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Machine Learning Assignment Support

Essential Tools for Machine Learning

Anaconda

To install the packages related to data science and machine learning, Anaconda tool is very useful. Anaconda is a free and open source distribution for Python. It comes with installation packages and installation tools. It has set of standard Python libraries as well as numerous third party libraries like numpy, scipy, matplolib, IPython, pandas, scikit-learn, etc.

At Assignment Solution Guru, we use Anaconda to build machine learning assignment solution and we also ask the students to use it as it solves all the installation (building/compiling) issues which you face with numpy, scipy and other libraries.

Essential Libraries for Machine Learning

NumPy

NumPy is the most fundamental package for science and statistical computing in Python. It is fundamental data structure that works for multidimensional array, linear algebra functions, random generators etc.

SciPy

SciPy is free and open source library for Python which is used for scientific computing and technical computing. It can be used for linear algebra, integration, interpolation, signal and image processing.

Matplotlib

Matplotlib is the 2D plotting library in Python. To generate plots, histograms, bar charts and scatterplots, Matplotlib is used.

Pandas

Pandas is the Python library for data analysis. It is the tool for reading and writing data. It has fast and efficient object design called DataFrame, high performance on merging and joining the data sets and time series functionality.

Scikit-learn is an open source project. It contains number of machine learning algorithm. It is the most popular tool and prominent Python library for machine learning.

Many students ask us for machine learning assignment help which requires use of different libraries, like seaboarn, nltk, etc. We happily use those libraries as per their need and provide the best machine learning assignment solution.

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Help for Machine Learning Assignments

By allowing the production of natural-language programs that ran as expertly as hand-coded ones, in late 1950s FORTRAN developed as the programming language. It was modernized many of the times in the 1950s and 1960s in training to stay diffident with more extant Machine Learning programming assignments.

Features Of FORTRAN Language:.

• Free source type.

• Modules.

• User-defined (derived) data types and operators.

• Array operations and features.

• Generic user-defined procedures.

• Guidelines.

• Recursion.

• Interface blocks.

• Extensibility and redundancy.

These both languages are commonly just languages. It's perhaps easier to discover decent Python knowledge resources than excellent FORTRAN discovering resources since Python is used more broadly, and FORTRAN is presently determined a "specialty" language for mathematical computing. Now you can buy assignment aid at amazing sale discount rates and 100% Refund Guarantee.

In c/c++ programs you generally create.c files containing source code, and.h files containing the user interface to your code so that other source files can expect what remains in the source, which is then compiled completely into libraries, object files, etc. In Fortran programs (90+), you can put code into separate modules, and instead of clearly composing a header/interface declare each one, the compiler will create user interfaces for them and put them into different binaries (. mod files) in addition to the put together item files. Producing libraries, object files, etc then requires you compile/link them together.

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Machine Learning Homework Assignments

Pascal:.

It is an old help with Machine Learning project programming language that makes that data structure and structural programming data structures to inspire noble software design carries out. Pascal was first produced in 1970 by the individual Niklaus Wirth.

Pascal became very successful in the 1970s. Pascal language is simply to tidy. It generates efficient, trusted and transparent programs. One of the preliminary achievements for language was the intro of UCSD Pascal, a language that work on brand-new operating system that could be executable to different platforms.

Pascal is a very old programming language, it and its platforms are Delphi and Things Pascal are quiet typically utilized nowadays. The programs of Pascal composed, generally, in Pascal and its simple concerns consist of.

This language is a kept and trustworthy Machine Learning help online programming language, it is frequently help to teach programming techniques. In detail, Pascal is the very first programming language that numerous programmers discover. There are commercial variations of Pascal that are utilized, however in general mainly developers favor Java, C#, C, C++, and so on as compared to Pascal.

Item Pascal:

During the process on the Lisa, Larry Tesler began concurring the impression of adding things oriented libraries in this language. This run initially to Classical, introduced in 1983. Mac replaced the Lisa code, a recently upgraded version called a Things Pascal was produced. This existed on the Macintosh in 1985 as kind of the Mac application framework, and became Apple's main development language into the early 1990s

Pascal has grown in approval in the mentor and academic locations for these factors:

• Pascal language is merely to clean.

• It produces effective, dependable and transparent programs.

• Structured language.

• Pascal can be compiled any other computer system platforms.

Pascal Language Functions:

Following are the functions of the Pascal programming language--.

1-It is a toughly typed language.

2-It recommendations broad examining the mistake.

3-It recommendations lots of information mistakes, different records, books and files.

4-It handle much of online Machine Learning help programming structures.

5-Pascal language supported structured programming over functions and treatments.

6-It supports the language OOP.

Pascal Language Facts:.

Pascal language was first established by the Blaise Pascal, he is a French mathematician primarily in computer advancement. In 1970 Niklaus Wirth completed advancement of the original Pascal programming language.

It is dependent on the language Algol programming language. This language is extremely trustworthy for teaching the Machine Learning programming assignment help, it is extremely efficient and dependable and simply language for mentor.

ISO 7185 Pascal was first developed in 1983. It is the top-level language aid for developed in the Apple Lisa, and the year 1986 of Mac. In 1986, and In the year 1993 the very first Object Pascal launched by Apple Computer system, the Pascal language released an with the extension of Object oriented to Pascal.

These are the remarkable operations of Pascal programming language--.

Skype.

Overall commander.

TeX.

Macromedia Captivate.

Apple Lisa.

Numerous PC Games.

Embedded Systems.

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Programming Assignment Help

Whereas Perl is cross platform language which markup languages. Both languages are utilized in web advancement Perl was portable whereas C was not. Perl is fast and performs well while ruby looks decent. Ruby is prototype language and Perl is ideal for system administration.

Perl And The Web Language:

This language is used to be the best popular WPL due to its text operation abilities and fast executable cycle. It is normally called the duct-tape of the Web. It can manage converted Web database, together with e-commerce relations. It can be fixed into web programming servers to accelerate processing by as much as 2000%. This language DBI package generate web-database integration merely

Perl is an Analyzed programming language:

This language is likewise referred to as a translated language, that implies that the program code can be perform as, this program is called non-portable running program while the program does not assemble.

 Whereas after carrying out a Perl program, initial step is to be it is put together into a byte code, then it is changed (as the program executing) into the maker guidelines. There for it is not relatively the same as shells, or Tcl, which are strictly interpreted without an intermediate representation.

It does not like upgraded versions of C or C++, which are executable straight into a machine language format. In between someplace, laterally these programming languages like Python, awk and Emacs etc.

Scala

Scala: Scala is mix of object oriented and practical paradigms and use the fixed key ins applications to avoid bugs. The source code of Scala is compile on java byte code so that its code run JVM Java Virtual Machine. It was motivated by the Lisp, Haskell etc.

Languages. Functions Of Scala:

Following were the features of Scala language which can differentiate it from other languages:

• Type reasoning (no requirement of data type).

• Singleton things (no fixed variable or method).

• Lazy computation (computation of Scala slouches by default).

• Greater order function (functions that takes or return function).

• Rich collection set (collection of library).

• Characteristics (user interface with partial application).

• Concurrency control (write code utilizing actor for concurrency).

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Do My Machine Learning Project Programming

The objective of programming languages are to manage several data types and provide a visual way of the procedure and its information. The Machine Learning programming language supply some basic statements which are beneficial for the representation of algorithm. There are different languages of programming coded, if someone is looking for programming he must know that developers are in high demand these days. Our wide range of services in university assignments covers every subject catering to students. On-time delivery with 24x7 live chat support.

Types Of Computers

Smartphone.

Supercomputer.

Microcontroller.

Mainframe.

Server Computer.

Personal Computer or PC.

Workstation Computer.

Advance Career Of Programming

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Programming is advanced now a days, if you desire to tell a computer system what to do, and you desire to follow the actions in sequential way than you can do that by sharing encoding and translating methods while composing the programming languages that helps the computers and a number of technological gadgets that what to be carried out. Programming is discover in every sort of devices even phone applications and video games are based on programming languages which is advanced now a days. Computer system programming are highly important because many of the business utilized do my Machine Learning assignment programming languages to move all the messages and objectives into actions types. bestassignmentsupport.com is providing students Assignment Help online service for University Students by 3500+ experts at low-cost rate. We offer expert development assignment aid service by experts and qualified writers for Australian university students.

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Our Machine Learning assignment help tutors can cater to all subjects and every topic whether simple or complex in any field of study.

Our Machine Learning assignment help experts are trained to keep their knowledge updated in terms of university standards, latest educational developments and syllabus of various colleges and universities across the globe. Our programming assignment experts is available round the clock to resolve your queries and help you place an order to get the awesome experience of premium assignment help services. Along with providing some of the best and most unique answers to your academic assignments our programming assignment help tutors help you to acquire skills of finding assignment solutions in a step-by step manner while getting a sound grasp of the concerned subject. This makes our services most preferred among students and helps us achieve the leadership position among competitors in the industry.

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WHAT IS MACHINE LEARNING?

Machine learning is a field of computer science where various statistical techniques are used to let the computer learn on its own through analysis of data without actual programming. It is the area of Artificial Intelligence where machine learning is often used and focus on development of computer applications accessing the data and using that data for learning without any human intervention. Here the process of learning starts through observation of the data and the aim is to let computer automatically start learning without the assistance of humans.

In case of machine learning it is the algorithms that are used for receiving the data as an input and statistical techniques are applied to anticipate the output while ensuring an update in output with the change in data. The process used in machine learning is similar to the process of data mining and predictive models as all these processes focus on searching the data for pattern and adjusting the actions of the program accordingly. The use of such models is to help business organizations to take effective decisions through details analysis of the huge amount of data. Machine learning is useful in several areas and fields like heath care, identification of fraud, financial services, customized recommendations and many more.

There are key areas in the process of machine learning, like:

Proper identification of appropriate data set and preparation for analysis

Selecting of the right machine learning algorithm to be applied

Developing an analytical model that is suitable according to the selected algorithm

Training of the model on the data sets prepared for testing

Running the model for getting the result

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Machine Learning Project Help

There are various preprocessing steps one could follow for better results some of these are written below:

1: Tokenization

Tokenization is the process of splitting a textual corpora in to a set of words or sentences known as tokens . A corpora when split into words are called word tokenization and when split into sentences is known as sentence tokenization. There are many libraries in python as well as in R which deal with tokenization for example keras, sklearn , textblob , preprocessor etc

2: Remove punctuation

Normally when we extract text from an online source say twitter , the data consists of a lot of punctuations since people tend to build emojis using different punctuation symbols. And also people sometimes use unnecessary punctuations everywhere for example some people use many fullstop symbols together to build a line. https://www.bestassignmentsupport.com/programming-homework-help/machine-learning-homework-help.php All these need to be removed from the data set as these are useless and make no sence. We can remove these punctuations simply by using Regex library.

3: Stemming

A stemming algorithm is a process of linguistic normalisation, in which the variant forms of a word are reduced to a common form, for example,

connection

connections

connective >>> connect

connected

connecting

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Machine Learning Assignment Solution

1 : Sentiment Analyser

Sentiment Analysis is relevant mining of content which recognizes emotional data in source material. In todays world a sentiment analyser is usally used over different social media sites. This is because there is plethora of data being posted everday and analysing this huge data has proven to be very useful in recent years. Deriving emotions behind this large textual data is called sentiment analysis. A sentiment analyser could help businesses to understand how their customers feel about their products and also their company as a whole. With the recent advances in deep learning, the ability of algorithms to analyse text has improved considerably. Creative use of advanced artificial intelligence techniques can be an effective tool for doing in-depth research. Sentiment Analysis is the most common text classification tool that analyses an incoming message and tells whether the underlying sentiment is positive, negative our neutral. How it work

There are 5 main steps involved in Building a basic sentiment analyser. These steps are :

1: Data Collection

2: Data Preprocessing

3: Feature Selection

4: Model Selection

5: Model Evaluation

Data Collection

This is the fundamental step of any machine learning model since data is the basic necessity for applying any ML algorithim. In our case of sentiment analysis data collection depends on the problem statement but mostly sentiment analysis is done on social media data such as twitter. Data from twitter could be extracted using the twitter api namely tweepy. https://www.bestassignmentsupport.com/programming-homework-help/machine-learning-homework-help.php . This extracted data is not only raw and totally unstructured but also incomplete as sentiment analysis is a classification problem and needs a target variable. There are different methods of providing these targets such we can annote the data manually or we can use some lexicon based algorithm to do annotation for us(manual annotation is preffered as lexicon based may not annote with perfection).

Data preprocessing

This one of the most important as well as most time consuming step in the whole process of building a sentiment analyser. The pre-processing of data implies the processing of raw data into a more convenient format which could be fed to a classifier in order to better the accuracy of the classifier. Here, in our case the raw data extracted from twitter using an API is initially totally unstructured and bogus as the availability of various useless characters seems very common in it. For this matter we need to remove all the unnecessary characters and words from this data using a module in python known as Regular Expressions, RE for short. This module adopts symbolic techniques to represent different noise in the data and therefore makes it easy to drop them. https://www.bestassignmentsupport.com/programming-homework-help/machine-learning-homework-help.php Specifically in twitter terminology there are various common useless phrases and spelling mistakes present in the data, which need to be removed to boost the accuracy of our resultant

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Best Machine Learning Helpers

Deep learning: This area of machine learning would use the data to carry out model complicated abstractions. It is part of machine learning and it is used to handle complicated machine learning task.

Pattern recognition: Pattern recognition is the process of recognizing patterns by using machine learning algorithm. Pattern recognition can be defined as the classification of data based on knowledge already gained or on statistical information extracted from patterns and/or their representation. One of the important aspects of the pattern recognition is its application potential..

Text analytics: This technique is used to handle different type of machine learning test analysis like, analyzing hand written task or other text analyzing.

Other important topics which can be handle by Data Scientist

There are many key points needs when we do the data science assignment help:

Regression Analysis: This most important part of machine learning projects. Regression analysis used to handle non discrete problems. Regression analysis divided into different categories which is as:

          1 - Linear Regression

          2 - Logistic regression

 Classification Problem: This technique is used to find result using discrete value - good -bad, like - unlike or we can say 0 or 1.

What Data Scientist Does?

​

Collect the information and put it in a usable format.

 Solve all kinds of business related issues with the help of data driven techniques.

 Work with different programming languages like SAS, R programming and Python.

 Have extensive knowledge of statistics, especially on statistical tests and distributions.

 Use different analytical techniques like machine learning, text analytics and deep learning.

 Communicate and easily collaborate with business and IT.

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Machine Learning Assignment Help

We have a team of statistics experts who can deliver superior quality assignments at affordable prices. Machine learning is a complicated subject which needs mastery on various topics including mathematics, statistics, programming, python etc. An expert should know how to gather, analyse, interpret and feed data to the machine. Designing a machine learning program is one of the toughest assignments for any programming student. Our statistics experts provide machine learning assignment help and homework help services to global students and ensure they get A+ grade.

The solutions offered by our Machine Learning project Help experts will be on step by step manner. If you are stressed and cannot take the pressure of researching, analyzing, and completing the assignment, you can take our experts help.

Machine Learning Assignment Help Topics

Supervised learning        Linear models for regression and classification

Overfitting and regularization    Naïve bayes and logistic regression

Vector machines             Unsupervised learning

Expectation-maximization          Mixture of Gaussians

Factor analysis  K-means

Deep learning    Neural networks for regression and classification

Unsupervised models    Autoencoders

Instance-based learning Decision tree induction

Maximum likelihood      Probabilistic inference

Artificial neural networks            Perceptron, back propagation

Clustering algorithms     Dimensionality reduction techniques

Kernel methods Kernel PCA

Kernel Ridge Regression Integral Probability Metrics

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Machine Learning Assignment Help | Machine Learning Homework Help

Machine Learning is an emerging technology where new discoveries are happening on a weekly basis. Many students pursuing programming courses across universities are searching have to work on assignments related to parametric algorithms, non-parametric algorithms, kernels, support vector machines, supervised learning, neural networks and many more. If you are a student who is intimidated by machine learning language, then you must seek machine learning assignment help from our programming experts.

For a student to understand and work on machine learning coursework, it is important that he understands the basics of python programming. Some of the programming students seek python assignment help before then go for machine learning course. This helps them to build the basics right. After taking help with python, they seek machine learning homework help on basic topics like Machine learning regression, linear classifiers & logistic regression, overfitting & regularization in logistic regression, clustering & retrieval, data clustering algorithms, k-means clustering, k-d tree, linear classifiers, decision tree etc. No matter how simple or complicated the topic is, our programming experts are the best to provide machine learning homework help

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What is Machine Learning?

Machine learning is a key application of artificial intelligence that allows the system to learn automatically and improve the user experience without having to programming explicitly each and every function. Few of the examples of artificial intelligence include face detection and finger print scanner. For a programmer to build a career in artificial intelligence, he/she should have a profound knowledge in mathematics, statistics, programming (especially python) and machine learning.

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Machine Learning Assignment Assistance

What is a neural network?

Instead of programming the system how to solve the problem, we want the system to be able to learn how to solve a problem for itself.  An (artificial) neural network is system-designed to do just this, based on our knowledge of the workings of the brain.  A brain is comprised of neurons, which are designed to transmit information to other structures in the body when they receive stimuli.  In a neural network, a neuron does exactly this.  The simplest way to understand this is a perceptron, which will take some input (or set of inputs) and emit an output of either 1 or 0 on the basis of those inputs.  For example, let’s say we wanted to configure a neuron that determines if it’s time for you to go to bed.  One input might be the time, and the other might be the day of the week.  If it’s not too late, regardless of the day of the week, the output of the neuron will be 0 (i.e. false) – you don’t need to go to bed at 4pm.  However, things become more complex at 11pm.  If we need to get up early tomorrow because it’s midweek, we will emit a 1 (i.e. true) if the current day is Sunday to Thursday.  However, if it’s Friday or Saturday, we might still emit 0, only changing this to a 1 after another few hours of partying.  Naturally this is a very simple example, and it works as a single neuron working in isolation – there’s no network to speak of.

Where it gets interesting is when we begin to connect the outputs of neurons to the inputs of other neurons.  This means that we can add additional levels of neurons that make decisions on the basis of groups of other neurons rather than input signals directly. Essentially, https://www.bestassignmentsupport.com/programming-homework-help/machine-learning-homework-help.php decisions can be made at increasingly higher, more abstract levels as we continue to pipe more neuron outputs to other inputs.  However, this is still binary – each neuron emits either a 1 or a 0, and thus the entire network could be replicated as a series of IF statements in any programming language.  Additionally, the entire network swings wildly between ‘true’ and ‘false’ outcomes.

We can upgrade our binary perceptrons into sigmoid neurons which instead emit discrete values between 1 and 0. https://www.bestassignmentsupport.com/programming-homework-help/machine-learning-homework-help.php At this point, the neuron can be used to model a statistical likelihood instead of simple, all or nothing, true or false evaluations.  Think back to our handwriting example.  If we look at a huge number of sample inputs, the machine can build up a statistical model about what the figures 1 or 0 look like on average.  Some input examples will not have ink in the central square for a 1 because of the way they’ve been written; some examples may ink in that square for a zero because they’re off-centre.  Other numbers will also either have or not have ink in that central square.  Thus, we can have a sigmoid perceptron for every number, that takes the central square as an input, and emits the probability of that number having ink in the central square.  We can then do the same for all the other numbers and characters in the alphabet, and connect these neurons together in a network.  The system has learned from data what characters look like and built up a model, rather than having been told what to do in a set of programmed rules. Specifically, what we’ve built utilises supervised learning.

(An illustration of connections between neurons, or cells)

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Hire Machine Learning Expert Online

Hire Machine Learning Expert Online:

Hire good ML Experts sometimes might be challenging for IT recruiter because it takes a long period of recruitment process and research to find a good one. You can search through a candidate’s LinkedIn profile or a resume all you want. If you can’t tell your JPA from your gradel you won’t be able to tell if the candidate is a good fit for the position you want to fill.

There are lots of virtual assistants available, you can outsource for your ML project to a reliable recruitment agency that offers experienced and qualified ML programmers to execute your project.

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Machine Learning Homework will cover with basic understanding of logic, discussing about Flowcharts, Psudo Code and students will solve also some of the Puzzles in initial classes. Machine Learning Homework expert will answers all the questions and doubts with step-by-step explanations. Our online Machine Learning Homework help tutors are available.​

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Machine Learning CourseWork will cover with basic understanding machine learning assignment, teach machine learning online, advanced machine learning assignments, machine learning projects help

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Forum for Machine Learning are places where student , learner can post his or her questions , doubts and answer are given by experienced and beginners. Forums are always helpful for learning by doing. https://www.bestassignmentsupport.com/programming-homework-help/ Machine learning discussion forum are made for student to  solve student doubts and questions also we share machine learning projects ideas, Machine Learning examples, Good Machine learning resources, Machine Learning tutorials. For more details you can visit to important Machine Learning forum .​

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At https://www.bestassignmentsupport.com/ we offer solutions to all aspect of Machine Learning, Assign ML coders to help you with all your ML needs. You can avail by hiring ML developers and programmers. We provide programming help, coding help, and other ML related algorithms.  ML is one of the parts of AI serving the industry from a long time and known for fast areas of availability worldwide. It is the most demanding skill and choice for a developer for many good reasons, and the trend is expected to continue for many years to come and digitization, the need of ML a developer is also increasing day by day.

Why Machine learning is  important and useful for AI:

As a Student or developer, you can't ignore or skip the java programming language it's not just a programming language instead you can see Machine Learning a technology serving almost every area of technologies. One would say ML is complete package journey from student to the developer. It provides great flexibility while choosing a platform.

The large volume of data is generated every day by billions of user using the internet. For a human being, it's not possible to process data and get insight from data. These data is very important and profitable for a business to guide customer behavior and activity. Machine learning is a collection of advanced algorithms which process data. If short, In machine learning, we perform three main  tasks:

But perform these three tasks we'll have to do lots of pre-processing task. The two main challenges of machine learning to data preparation and accurate data collection. then divide data into labels/Fields or properties.

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Machine Learning Homework Help

Time-intensive data entry tasks: Data duplication, is the key concern faced by organization to automate their data entry process. When the machine learning algorithm is used, machines will be carrying out time-intensive data entry tasks while leaving the workers to focus on other tasks.

Other Applications: Face detection, pattern recognition, video games, computer vision and cognitive services

 ·       Machine Learning

 ·       Deep Learning

 ·       Bioinformatics

 ·       Video Games

 ·       Automatic Speech Recognition

 ·       Genomics

 ·       Computer Vision

 ·       Mobile Advertising

 ·       System Biology

 ·       Language Processing

 ·       Natural Language Processing

 ·       Proteomics

 ·       Face Detection

 ·       Bioinformatics

 ·       Text mining

 ·       Image Recognition

 ·       CRM Technologies

 ·       Microarrays

 ·       Pattern Recognition

 ·       Image Recognition

 ·       Neural Networks

 ·       Bayesian Network

 ·       Toxicology

 ·       DNA sequence analysis

 ·       Data Mining

 ·       Colorize Images

 ·       Protein sequence analysis

 ·       Cognitive Services

 ·       Automatic Game Playing

 ·       Predicting functional structures

 ·       Predictive Learning

 ·       Object Classification in Photographs

 ·       Drug Screening

 ·       Reinforcement Learning

 ·       Automatic Machine Translation

 ·       Metabolic and regulatory networks