MACHINE LEARNING FROM BASICS

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MACHINE LEARNING FROM BASICS
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What is Machine Learning?
UNDERSTANDING MACHINE LEARNING Machine Learning
is the scientific practice of teaching computers
to mimic human intelligence and actions. These
computers also have to improve their learning in
an autonomous manner. It is done by learning from
observations and real-world interactions. Sets of
data are studied by the machines to derive
meaningful conclusions.
IMPORTANCE OF MACHINE LEARNING Machine Learning
is the core component of AI. All the models are
exposed to new data. Thus, it is possible to
adapt independently. Machines are able to learn
from previous computations to generate reliable
and repeatable decisions and results.

• It is expected that the machine learning market
  will grow from to 9 billion USD by 2022
• 55 of companies have not deployed a machine
  learning model
• 97 of mobile users are using AI-powered voice
  assistants

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Benefits of Machine Learning Technology

• No need to rely on predetermined equations
• Helps in avoiding spam and filters spam
• Online chatbot support with intelligence
• Fraud detection facilities
• Speech recognition abilities
• Recommendation engine based on browsing history
• It eliminates the need for manual data entry
• ML can learn to quickly and effectively detect
  threats

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Artificial Learning

• Artificial Intelligence is an umbrella term that
  consists of everything related to developing
  smarter machines and human-like capabilities.

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Machine Learning

• Machine Learning is commonly used as a subset of
  AI. ML can self-learn based on an algorithm of
  Artificial Intelligence.

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Deep Learning

• Deep Learning is a form of ML and AI that mimics
  the way humans learns new concepts. It is an
  important aspect of data science.

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Types of Machine Learning
Supervised Learning
Unsupervised Learning
Reinforced Learning
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Supervised Learning

• This type of learning is used for elaborating a
  class of problem that involves a model to
  understand a mapping among input examples and the
  target variable.
• Models are fit on training data consisted of
  contributions and outputs and used to make
  forecasts on test sets where only the
  contributions are provided, and the outputs from
  the model are associated with the withheld goal
  variables and used to estimate the skill of the
  model.

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Unsupervised Learning

• This form of learning explains a class of issues
  that involves using models for explaining or
  extracting relations in data.
• Unsupervised learning works only with input data
  without outputs, unlike supervised learning. It
  does not have a teacher to fix the model, unlike
  supervised learning.

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Reinforcement Learning

• This form of learning explains a class of issues
  where an agent executes in an environment and
  must adhere to operate utilising feedback.
• The agent becomes capable of achieving a goal in
  an uncertain and complex environment.
• There is no answer in reinforcement learning, but
  the agent has to decide what to do to complete
  the given task.

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Whats required to create good machine learning
systems?
Data Preparation Capabilities
Java
Components
Ensemble Modeling
Algorithms
Scalability
Automation
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Learn Machine Learning

• Jobs in AI and Machine Learning are recognised as
  the hottest jobs of the century!

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Skills to Become Machine Learning Professional

• Statistics and probability
• Data evaluation and modelling
• Machine learning algorithms
• Programming languages
• Signal processing techniques

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Machine Learning Certificate Courses at LSET
Become a certified machine learning professional
with a practical learning environment at LSET
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What Youll Learn in LSETs Machine Learning
Certification Course?

• The fundamental concepts of machine learning and
  learn how it is changing the digital world
• Machine learning topics like working with
  algorithms, real-time data, regression,
  classification, etc
• Explore the most widely used techniques in
  machine learning.
• Algorithms, complex theory, and coding libraries

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Enrol to LSET Machine Learning Certificate
Course Learn the fundamentals of Machine Learning
with project-based learning and practical
environment.
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Enrol to LSETs Machine Learning Certification
Course
Updated Curriculum with the Latest Technologies
Project-Based Learning
Flexible Timings
Individual Attention
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THANK YOU!
Contact US
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