Hi this is a checklist of my learning plan as I progress through my career!
- Book: Atomic Habits
- Book: Deep Work
- Book: Emotional Intelligence
- Book: Good to Great: Why Some Companies Make the Leap...And Others Don't
- Book: Multipliers: How the Best Leaders Make Everyone Smarter
- Book: Outliers: The Story of Success
- Book: Rich Dad Poor Dad
- Book: Soft Skills: The software developer's life manual
- Book: The 10X Rule: The Only Difference Between Success and Failure
- AWS: Types of Machine Learning Solutions
- Book: AI Superpowers: China, Silicon Valley, and the New World Order
- Book: The Future Computed
- Book: Machine Learning Yearning by Andrew Ng
- Book: Prdiction Machines: The Simple Economics of Artificial Intelligence
- Coursera: AI For Everyone
- Datacamp: Case Studies in Statistical Thinking
- Datacamp: HR Analytics in Python: Predicting Employee Churn
- Datacamp: Machine Learning with the Experts: School Budgets
- Datacamp: Analyzing Police Activity with pandas
- Facebook: Field Guide to Machine Learning
- Google: Art and Science of Machine Learning
- Google: How Google does Machine Learning
- Google: Introduction to Machine Learning Problem Framing
- Microsoft: Define an AI strategy to create business value
- Microsoft: Discover ways to foster an AI-ready culture in your business
- Microsoft: Identify guiding principles for responsible AI in your business
- Microsoft: Introduction to AI technology for business leaders
- Pluralsight: How to Think About Machine Learning Algorithms
- Udacity: Problem Solving with Advanced Analytics
- Datacamp: Intro to Python for Data Science
- Pluralsight: Working with Multidimensional Data Using NumPy
- Bash Academy
- Bash Programming
- Codecademy: Learn the Command Line
- CONQUERING THE COMMAND LINE
- Datacamp: Introduction to Shell for Data Science
- LaunchSchool: Introduction to Commandline
- Learn Enough Command Line to be dangerous
- Thoughtbot: Mastering the Shell
- Thoughtbot: tmux
- Udacity: Linux Command Line Basics
- Udacity: Linux Web Servers
- Udacity: Shell Workshop
- Udacity: Web Tooling & Automation
- Web Bos: Command Line Power User
- Datacamp: Analyzing Social Media Data in Python
- Datacamp: Preprocessing for Machine Learning in Python
- Datacamp: Data Types for Data Science
- Datacamp: Cleaning Data in Python
- Datacamp: Importing Data in Python (Part 2)
- Datacamp: Importing & Managing Financial Data in Python
- Datacamp: Manipulating Time Series Data in Python
- edX: Data Science Essentials
- Google: Feature Engineering
- Spacy Tutorial
- TextBlob Tutorial Series
- Udacity: Creating an Analytical Dataset
- Datacamp: Introduction to Data Visualization with Python
- Datacamp: Data Visualization with Seaborn
- Datacamp: Visualizing Time Series Data in Python
- Datacamp: Visualizing Geospatial Data in Python
- Datacamp: Interactive Data Visualization with Bokeh
- Paper: Tensorflow.js
- Whitepaper: Architecting for the Cloud AWS Best Practices
- Whitepaper: AWS Well-Architected Framework
- Whitepaper: AWS Security Best Practices
- Whitepaper: Blue/Green Deployments on AWS
- Whitepaper: Microservices on AWS
- Whitepaper: Optimizing Enterprise Economics with Serverless Architectures
- Whitepaper: Practicing Continuous Integration and Continuous Delivery on AWS
- Whitepaper: Running Containerized Microservices on AWS
- Whitepaper: Serverless Architectures with AWS Lambda
- Book: The Elements of Statistical Learning
- Book: Basics of Linear Algebra for Machine Learning
- Book: Doing Math with Python
- Datacamp: Statistical Thinking in Python (Part 1)
- Datacamp: Statistical Thinking in Python (Part 2)
- edX: Essential Statistics for Data Analysis using Excel
- Essence of Linear Algebra
- Khan Academy: Precalculus
- Khan Academy: Probability
- Khan Academy: Differential Calculus
- Khan Academy: Multivariable Calculus
- Khan Academy: Linear Algebra
- The Math of Intelligence
- Udacity: Algebra Review
- Udacity: Differential Equations in Action
- Udacity: Eigenvectors and Eigenvalues
- Udacity: Linear Algebra Refresher
- Udacity: Statistics
- Udacity: Intro to Descriptive Statistics
- Udacity: Intro to Inferential Statistics
- AWS: Semantic Segmentation Explained
- AWS: The Elements of Data Science
- AWS: Understanding Neural Networks
- A friendly introduction to Recurrent Neural Networks
- Coursera: Neural Networks and Deep Learning
- Datacamp: Network Analysis in Python (Part 1)
- Datacamp: Network Analysis in Python (Part 2)
- Datacamp: Extreme Gradient Boosting with XGBoost
- Datacamp: Parallel Computing with Dask
- Datacamp: Introduction to PySpark
- Datacamp: Building Recommendation Engines with PySpark
- Datacamp: Building Chatbots in Python
- Datacamp: Statistical Simulation in Python
- Datacamp: Foundations of Predictive Analytics in Python (Part 1)
- Datacamp: Natural Language Processing Fundamentals in Python
- edX: Principles of Machine Learning
- edX: Data Science Essentials
- edX: Principles of Machine Learning
- edX: Implementing Predictive Analytics with Spark in Azure HDInsight
- Google: ML Practicum: Image Classification
- Google: Launching into Machine Learning
- Grokking Deep Learning
- How Deep Neural Networks work
- How CNN works
- Jason Machine Learning 101 Slides
- Make Your Own Neural Network
- Pluralsight: Understanding Algorithms for Recommendation Systems
- Pluralsight: Deep Learning: The Big Picture
- RNN and LSTM
- Udacity: A Friendly Introduction to Machine Learning
- Udacity: Intro to Data Analysis
- Udacity: Intro to Data Science
- Udacity: Intro to Machine Learning
- Udacity: Reinforcement Learning
- Udacity: Deep Learning
- Udacity: Intro to Artificial Intelligence
- Udacity: Classification Models
- Udacity: Segmentation and Clustering
- Book: Deep Learning for Computer Vision with Python
- Book: Practical Python and OpenCV
- Datacamp: Biomedical Image Analysis in Python
- Udacity: Introduction to Computer Vision
- Datacamp: Machine Learning for Finance in Python
- Datacamp: Introduction to Time Series Analysis in Python
- Datacamp: Machine Learning for Time Series Data in Python
- Datacamp: Intro to Portfolio Risk Management in Python
- Datacamp: Financial Forecasting in Python
- Datacamp: Intro to Financial Concepts using Python
- Kaggle: Time Series with Siraj
- Udacity: Machine Learning for Trading
- Udacity: Time Series Forecasting
- Coursera: Introduction to Tensorflow
- Deeplizard: Keras - Python Deep Learning Neural Network API
- Deep Learning with Python
- Datacamp: Deep Learning in Python
- Datacamp: Convolutional Neural Networks for Image Processing
- Google: Keras Blog
- Google: Intro to Tensorflow
- Google: Machine Learning Crash Course
- Pluralsight: Deep Learning with Keras
- Udacity: Intro to TensorFlow for Deep Learning
- AWS: Amazon Transcribe Deep Dive: Using Feedback Loops to Improve Confidence Level of Transcription
- AWS: Build a Text Classification Model with AWS Glue and Amazon SageMaker
- AWS: Deep Dive on Amazon Rekognition: Building Computer Visions Based Smart Applications
- AWS: Hands-on Rekognition: Automated Video Editing
- AWS: Introduction to Amazon Comprehend
- AWS: Introduction to Amazon Comprehend Medical
- AWS: Introduction to Amazon Elastic Inference
- AWS: Introduction to Amazon Forecast
- AWS: Introduction to Amazon Lex
- AWS: Introduction to Amazon Personalize
- AWS: Introduction to Amazon Polly
- AWS: Introduction to Amazon SageMaker Ground Truth
- AWS: Introduction to Amazon SageMaker Neo
- AWS: Introduction to Amazon Transcribe
- AWS: Introduction to Amazon Translate
- AWS: Introduction to AWS Marketplace - Machine Learning Category
- AWS: Machine Learning Exam Basics
- AWS: Neural Machine Translation with Sockeye
- AWS: Process Model: CRISP-DM on the AWS Stack
- AWS: Satellite Image Classification in SageMaker
- edX: Amazon SageMaker: Simplifying Machine Learning Application Development
- Datacamp: Customer Analytics & A/B Testing in Python
- Udacity: A/B Testing
- Udacity: A/B Testing for Business Analysts
- Acloudguru: AWS Certified Machine Learning - Specialty
- Acloudguru: AWS Certified Developer - Associate
- Acloudguru: AWS Certification Preparation Guide
- AWS: Exam Readiness: AWS Certified Developer – Associate
- AWS: Thirty Serverless Architectures in 30 Minutes
- Pluralsight: AWS Developer: The Big Picture
- Pluralsight: AWS Networking Deep Dive: Virtual Private Cloud (VPC)
- Pluralsight: AWS VPC Operations
- Pluralsight: Building Applications Using Elastic Beanstalk
- Udemy: AWS Concepts
- Udemy: Serverless Concepts
- Udemy: AWS Certified Developer - Associate 2018
- Codecademy: Deploy a Website
- Pluralsight: Hands-on Ansible
- Pluralsight: Docker and Containers: The Big Picture
- Pluralsight: Docker and Kubernetes: The Big Picture
- Servers for Hackers Series
- The Hacker's Guide to Scaling Python
- Udacity: HTTP & Web Servers
- Udacity: Intro to DevOps
- Udacity: Deploying Applications with Heroku
- Udacity: Developing Scalable Apps in Python
- Udacity: Configuring Linux Web Servers
- Udacity: Scalable Microservices with Kubernetes
- Udacity: Intro to Hadoop and MapReduce
- Pluralsight: Test-driven Development: The Big Picture
- Test Driven Development with Python
- Thoughtbot: Fundamentals of TDD
- Treehouse: Python Testing
- Udacity: Javascript Testing
- Udacity: Software Analysis & Testing
- Udacity: Software Testing
- Udacity: Software Debugging
- Book: Automate the boring stuff with python
- Datacamp: Intermediate Python for Data Science
- Datacamp: Python Data Science Toolbox (Part 1)
- Datacamp: Python Data Science Toolbox (Part 2)
- Datacamp: Intro to Python for Finance
- edX: Introduction to Python for Data Science
- edX: Programming with Python for Data Science
- Google's Python Class
- Treehouse: Python Decorators
- Treehouse: Write Better Python
- Udacity: C++ For Programmers
- Udacity: Java Programming Basics
- Udacity: Object Oriented Programming in Java
- Datacamp: Introduction to Git for Data Science
- Git Immersion
- Learn enough git to be dangerous
- Thoughtbot: Mastering Git
- Codecademy: Big O
- Crashcourse: Computer Science
- Grokking Algorithms
- Khan Academy: Data Structures
- Tech Interview Handbook
- Udacity: Computer Networking
- Udacity: Compilers: Theory and Practice
- Udacity: Intro to Algorithms
- Udacity: Intro to Computer Science
- Udacity: Intro to Operating Systems
- Udacity: Intro to Theoretical Computer Science
- Udacity: Programming Languages
- Udacity: Networking for Web Developers
- Datacamp: Software Engineering for Data Scientists in Python
- Launch School: Agile Planning
- Pluralsight: Product Owner Fundamentals
- Pluralsight: Scrum Master Fundamentals - Foundations
- Pluralsight: Security Awareness: Basic Concepts and Terminology
- Pluralsight: Secure Software Development
- Pluralsight: Clean Architecture: Patterns, Practices, and Principles
- Thoughtbot: Software Development Process
- Thoughtbot: Refactoring
- Udacity: Design of Computer Programs
- Udacity: Product Design
- Udacity: Rapid Prototyping
- Udacity: Software Architecture and Design
- Udacity: Software Development Process
- Udacity: Full Stack Foundations