Research, Psychology, Pathology, Molecular Biology, Biology, Pharmacology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 3 - 6 Months

    • B

      Berklee

      The Singer Songwriter

      Skills you'll gain: Music Theory, File Management, Music, Music Performance, Musical Composition, Peer Review, Instrumental Music, Self-Awareness, Performing Arts, Creativity, Automation, Storytelling, Writing, Editing, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Exploratory Data Analysis, Dimensionality Reduction, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, Computer Vision, Predictive Modeling, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Random Forest Algorithm, Python Programming, Generative AI, Statistical Machine Learning

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      112 reviews

      Intermediate · Specialization · 3 - 6 Months

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    In summary, here are 10 of our most popular advanced machine learning courses

    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Deep Learning with Keras and Tensorflow: IBM
    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • Competitive Strategy and Organization Design: Ludwig-Maximilians-Universität München (LMU)
    • Science of Exercise: University of Colorado Boulder
    • Customer Analytics: University of Pennsylvania
    • Learn to Speak Korean 1: Yonsei University
    • Six Sigma Green Belt: Kennesaw State University
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Medical Neuroscience: Duke University

    Frequently Asked Questions about Advanced Machine Learning

    Advanced machine learning is a field of computer science that looks at how to improve computing power by allowing programs to learn as they run, without additional programming. It is a form of artificial intelligence. Advanced machine learning calls for sophisticated programming that includes statistical analysis and generative adversarial networks to find the best path to learning.‎

    Typical careers that use advanced machine learning are in data engineering, data science, and computer programming. These are fields where work with big data sets is expected to increase. Advanced machine learning is also widely used in algorithmic trading and finance, so people who want to work in financial markets may want to learn it. Advanced machine learning is a field that is expected to grow as more computing environments include some aspects of machine learning. Management careers that involve data analysis, strategic planning, and prediction are easier when the programs can learn about the data involved.‎

    Online courses can help you learn advanced machine learning through courses, Specializations, and Professional Certificates offered by universities and by software companies. Courses in Apache Spark, Keras, TensorFlow, MongoDb, and PySpark, among other packages, can help you learn how machine learning works in specific programming environments. Other classes cover the math and statistics needed to understand the underlying logic. Despite the name, not all courses are at an advanced level, although beginner courses in advanced machine learning call for background knowledge. Specializations and Guided Projects help you demonstrate your knowledge and test what you know.‎

    You'll want to make sure you have a strong foundation of machine learning fundamentals before moving onto advanced concepts and classes. It's helpful to know the fundamentals of scalable data science and mathematics, including linear algebra and multivariate calculus. Programming, especially in Python, is also recommended, as is basic knowledge of SQL. ‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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