Machine Learning

1
Machine Learning
2
What is Machine Learning??

• Machine learning is an application of
  artificial intelligence (AI) that provides
  systems the ability to automatically learn and
  improve from experience without being explicitly
  programmed. Machine learning focuses on the
  development of computer programs that can access
  data and use it learn for themselves. It is seen
  as a subset of artificial intelligence. Machine
  learning algorithms build a mathematical
  model based on sample data, known as "training
  data", in order to make predictions or decisions
  without being explicitly programmed to do
  so. Machine learning algorithms are used in a
  wide variety of applications, such as email
  filtering and computer vision, where it is
  difficult or infeasible to develop conventional
  algorithms to perform the needed tasks.

3
Importance of Machine Learning

• Data is very important for all the businesses.
  Data-driven decisions increasingly make the
  difference between keeping up with competition or
  falling further behind. Machine learning can be
  the key to unlock the value of corporate and
  customer data and enacting decisions that keep a
  company ahead of the competition. The machine
  learning field is continuously evolving. And
  along with evolution comes a rise in demand and
  importance.

4
Types of Machine Learning

• Supervised ML- Past data is used to make
  predictions in supervised machine learning.
• Unsupervised ML- Unsupervised machine learning
  finds hidden patterns.
• Reinforcement ML- Reinforcement machine learning
  is used for improving or increasing efficiency.

5
Popular Machine Learning Tools

• Knime
• Accord.net
• Scikit-Learn
• TensorFlow
• Weka
• Pytorch
• RapidMiner,
• Google Cloud AutoML
• Jupyter Notebook
• Apache Mahout etc.

6
Popular Machine Learning Software

• Python a popular language with high-quality
  machine learning and data analysis libraries
• C a middle-level language used for parallel
  computing on CUDA
• R a language for statistical computing and
  graphics

7
Applications of Machine Learning

• Manufacturing- Predictive maintenance and
  condition monitoring
• Retail- Upselling and cross-channel marketing
• Healthcare and life sciences- Disease
  identification and risk satisfaction
• Travel and hospitality- Dynamic pricing
• Financial services- Risk analytics and regulation
• Energy- Energy demand and supply optimization 

8
About Henry Harvin

• Henry Harvin is a leading career and competency
  development organization with focus on value
  creation. We are into the business of training,
  skill development, assessment centres, content
  services and higher education. Our dream is to
  establish 'Henry Harvin' in line with the vision
  of Mr.Henry Dunster 400 years ago which now
  resonates in the form of a prestigious
  educational institution respected worldwide.

9

• If you are interested to know more about Machine
  Learning, join the Certified Machine Learning
  Practitioner Course by Henry Harvin.