Learning Haskell: A Resource Guide

One of the most common difficulties that all of us face when we decide to start learning something new – we just don’t know where to start and where to learn.

If earlier there was a problem to find a book, tutorial or course – now you can find a lot of web sources with good materials and tons of refuse at the same time. We have prepared a small springboard for you – a list of educational Haskell sources that have been verified by our specialists.

Here’s our list. Reviews are one little scroll below.

First day at school

Learn You a Haskell

Learn You a Haskell

http://learnyouahaskell.com/

Book

Suitable for: newbies

Learn You a Haskell is a great non-trivial source of knowledge for beginners in the functional programming world. In addition to online material, there is a paper version of LYAH for people who prefer books instead of web sources, it costs $32 on Amazon. All of these materials are prepared and written by Miran Lipovača, a Slovenian computer science student.

It’s convenient for learning Haskell – well-illustrated, step-by-step guide with references to pop-culture.

Also, it has 4.3 rating on Goodreads and the online version is completely free.

“This is a fantastic book and I highly recommend it as the first book on Haskell — and possibly even the second." — Michael Fogus, author of The Joy of Clojure

Type Classes

Type Classes

#learning haskell #resource guide #python #machine learning

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Buddha Community

Learning Haskell: A Resource Guide

Learning Haskell: A Resource Guide

One of the most common difficulties that all of us face when we decide to start learning something new – we just don’t know where to start and where to learn.

If earlier there was a problem to find a book, tutorial or course – now you can find a lot of web sources with good materials and tons of refuse at the same time. We have prepared a small springboard for you – a list of educational Haskell sources that have been verified by our specialists.

Here’s our list. Reviews are one little scroll below.

First day at school

Learn You a Haskell

Learn You a Haskell

http://learnyouahaskell.com/

Book

Suitable for: newbies

Learn You a Haskell is a great non-trivial source of knowledge for beginners in the functional programming world. In addition to online material, there is a paper version of LYAH for people who prefer books instead of web sources, it costs $32 on Amazon. All of these materials are prepared and written by Miran Lipovača, a Slovenian computer science student.

It’s convenient for learning Haskell – well-illustrated, step-by-step guide with references to pop-culture.

Also, it has 4.3 rating on Goodreads and the online version is completely free.

“This is a fantastic book and I highly recommend it as the first book on Haskell — and possibly even the second." — Michael Fogus, author of The Joy of Clojure

Type Classes

Type Classes

#learning haskell #resource guide #python #machine learning

Houston  Sipes

Houston Sipes

1600430400

10 Free Online Resources To Learn Swift Language

Swift is a fast and efficient general-purpose programming language that provides real-time feedback and can be seamlessly incorporated into existing Objective-C code. This is why developers are able to write safer, more reliable code while saving time. It aims to be the best language that can be used for various purposes ranging from systems programming to mobile as well as desktop apps and scaling up to cloud services.

Below here, we list down the 10 best online resources to learn Swift language.

(The list is in no particular order)

#developers corner #free online resources to learn swift language #learn swift #learn swift free #learn swift online free #resources to learn swift #swift language #swift programming

Jerad  Bailey

Jerad Bailey

1598891580

Google Reveals "What is being Transferred” in Transfer Learning

Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.

The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.

#developers corner #learn transfer learning #machine learning #transfer learning #transfer learning methods #transfer learning resources

Tia  Gottlieb

Tia Gottlieb

1596336480

Beginners Guide to Machine Learning on GCP

Introduction to Machine Learning

  • Machine Learning is a way to use some set of algorithms to derive predictive analytics from data. It is different than Business Intelligence and Data Analytics in a sense that In BI and Data analytics Businesses make decision based on historical data, but In case of Machine Learning , Businesses predict the future based on the historical data. Example, It’s a difference between what happened to the business vs what will happen to the business.Its like making BI much smarter and scalable so that it can predict future rather than just showing the state of the business.
  • **ML is based on Standard algorithms which are used to create use case specific model based on the data **. For example we can build the model to predict delivery time of the food, or we can build the model to predict the Delinquency rate in Finance business , but to build these model algorithm might be similar but the training would be different.Model training requires tones of examples (data).
  • Basically you train your standard algorithm with your Input data. So algorithms are always same but trained models are different based on use cases. Your trained model will be as good as your data.

ML, AI , Deep learning ? What is the difference?

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ML is type of AI

AI is a discipline , Machine Learning is tool set to achieve AI. DL is type of ML when data is unstructured like image, speech , video etc.

Barrier to Entry Has Fallen

AI & ML was daunting and with high barrier to entry until cloud become more robust and natural AI platform. Entry barrier to AI & ML has fallen significantly due to

  • Increasing availability in data (big data).
  • Increase in sophistication in algorithm.
  • And availability of hardware and software due to cloud computing.

GCP Machine Learning Spectrum

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  • For Data scientist and ML experts , TensorFlow on AI platform is more natural choice since they will build their own custom ML models.
  • But for the users who are not experts will potentially use Cloud AutoML or Pre-trained ready to go model.
  • In case of AutoML we can trained our custom model with Google taking care of much of the operational tasks.
  • Pre-trained models are the one which are already trained with tones of data and ready to be used by users to predict on their test data.

Prebuilt ML Models (No ML Expertise Needed)

  • As discuss earlier , GCP has lot of Prebuilt models that are ready to use to solve common ML task . Such as image classification, Sentiment analysis.
  • Most of the businesses are having many unstructured data sources such as e-mail, logs, web pages, ppt, documents, chat, comments etc.( 90% or more as per various studies)
  • Now to process these unstructured data in the form of text, we should use Cloud Natural Language API.
  • Similarly For common ML problems in the form of speech, video, vision we should use respective Prebuilt models.

#ml-guide-on-gcp #ml-for-beginners-on-gcp #beginner-ml-guide-on-gcp #machine-learning #machine-learning-gcp #deep learning

sophia tondon

sophia tondon

1620898103

5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

#machinelearningapps #machinelearningdevelopers #machinelearningexpert #machinelearningexperts #expertmachinelearningservices #topmachinelearningcompanies #machinelearningdevelopmentcompany

Visit Blog- https://www.xplace.com/article/8743

#machine learning companies #top machine learning companies #machine learning development company #expert machine learning services #machine learning experts #machine learning expert