Great book! >>> "Becoming a Data Head: How to Think, Speak, and Understand #DataScience, #Statistics, and #MachineLearning" at http://
amzn.to/3uwMfwR by @GutmanDataHead & @JLOOKUP_ —————
#Analytics #DataScientist #AI #ML #DataLiteracy #DeepLearning #NeuralNetworks #DataFluency
EDUCATION
-
Recommended Book on Data Science and Machine Learning Fundamentals
By
–
-
PANDAS Cookbook: Practical Recipes for Scientific Computing and Data Analysis
By
–
PANDAS Cookbook — Practical recipes for scientific computing, time series and exploratory data analysis using #Python: http://
amzn.to/3Y0XRY5 v/ @PacktDataML [3rd ed.]
——
#DataScience #ComputationalScience #Analytics #MachineLearning #DataScientist
——
What you will learn: The -
Stellar AI Python Educational Resource by Bayo Adekanmbi
By
–
This is a stellar #AI / #Python educational resource: http://
amzn.to/3UYQ0HC by @bayoadekanmbi @dsn_ai_network —————
#DataLiteracy #Coding #STEM #ComputationalThinking #DataScience #MachineLearning #AnalyticThinking #DataScientist -
Master Algorithms: Learn Debugging, Optimization, and Data Structures
By
–
Dive Into #Algorithms : http://
amzn.to/3XwBgE2 What you will learn with this book:
Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees
Measure the efficiency and speed of algorithms
Generate Voronoi diagrams for use in various -
8 Python Code Snippets for Data Cleaning and Messy Data Handling
By
–
8 Simple, Practical Data Cleaning #Python Code Snippets to handle messy data: http://
bit.ly/3hpthSD
+
#DataCleaning Cookbook to prepare your data for analysis — PANDAS, NumPy, Matplotlib, scikit-learn, etc.: http://
amzn.to/4c6DAWf
———
#DataScience #AI #ML #CDO #DataScientist -
Learn Quantum Computing with Python and IBM Quantum Platform
By
–
Learn #QuantumComputing with #Python and IBM Quantum — Write your own practical quantum programs with Python [2nd Edition]: http://
amzn.to/3F3PdlD via @PacktDataML ——
𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Get familiar with the features within the IBM Quantum Platform -
Python Programming for Beginners: 2 Books with Practical Exercises
By
–
#Python Programming for Beginners — 2 books in 1 — learn quickly with practical exercises: http://
amzn.to/3KmgfV0
————
#DataScience #MachineLearning #Coding #DataScientists -
Colab and Jupyter Notebooks Usage Frequency Survey
By
–
How often do you use Colab/Jupyter notebooks?
-
High-Dimensional Probability Introduction for Data Science Applications
By
–
“High-Dimensional #Probability — An Introduction with Applications in #DataScience”, by Roman Vershynin See 340-page PDF Draft 2nd Edition here: https://
math.uci.edu/~rvershyn/pape
rs/HDP-book/HDP-2.pdf
…
+
The author's website: https://
math.uci.edu/~rvershyn/pape
rs/papers.html
…
————
#Statistics #Optimization #MachineLearning #Mathematics -
Data Science eBook: Theories, Models, Algorithms and Analytics
By
–
(Download 462-page PDF eBook) #DataScience Theories, Models, #Algorithms, and Analytics: https://
bit.ly/3vZqiYr —————
#BigData #AI #MachineLearning #ML #DataScientist #Mathematics #Statistics #Coding #NetworkScience #NeuralNetworks