Guidelines

What are the best books for machine learning Quora?

What are the best books for machine learning Quora?

The following books are for beginners-

  • Machine Learning For Absolute Beginners: A Plain English Introduction (2nd Edition)
  • Machine Learning (in Python and R) For Dummies (1st Edition)
  • Machine Learning for Hackers: Case Studies and Algorithms to Get You Started (1st Edition)
  • What are the best books about machine learning?

    Hands-on Machine Learning with Scikit-Learn,KerasensorFlow. Machine learning is one of those topics that automatically attracts curious minds.

  • The Hundred-page Machine Learning Book. This is one of those books that you must not miss upon if you have just started.
  • Python Machine Learning.
  • Machine Learning For Absolute Beginners.
  • What are the best programs for machine learning?

    Scikit-learn. Scikit-learn is for machine learning development in python.

  • PyTorch. PyTorch is a Torch based,Python machine learning library.
  • TensorFlow. TensorFlow provides a JavaScript library which helps in machine learning.
  • Weka. These machine learning algorithms help in data mining.
  • KNIME.
  • Colab.
  • Apache Mahout.
  • Accord.Net.
  • Shogun.
  • Keras.io.
  • READ ALSO:   Can foreigner buy Shanghai stocks?

    What is the best way to learn machine learning?

    Prerequisites Build a foundation of statistics,programming,and a bit of math.

  • Sponge Mode Immerse yourself in the essential theory behind ML.
  • Targeted Practice Use ML packages to practice the 9 essential topics.
  • Machine Learning Projects Dive deeper into interesting domains with larger projects. Machine learning can appear intimidating without a gentle introduction to its prerequisites.
  • What are the best machine learning libraries?

    Pandas. Pandas is an open-source python library that provides flexible,high performance and easy to use data structures like series,data frames.

  • NumPy. NumPy is the most fundamental data handling library which is popularly used for scientific computing with python.
  • Matplotlib.
  • Sci-kit learn.
  • Seaborn.
  • Tensorflow.
  • Theano.
  • Keras.
  • PyTorch.
  • OpenCV.