This list of resources is specifically targeted at Web Developers and Data Scientistsβ¦. so do with it what you willβ¦This list borrowsβ¦
Everything You Need To Become A Machine Learner
This list of resources is specifically targeted at Web Developers and Data Scientistsβ¦. so do with it what you willβ¦This list borrows heavily from multiple lists created by : sindresorhus
Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.
The goal of AI is to create computer models that exhibit βintelligent behaviorsβ like humans, according to Boris Katz, a principal research scientist and head of the InfoLab Group at CSAIL. This means machines that can recognize a visual scene, understand a text written in natural language, or perform an action in the physical world.
Machine learning is one way to use AI. It was defined in the 1950s by AI pioneer Arthur Samuel as βthe field of study that gives computers the ability to learn without explicitly being programmed.β
- \[π\] Delivering Happiness - \[π\] Good to Great: Why Some Companies Make the Leapβ¦And Others Donβt - \[π\] Hello, Startup: A Programmerβs Guide to Building Products, Technologies, and Teams - \[π\] How Google Works - \[π\] Learn to Earn: A Beginnerβs Guide to the Basics of Investing and Business - \[π\] Rework - \[π\] The Airbnb Story - \[π\] The Personal MBA - \[ \] Facebook: Digital marketing: get started - \[ \] Facebook: Digital marketing: go further - \[ \] Google Analytics for Beginners - \[ \] Moz: The Beginnerβs Guide to SEO - \[ \] Smartly: Marketing Fundamentals - \[ \] Treehouse: SEO Basics - \[π
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€\]κ How to Build a Startup
Natural language processing
Natural language processing is a field of machine learning in which machines learn to understand natural language as spoken and written by humans, instead of the data and numbers normally used to program computers. This allows machines to recognize language, understand it, and respond to it, as well as create new text and translate between languages. Natural language processing enables familiar technology like chatbots and digital assistants like Siri or Alexa.### Neural networksNeural networks are a commonly used, specific class of machine learning algorithms. Artificial neural networks are modeled on the human brain, in which thousands or millions of processing nodes are interconnected and organized into layers.
In an artificial neural network, cells, or nodes, are connected, with each cell processing inputs and producing an output that is sent to other neurons. Labeled data moves through the nodes, or cells, with each cell performing a different function. In a neural network trained to identify whether a picture contains a cat or not, the different nodes would assess the information and arrive at an output that indicates whether a picture features a cat.
Be familiar with how Machine Learning is applied at other companies
Be able to frame anMachine Learning problem
Β· [ ] AWS: Types of Machine Learning Solutions
Β· [π°] Apply Machine Learning to your Business
Β· [π°] Resilience and Vibrancy: The 2020 Data & AI Landscape
Β· [π°] Software 2.0
Β· [π°] Highlights from ICML 2020
Β· [π°] A Peek at Trends in Machine Learning
Β· [π°] How to deliver on Machine Learning projects
Β· [π°] Data Science as a Product
Β· [π°] Customer service is full of machine learning problems
Β· [π°] Choosing Problems in Data Science and Machine Learning
Β· [π°] Why finance is deploying natural language processing
Β· [π°] The Last 5 Years In Deep Learning
Β· [π°] Always start with a stupid model, no exceptions.
Β· [π°] Most impactful AI trends of 2018: the rise ofMachine Learning Engineering
Β· [π°] Building machine learning products: a problem well-defined is a problem half-solved.
Β· [π°] Simple considerations for simple people building fancy neural networks
Β· [π°] Maximizing Business Impact with Machine Learning
Β· [π] AI Superpowers: China, Silicon Valley, and the New World Order
Β· [π] A Humanβs Guide to Machine Intelligence
Β· [π] The Future Computed
Β· [π] Machine Learning Yearning by Andrew Ng
Β· [π] Prediction Machines: The Simple Economics of Artificial Intelligence
Β· [π] Building Machine Learning Powered Applications: Going from Idea to Product
Β· [ ] Coursera: AI For Everyone
Β· [π»] Data Science for Everyone
Β· [π»] Machine Learning with the Experts: School Budgets
Β· [π»] Machine Learning for Everyone
Β· [π»] Data Science for Managers
Β· [ ] Facebook: Field Guide to Machine Learning
Β· [G] Introduction to Machine Learning Problem Framing
Β· [ ] Pluralsight: How to Think About Machine Learning Algorithms
Β· [ ] State of AI Report 2020
Β· [πΊ ] Vincent Warmerdam: The profession of solving (the wrong problem) | PyData Amsterdam 2019
Β· [πΊ ] Hugging Face, Transformers | NLP Research and Open Source | Interview with Julien Chaumond
Β· [πΊ ] Vincent WarmerdamβββPlaying by the Rules-Based-Systems | PyData Eindhoven 2020
Β· [πΊ ] Building intuitions before building models
Be familiar with data ethics
Be able to import data from multiple sources
Be able to setup data annotation efficiently
[π°] Create A Synthetic Image DatasetβββThe βWhatβ, The βWhyβ and The βHowβ
Be able to manipulate data with Numpy
Be able to manipulate data with Pandas
Be able to manipulate data in spreadsheets
Be able to manipulate data in databases
Be able to use Linux
Resources:
Bash Proficiency In Under 15 Minutes
Cheat sheet and in-depth explanations located below main article contentsβ¦ The UNIX shell program interprets userβ¦
These Are The Bash Shell Commands That Stand Between Me And Insanity
I will not profess to be a bash shell wizardβ¦ but I have managed to scour some pretty helpful little scripts from Stackβ¦
Bash Commands That Save Me Time and Frustration
Hereβs a list of bash commands that stand between me and insanity.
Life Saving Bash Scripts Part 2
I am not saying theyβre in any way special compared with other bash scriptsβ¦ but when I consider that you can neverβ¦
What Are Bash Aliases And Why Should You Be Using Them!
A Bash alias is a method of supplementing or overriding Bash commands with new ones. Bash aliases make it easy forβ¦
BASH CHEAT SHEET
My Bash Cheatsheet Index:
holy grail of learning bash
Be able to perform feature selection and engineering
Be able to experiment in a notebook
Be able to visualize data
Be able to model problems mathematically
Be able to setup project structure
Be able to version control code
Understanding Git (A Beginners Guide Containing Cheat Sheets & Resources)
_Basic Git Work Flow._levelup.gitconnected.com
Github Repositories That Will Teach You How To Code For Free!
_Update: hereβs a repo full of helpful repos:_levelup.gitconnected.com
Be able to setup model validation
Be familiar with inner working of models
Be able to improve models
Be familiar with fundamental Machine Learning concepts
CNN
[ ] edX: Data Science Essentials
[ πΊ] Fast.ai: Deep Learning for Coder (2020)
[ πΊ] Lesson 0
[πΊ ] Lesson 1
[πΊ ] Lesson 2
[πΊ ] Lesson 3
[πΊ ] Lesson 4
[ πΊ] Lesson 5
[ πΊ] Lesson 6
[ πΊ] Lesson 7
[πΊ ] Lesson 8
Implement models in scikit-learn
Be able to implement models in Tensorflow and Keras
Be able to implement models in PyTorch
Be able to implement models using cloud services
By Bryan Guner on August 30, 2021.
Canonical link
Exported from Medium on August 31, 2021.
