http://www.topzenith.com/2017/12/top-10-best-machine-learning-video-tutorials.html Machine Learning is a multi-disciplinary field that covers many subjects such as mathematics and programming languages. With the help of Machine learning, we can draw the meaningful inferences from previous experiences. Machine Learning can be used any various fields such as finance, data analysis, robotics, Marketing, Healthcare and sales, Transportation etc,. Many companies such as Facebook, Google, Amazon, Microsoft, Intel, Wix, Quora, etc,. have already indulged the machine learning algorithms to improve the quality of services. Facebook uses Face detection, Friend suggestions algorithms etc,. Google uses machine learning algorithms for video recommendations(YouTube), online advertising(AdSense, Real-time Bidding), Search engines. Quora uses machine learning for showing personalized feed based on their user's interest.

1. Top 10 best
Machine Learning
video tutorials

2. Introduction
Machine Learning is a multi-disciplinary field that covers many subjects such as
mathematics and programming languages. With the help of Machine learning, we
can draw the meaningful inferences from previous experiences. Machine Learning
can be used any various fields such as finance, data analysis, robotics, Marketing,
Healthcare and sales, Transportation etc,.

3. Introduction 2
Many companies such as Facebook, Google, Amazon, Microsoft, Intel, Wix, Quora,
etc,. have already indulged the machine learning algorithms to improve the quality
of services. Facebook uses Face detection, Friend suggestions algorithms etc,.
Google uses machine learning algorithms for video recommendations(YouTube),
online advertising(AdSense, Real-time Bidding), Search engines. Quora uses
machine learning for showing personalised feed based on their user's interest.
Read: Top 10 applications of Machine Learning

4. The demand for the Machine learning has increased over the past few years and
companies are looking for the employees who have skills in Machine Learning and
Data Science. There are many resources to learn Machine learning but the below
resources helps to master Machine Learning.
Read: Top 10 Data Science video tutorials

5. To learn machine learning, you need to have prior knowledge of mathematical
concepts such as Calculus, Linear, Algebra, Probability, Statistics, And also you need
knowledge of any programming language Python, R, or Matlab.
Read: Top 10 Best Python video tutorials
Read: Top 10 Best R Programming video tutorials

6. Machine Learning
This is a popular video tutorial over the internet which gives the best introduction to
machine learning octave/Matlab handling by Andrew Ng who is the co-founder of
Coursera. This tutorial is well presented and the instructor provides lots of practical
suggestions on how to analyze and improve existing machine learning algorithms.
The instructor walks you through the supervised learning such as parametric/non-
parametric algorithms, support vector machines, kernels, neural networks and
unsupervised learning such as clustering, dimensionality reduction, recommender
systems, deep learning.I highly recommend this course for those who want to get
started with machine learning for both technical and non-technical background as
well.

7. Machine Learning A-Z™: Hands-On Python & R In Data Science
This is another popular video tutorial over the web and it gives a comprehensive
overview of the machine learning. This is very good tutorial to get started with
machine learning which provides step by step insight into Machine Learning. This
course is divided into 10 sections and the instructor begins with explaining
applications of the Machine learning and shows how to setup the environment for
Python and R language. Each section covers such as Association Rule Learning,
Reinforcement Learning, Natural Language Processing, Deep Learning,
Dimensionality Reduction, Model Selection & Boosting. All these concepts help to
master in machine learning. This course is best suitable for aspirants who want to
build a career in Data Science and enhance their skills in Machine Learning.

8. Data Science, Deep Learning, & Machine Learning with Python
This tutorial gives you a comprehensive overview of the machine learning, data
Science, and deep learning. In the tutorial, the instructor gives a basic introduction
of Python programming, Statistics, and probability and then covers topics of data
mining, Artificial intelligence, machine learning such as Bayesian theorem,
regression analysis, K-means Clustering, principle component analysis, decision and
much more,. The instructor also shows how to create the Artificial Neural Networks
with Tensorflow and Keras. Here, you will not only the learn theory but you will also
learn how to create the recommender system, spam classifier, search engine,
Handwriting recognization, sentimental analysis practically. The instructor keeps
motivating and explains the concepts without any complexity. This video tutorial is
best suitable for the beginners.

9. Machine Learning Recipes with Josh
GordonThis tutorial is presented by Google Developers and Josh, the instructor of this
tutorial walks you through concepts of the Machine learning with the help of the
popular libraries called Tenserflow and Scikit-Learn. He explains how to install
Anaconda and use of classifiers under supervised learning. He also explains the
decision trees, k-Nearest Neighbors etc,. I would recommend this without a miss.
This video tutorial is completely for the beginners and who already have knowledge
of Python programming.

10. Python for Data Science and Machine Learning Bootcamp
This video tutorial is designed for both beginners and data scientists. I would say this
video tutorial will be helpful to the job seekers and data scientists who want to build
their career in machine learning. In this video tutorial, you will learn the use of
Python for machine learning and Data science. You will able to learn how to
implement the machine learning algorithms.

11. Machine Learning with Python
This tutorial is presented by Sentex that is popular Youtube channel for learning
Python-based programming. Here you can also find tutorials on Python
programming for web development, Machine learning, finance, data analysis,
robotics, web development, game development and more. In this video tutorial, the
instructor walks you through the Machine learning concepts such as Regression,
classification, support vector machines, clustering, deep learning and tenser flow
neural networks, convolutional neural network etc,. This tutorial is best suitable for
the beginners and intermediate.

12. [Coursera] Neural Networks for Machine Learning — Geoffrey Hinton 2016
This tutorial mainly focuses on explaining how Neural Networks are used for
Machine learning in speech, object recognization and image segmentation, modeling
language, human motion etc,. Geoffrey walks you through the machine learning
algorithms and how these algorithms help us in achieving the speech, object
recognization and image segmentation, human motion.

13. Machine learning in Python with scikit-learn
This tutorial primarily focuses on explaining how to use Scikit-learn library for
Machine Learning. Here the instructor begins with a quick introduction of machine
learning and how it is used, then he walks you through how to set up an environment
for working with Scikit-learn library, the instructor shows how to install Anaconda
and configures the IPython interpreter. He also concepts such as training the
models, comparing the models, pandas, Seaborn, selecting the best models, how to
evaluate the classifier etc,. It is worth to go through this tutorial. This tutorial is best
suitable for the intermediates.

14. Machine Learning: IIT Lectures/Tutorial/Course for Beginners
This tutorial is presented by IIT university and they have published around 85 videos
that help to understand basic concepts of machine learning. The instructor also
explains the different machine learning paradigms and they also cover some of the
most popular machine learning paradigms and architecture. In this tutorial, you will
learn about the Linear Regression and Feature Selection, Linear Classification,
Support Vector Machines and Artificial Neural Networks, Bayesian Learning and
Decision Trees, Evaluation Measures, Hypothesis Testing, Ensemble Methods,
Clustering, Graphical Models, Learning Theory and Expectation Maximization,
Introduction to Reinforcement Learning etc,. I would recommend taking advantage
of this tutorial.

15. Machine Learning Course - CS 156
This video tutorial is a best introductory course on machine learning by Yaser Abu-
Mostafa and the instructor walks you basic theory, machine learning algorithms and
it's applications. This video tutorial balances both theory and practice and also
covers the mathematical as well as the heuristic aspects. I recommend going
through with 1.25x to speed up your learning. If you are complete beginner then I
would suggest going through this tutorial without a miss.

16. It is also worth to watch these tutorials as well Intel Nervana AI Academy and
Machine_Learning
From every video tutorial, you will learn something new, so I believe that the more
you explore, the more you learn
Happy Learning :)