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.

1. MACHINE LEARNING
FROM BASICS

2. 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
www.lset.uk

3. 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
www.lset.uk

4. Artificial Learning
Artificial Intelligence is
an umbrella term that
consists of everything
related to developing
smarter machines and
human-like capabilities.
www.lset.uk

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

6. 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.
www.lset.uk

7. Types of Machine Learning
Supervised Learning
Unsupervised Learning
Reinforced Learning

8. 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.
www.lset.uk

9. 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.
www.lset.uk

10. 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.
www.lset.uk

11. What’s required to
create good machine
learning systems?
www.lset.uk
Data
Preparation
Capabilities
Algorithms
Java
Ensemble
Modeling
Automation
Scalability
Components

12. Learn Machine Learning
Jobs in AI and Machine Learning
are recognised as the hottest
jobs of the century!
www.lset.uk

13. Skills to Become Machine
Learning Professional
 Statistics and probability
 Data evaluation and modelling
 Machine learning algorithms
 Programming languages
 Signal processing techniques
www.lset.uk

14. www.lset.uk
Machine Learning
Certificate Courses at LSET
Become a certified machine
learning professional with a
practical learning environment
at LSET

15. www.lset.uk
 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
What You’ll Learn in LSET’s Machine
Learning Certification Course?

16. www.lset.uk
Place your screenshot here
Enrol to LSET
Machine Learning
Certificate Course
Learn the fundamentals of
Machine Learning with project-
based learning and practical
environment.

17. Enrol to LSET’s Machine
Learning Certification Course
Project-Based
Learning
Flexible
Timings
Updated Curriculum
with the Latest
Technologies
Individual
Attention
www.lset.uk

18. THANK YOU!
41 Lothbury
London
EC2R 7HF, UK
Phone: +44 (0) 20 3369 9909
Email: admission@lset.uk
UKPRN: 10086956
ICO Registration Number: ZA785537
www.lset.uk
Contact US