Machine Learning Guide

Machine Learning Guide

Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.

Tämä podcast on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi podcastin jaksot saattavat sisältää mainontaa.

Jaksot(60)

MLA 010 NLP packages: transformers, spaCy, Gensim, NLTK

MLA 010 NLP packages: transformers, spaCy, Gensim, NLTK

The landscape of Python natural language processing tools has evolved from broad libraries like NLTK toward more specialized packages such as Gensim for topic modeling, SpaCy for linguistic analysis, ...

28 Loka 202026min

MLA 009 Charting and Visualization Tools for Data Science

MLA 009 Charting and Visualization Tools for Data Science

Python charting libraries - Matplotlib, Seaborn, and Bokeh - explaining, their strengths from quick EDA to interactive, HTML-exported visualizations, and clarifies where D3.js fits as a JavaScript alt...

6 Marras 201824min

MLA 008 Exploratory Data Analysis (EDA)

MLA 008 Exploratory Data Analysis (EDA)

Exploratory data analysis (EDA) sits at the critical pre-modeling stage of the data science pipeline, focusing on uncovering missing values, detecting outliers, and understanding feature distributions...

26 Loka 201825min

MLA 007 Jupyter Notebooks

MLA 007 Jupyter Notebooks

Jupyter Notebooks, originally conceived as IPython Notebooks, enable data scientists to combine code, documentation, and visual outputs in an interactive, browser-based environment supporting multiple...

16 Loka 201816min

MLA 006 Salaries for Data Science & Machine Learning

MLA 006 Salaries for Data Science & Machine Learning

O'Reilly's 2017 Data Science Salary Survey finds that location is the most significant salary determinant for data professionals, with median salaries ranging from $134,000 in California to under $30,...

19 Heinä 201819min

MLA 005 Shapes and Sizes: Tensors and NDArrays

MLA 005 Shapes and Sizes: Tensors and NDArrays

Explains the fundamental differences between tensor dimensions, size, and shape, clarifying frequent misconceptions—such as the distinction between the number of features ("columns") and true data dim...

9 Kesä 201827min

MLA 003 Storage: HDF, Pickle, Postgres

MLA 003 Storage: HDF, Pickle, Postgres

Practical workflow of loading, cleaning, and storing large datasets for machine learning, moving from ingesting raw CSVs or JSON files with pandas to saving processed datasets and neural network weigh...

24 Touko 201817min

MLA 002 Numpy & Pandas

MLA 002 Numpy & Pandas

NumPy enables efficient storage and vectorized computation on large numerical datasets in RAM by leveraging contiguous memory allocation and low-level C/Fortran libraries, drastically reducing memory ...

24 Touko 201818min

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