eBooks machine learning

Su T.P. Machine Learning

Machine Learning Tutorial

Computers
English
6037 Words
Ages 12 and up
9
0

Today’s Artificial Intelligence (AI) has far surpassed the hype of blockchain and quantum computing. The developers now take advantage of this in creating new Machine Learning models and to re-train the existing models for better performance and results. This tutorial will give an introduction to machine learning and its implementation in Artificial Intelligence. This tutorial has been prepared for professionals aspiring to learn the complete picture of machine learning and artificial intelligence. This tutorial caters the learning needs of both the novice learners and experts, to help them understand the concepts and implementation of artificial intelligence. The learners of this tutorial are expected to know the basics of Python programming. Besides, they need to have a solid understanding of computer programing and fundamentals. If you are new to this arena, we suggest you pick up tutorials based on these concepts first, before you embark on with Machine Learning. [more]

Keywords: Machine Learning

$2.99

Su T.P. Machine Learning with Python

Machine Learning with Python Tutorial

Computers
English
24237 Words
Ages 14 and up
9
0

Machine Learning with Python Machine Learning with Python Tutorial Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. The key focus of ML is to allow computer systems to learn from experience without being explicitly programmed or human intervention. This tutorial will be useful for graduates, postgraduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner. This tutorial has been prepared for the students as well as professionals to ramp up quickly. This tutorial is a stepping stone to your Machine Learning journey. The reader must have basic knowledge of artificial intelligence. He/she should also be aware of Python, NumPy, Scikit-learn, Scipy, Matplotlib. If you are new to any of these concepts, we recommend you to take up tutorials concerning these topics, before you dig further into this tutorial. [more]

Keywords: Machine Learning with Python Tutorial, ML, Machine learning, Python

$10.99

Mulayam Singh MACHINE LEARNING

Artificial Intelligence learning overview

Education
English
8686 Words
No Age Recommendation
42
0

The Evolution of Data Science and the Information Age.Data science is a large vast time period that encompasses a variety of disciplines and standards which includes big data, Artificial Intelligence (AI), data mining and machine learning. The self-discipline of analyzing giant volumes of data recognized as ‘data science’, is relatively new and has grown hand-in-hand with the improvement and widespread adoption of computers. Prior to computers, records used to be calculated and processed by hand underneath the umbrella of ‘statistics’ or what we would possibly now refer to as ‘classical statistics’. Baseball batting averages, for example, existed properly earlier than the creation of computers. Anyone with a pencil, notepad and primary arithmetic abilities could calculate Babe Ruth’s batting common over a season with the useful resource of classical statistics. The method of calculating a batting common concerned the dedication of time to accumulate and assessment batting sheets, and the software of addition and division. The key factor to make about classical data is that you don’t strictly need a laptop to work the statistics and draw new insight. As you’re working with small facts units it is feasible to even for pre-university college students to conduct statistics. Indeed data is nevertheless taught in colleges today, and as they have been for centuries. In this book you will learn all about machine learning and data mining. Hope you will love this book. [more]

Keywords: Artificial Intelligence., Machine Learning, Deep Learning, Neural Networks, Data Mining, Data Labeling, Reinforcement Learning, Bayesian Probability, Support Vector Machines, Data accumulation, Interpretation, machine learning course, Computer vision, Supervised learning, Neural network, Reinforcement learning

$2.99

Su T.P. PyBrain

Machine Learning: Pybrain

Computers
English
9622 Words
Ages 14 and up
2
0

Machine Learning: Pybrain Pybrain is an open-source library for Machine learning implemented using python. The library offers you some easy to use training algorithms for networks, datasets, trainers to train and test the network. This tutorial is designed for software programmers who want to learn the basics of Pybrain and its programming concepts in a simple and easy manner. This tutorial will give enough understanding on the various functionalities of Pybrain with suitable examples. Before proceeding with this tutorial, you should have a basic understanding of Python and Machine Learning. [more]

Keywords: Machine Learning: Pybrain, Pybrain, Machine Learning:

$5.99

Su T.P. Time Series

Time Series Tutorial

Computers
English
6606 Words
Ages 14 and up
5
0

Time Series Time Series Tutorial A time series is a sequence of observations over a certain period. The simplest example of a time series that all of us come across on a day to day basis is the change in temperature throughout the day or week or month or year. The analysis of temporal data is capable of giving us useful insights on how a variable changes over time. This tutorial will teach you how to analyze and forecast time series data with the help of various statistical and machine learning models in elaborate and easy to understand way! This tutorial is for the inquisitive minds who are looking to understand time series and time series forecasting models from scratch. At the end of this tutorial you will have a good understanding on time series modelling. This tutorial only assumes a preliminary understanding of Python language. Although this tutorial is self-contained, it will be useful if you have understanding of statistical mathematics. If you are new to either Python or Statistics, we suggest you to pick up a tutorial based on these subjects first before you embark on your journey with Time Series. [more]

Keywords: Time Series, Machine learning

$3.99

Utpal shrivastava Predictive model for skin disease in animals

Education
English
9350 Words
Ages 14 and up
22
0

There exists various experts system for skin disease diagnosis by using image processing. These models were implemented only for humans and plants skin disease detection. No model has been implemented for disease diagnosis among the animals. Different image segmentation algorithms are in place, which vary for different types of images like disease affected image, medical image etc. There are many classification techniques, algorithms and classifiers are available to distinguish the data into various classes. Each algorithm has their own benefits and drawbacks. Here the proposed system has been implemented by using image processing for skin disease detection in animals. In this approach, two common disease i.e. Alopecia, Ringworm has been taken. This proposed system used k-means clustering algorithm for image segmentation and SVM classifier to do classification of data in two different classes. Experiments are performed on available data to measure the accuracy and effectiveness of system. The proposed system also measures the execution time for each and every image of disease. This is investigated that which features have large impact on the developed methodology. Experimental results show the effectiveness of this model. [more]

Keywords: Skin disease, Machine learning, Predictive model

$1.99

Su T.P. Logistic Regression in Python

Logistic Regression in Python Tutorial

Computers
English
4078 Words
Ages 14 and up
8
0

Logistic Regression in Python Logistic Regression in Python Tutorial Logistic Regression is a statistical method of classification of objects. In this tutorial, we will focus on solving binary classification problem using logistic regression technique. This tutorial also presents a case study that will let you learn how to code and apply Logistic Regression in Python. This tutorial has been prepared for students as well as professionals to gain a knowledge on performing Logistic Regression in Python. This tutorial is written with an assumption that the learner is familiar with Python and its libraries, such as Pandas, Numpy, and Matplotlib. If you are new to Python or these libraries, we suggest you pick a tutorial based on them before you start your journey with Logistic Regression. [more]

Keywords: Logistic Regression in Python, Machine learning, Python programming

$2.99

Su T.P. Learning TensorFlow

A Guide to Building Deep Learning Systems

Computers
English
10420 Words
Ages 14 and up
14
0

Learning TensorFlow A Guide to Building Deep Learning Systems * TensorFlow Tutorial TensorFlow is an open source machine learning framework for all developers. It is used for implementing machine learning and deep learning applications. To develop and research on fascinating ideas on artificial intelligence, Google team created TensorFlow. TensorFlow is designed in Python programming language, hence it is considered an easy to understand framework. This tutorial has been prepared for python developers who focus on research and development with various machine learning and deep learning algorithms. The aim of this tutorial is to describe all TensorFlow objects and methods. Before proceeding with this tutorial, you need to have a basic knowledge of any Python programming language. Knowledge of artificial intelligence concepts will be a plus point. [more]

Keywords: TensorFlow

$6.99

Su T.P. Python Deep Learning

Python Deep Learning Tutorial

Computers
English
9978 Words
Ages 14 and up
16
0

Python Deep Learning Python Deep Learning Tutorial (Step-by-Step Tutorial For Beginners) Python is a general-purpose high level programming language that is widely used in data science and for producing deep learning algorithms. This brief tutorial introduces Python and its libraries like Numpy, Scipy, Pandas, Matplotlib; frameworks like Theano, TensorFlow, Keras. The tutorial explains how the different libraries and frameworks can be applied to solve complex real world problems. This tutorial has been prepared for professionals aspiring to learn the basics of Python and develop applications involving deep learning techniques such as convolutional neural nets, recurrent nets, back propagation, etc. Before you proceed with this tutorial, we assume that you have prior exposure to Python, Numpy, Pandas, Scipy, Matplotib, Windows, any Linux distribution, prior basic knowledge of Linear Algebra, Calculus, Statistics and basic machine learning techniques. [more]

Keywords: Python Deep Learning, Deep learning

$4.99

Utpal Shrivastava, Dr. Vikas Thada Recommendation System using Python

Computers
English
4765 Words
Ages 14 and up
12
0

In the very recent years, development of recommendation system has been a more heated problem due to a [more]

$0.99

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eBooks „machine learning“

Books (97)

eBooks „machine learning“

Books (97)

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