This is a presentation about my internship at Eckovation.
The title of the internship was to Build a Neural Network from scratch and train it to read handwriting using MNIST dataset
This presentation is here to help you understand about Machine Learning, supervised Learning, Process Flow chat of Supervised Learning and 2 steps of supervised Learning.
This presentation is here to help you understand about Machine Learning, supervised Learning, Process Flow chat of Supervised Learning and 2 steps of supervised Learning.
A simple report on implementation of an Optical Character Recognition (ORC) as a Handwritten Digit Recognition Machine. It is basically tested on a single neural network using 3 methods: K-Nearest Neighbor (KNN), Support Vector Machine (SVM) and Random Forest Classifier (RFC) Algorithm.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention
Supervised Machine Learning With Types And TechniquesSlideTeam
Supervised Machine Learning with Types and Techniques is for the mid level managers giving information about what is supervised machine learning, its types, how supervised machine learning, its advantages. You can also know the difference between Supervised and Unsupervised Machine learning to understand supervised machine learning in a better way for business growth. https://bit.ly/3ewivHm
The world today is evolving and so are the needs and requirements of people. Furthermore, we are witnessing a fourth industrial revolution of data.
Machine Learning has revolutionized industries like medicine, healthcare, manufacturing, banking, and several other industries. Therefore, Machine Learning has become an essential part of modern industry.
The Presentation answers various questions such as what is machine learning, how machine learning works, the difference between artificial intelligence, machine learning, deep learning, types of machine learning, and its applications.
Fashion is what is being offered and worn by most at any particular moment in time. It is a fad, a trend that does not last for long. When you are following fashion you are basically in a comparison mode, wanting to look and be seen like everyone else. ... Fashion is over quickly, whereas style is forever.
I am a master's student in the field of electrical and computer engineering and I am currently looking for a full-time job, where I can put my skills into good use. Please find more details about me in the Resume and I am looking forward to speaking with you! Thanks for your interest!
In the past few years, India has witnessed exponential growth in the sector of Data Science. With the advent of digital transformation in businesses, the demand for data scientists is boosting every day with a ton of job opportunities machine learning course in mumbai’machine learning course in mumbais lying in their path. Boston Institute of Analytics provides data science courses in Mumbai. They train students under experienced industry professionals and make them industry ready. To know more about their courses check out their website https://www.biaclassroom.com/courses.
A simple report on implementation of an Optical Character Recognition (ORC) as a Handwritten Digit Recognition Machine. It is basically tested on a single neural network using 3 methods: K-Nearest Neighbor (KNN), Support Vector Machine (SVM) and Random Forest Classifier (RFC) Algorithm.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention
Supervised Machine Learning With Types And TechniquesSlideTeam
Supervised Machine Learning with Types and Techniques is for the mid level managers giving information about what is supervised machine learning, its types, how supervised machine learning, its advantages. You can also know the difference between Supervised and Unsupervised Machine learning to understand supervised machine learning in a better way for business growth. https://bit.ly/3ewivHm
The world today is evolving and so are the needs and requirements of people. Furthermore, we are witnessing a fourth industrial revolution of data.
Machine Learning has revolutionized industries like medicine, healthcare, manufacturing, banking, and several other industries. Therefore, Machine Learning has become an essential part of modern industry.
The Presentation answers various questions such as what is machine learning, how machine learning works, the difference between artificial intelligence, machine learning, deep learning, types of machine learning, and its applications.
Fashion is what is being offered and worn by most at any particular moment in time. It is a fad, a trend that does not last for long. When you are following fashion you are basically in a comparison mode, wanting to look and be seen like everyone else. ... Fashion is over quickly, whereas style is forever.
I am a master's student in the field of electrical and computer engineering and I am currently looking for a full-time job, where I can put my skills into good use. Please find more details about me in the Resume and I am looking forward to speaking with you! Thanks for your interest!
In the past few years, India has witnessed exponential growth in the sector of Data Science. With the advent of digital transformation in businesses, the demand for data scientists is boosting every day with a ton of job opportunities machine learning course in mumbai’machine learning course in mumbais lying in their path. Boston Institute of Analytics provides data science courses in Mumbai. They train students under experienced industry professionals and make them industry ready. To know more about their courses check out their website https://www.biaclassroom.com/courses.
This presentation is based on new trends and technology in computer science. In this presentation, we have depicted the basic principles of artificial intelligence. An attempt has been made to explain advanced technologies like machine learning and deep learning.
Machine Learning techniques used in Artificial Intelligence- Supervised, Unsupervised, Reinforcement Learning. It discusses about Linear Regression, Logistic Regression, SVM, Random forest, KNN, K-Means Clustering and Apriori Algorithm. It also Illustrates the applications of AI in various fields.
Seminar Presentation | Network Intrusion Detection using Supervised Machine L...Jowin John Chemban
By:
Jowin John Chemban (jowinchemban@gmail.com)
HGW16CS022 (2016-2020 Batch)
S7 B.Tech Computer Science Engineering
Holy Grace Academy of Engineering, Mala
Date : September 2019
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
ECKOVATION_MACHINE LEARNING
1. Teach a Neural Network
to read Handwriting
SUBMITTED TO ECKOVATION UNDER MACHINE LEARNING INTERNSHIP BY
SPRIHA SRIVASTAVA
2. What is Machine Learning?
• Machine learning (ML) is a category of algorithms that allows software applications
to become more accurate in predicting outcomes without being explicitly
programmed.
• Machine learning is a subset of artificial intelligence in the field of computer science
that often uses statistical techniques to give computers the ability to "learn"
• Machine learning algorithms are often categorized as supervised or unsupervised
3. Artificial Neural Network
• An artificial neural network is an interconnected group of nodes, akin to the vast
network of neurons in a human brain
• Neural Networks as a mathematical function that maps a given input to a desired
output. Neural Networks consist of the following components:
1. An input layer, x
2. An arbitrary amount of hidden layers
3. An output layer, ŷ
4. A set of weights and biases between each layer, W
and b
5.A choice of activation function for each hidden layer, σ.
4. MNIST Dataset
• The MNIST database, is a large database of handwritten digits that is commonly
used for training various image processing systems
• The MNIST dataset, is a database of 70,000 handwritten digits, divided into 60,000
training examples and 10,000 testing samples
5. Classifier Used
• Classifier used – Support Vector Machine (SVM)
• An SVM is basically a binary classifier and multiple SVMs can be used to form a
classification system. We generally call an SVM classification system as SV classifier
(SVC).
• An SVM model is a representation of the examples as points in space, mapped so
that the examples of the separate categories are divided by a clear gap that is as
wide as possible.
• In short, an SVM separates classes or performs classification, hence it uses
Supervised Learning.
6. How The Project Works?
For classification, the SVM algorithm works as follows:
• Load the MNIST data.
• Divide and label the data as Training and Testing Image and labels.
• Use cross validation to divide the training data into training and testing data to
train the classifier.
• Train the SVM Classifier. Provide training data and labels as input to train the
classifier. SVM uses the existing labelled data to learn and then classifies the
unlabelled data based on that learning.
• The digit recognized using SVM is then matched with the provided Training Labels
to get the score/accuracy of the trained classifier.
• The Test Image data is used to predict the labels of digits and is compared with the
provided test labels to see for the accuracy of the algorithm.
• The Confusion Matrix is printed that provides the percentage of accuracy with
which each digit has been recognized.