MLA 003 Storage: HDF, Pickle, Postgres

FromMachine Learning Guide

Start listening View podcast show

MLA 003 Storage: HDF, Pickle, Postgres

FromMachine Learning Guide

ratings:

Length:

17 minutes

Released:

May 24, 2018

Format:

Podcast episode

Description

Comparison of different data storage options when working with your ML models.

Released:

May 24, 2018

Format:

Podcast episode

Titles in the series (48)

Teaches the high level fundamentals of machine learning and artificial intelligence. I teach basic intuition, algorithms, and math. I discuss languages and frameworks, deep learning, and more. Audio may seem inferior, but it's a great supplement during exercise/commute/chores. Where your other resources provide the machine learning trees, I provide the forest. Consider me your syllabus. At the end of every episode I provide high-quality curated resources for learning each episode’s details.

Skip carousel

001 Introduction: Teaches the high level fundamentals of machine learning and artificial intelligence. I teach basic intuition, algorithms, and math. I discuss languages and frameworks, deep learning, and more. ocdevel.com/mlg/1 for notes and resources by Machine Learning Guide
9 min listen
003 Inspiration: Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear. ocdevel.com/mlg/3 for notes and resources by Machine Learning Guide
18 min listen
015 Performance: Performance evaluation & improvement. ocdevel.com/mlg/15 for notes and resources by Machine Learning Guide
41 min listen
009 Deep Learning: Deep learning and neural networks. How to stack our logisitic regression units into a multi-layer perceptron. ocdevel.com/mlg/9 for notes and resources by Machine Learning Guide
51 min listen
012 Shallow Algos 1: Speed-run of some shallow algorithms: K Nearest Neighbors (KNN); K-means; Apriori; PCA; Decision Trees ocdevel.com/mlg/12 for notes and resources by Machine Learning Guide
53 min listen
005 Linear Regression: Introduction to the first machine-learning algorithm, the 'hello world' of supervised learning - Linear Regression ocdevel.com/mlg/5 for notes and resources by Machine Learning Guide
34 min listen
MLG 002 What is AI, ML, DS: Show notes at . What is artificial intelligence and machine learning? What's the difference? How about compared to statistics and data science? AI history. by Machine Learning Guide
64 min listen
007 Logistic Regression: Your first classifier: Logistic Regression. That plus Linear Regression, and you're a 101 supervised learner! ocdevel.com/mlg/7 for notes and resources by Machine Learning Guide
34 min listen
004 Algorithms - Intuition: Overview of machine learning algorithms. Infer/predict, error/loss, train/learn. Supervised, unsupervised, reinforcement learning. ocdevel.com/mlg/4 for notes and resources by Machine Learning Guide
23 min listen
006 Certificates & Degrees: Discussion on certificates and degrees from Udacity to a Masters degree. ocdevel.com/mlg/6 for notes and resources by Machine Learning Guide
16 min listen
013 Shallow Algos 2: Speed run of Support Vector Machines (SVMs) and Naive Bayes Classifier. ocdevel.com/mlg/13 for notes and resources by Machine Learning Guide
55 min listen
017 Checkpoint: Checkpoint - learn the material offline! ocdevel.com/mlg/17 for notes and resources by Machine Learning Guide
8 min listen
010 Languages & Frameworks: Languages & frameworks comparison. Languages: Python, R, MATLAB/Octave, Julia, Java/Scala, C/C++. Frameworks: Hadoop/Spark, Deeplearning4J, Theano, Torch, TensorFlow. ocdevel.com/mlg/10 for notes and resources by Machine Learning Guide
44 min listen
014 Shallow Algos 3: Speed run of Anomaly Detection, Recommenders(Content Filtering vs Collaborative Filtering), and Markov Chain Monte Carlo (MCMC). ocdevel.com/mlg/14 for notes and resources by Machine Learning Guide
48 min listen
008 Math: Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus. ocdevel.com/mlg/8 for notes and resources by Machine Learning Guide
27 min listen
018 Natural Language Processing 1: Introduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources by Machine Learning Guide
58 min listen
022 Deep NLP 1: Recurrent Neural Networks (RNNs) and Word2Vec. ocdevel.com/mlg/22 for notes and resources by Machine Learning Guide
49 min listen
023 Deep NLP 2: RNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources by Machine Learning Guide
43 min listen
020 Natural Language Processing 3: Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/20 for notes and resources by Machine Learning Guide
41 min listen
024 Tech Stack: TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources by Machine Learning Guide
61 min listen
016 Consciousness: Can AI be conscious? ocdevel.com/mlg/16 for notes and resources by Machine Learning Guide
74 min listen
019 Natural Language Processing 2: Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/19 for notes and resources by Machine Learning Guide
66 min listen
029 Reinforcement Learning Intro: Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources. by Machine Learning Guide
43 min listen
026 Project Bitcoin Trader: Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources by Machine Learning Guide
38 min listen
028 Hyperparameters 2: Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources by Machine Learning Guide
51 min listen
025 Convolutional Neural Networks: Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources by Machine Learning Guide
44 min listen
MLA 006 Salary: Salary based on location, gender, age, tech... from O'Reilly. by Machine Learning Guide
19 min listen
MLA 001 Certificates & Degrees: Reboot on the MLG episode, with more confident recommends. by Machine Learning Guide
11 min listen
MLA 009 Charting tools: matplotlib, Seaborn, Bokeh, D3, Tableau, Power BI, QlikView, Excel by Machine Learning Guide
24 min listen
MLA 002 Numpy & Pandas: Some numerical data nitty-gritty in Python. by Machine Learning Guide
17 min listen

More Episodes from Machine Learning Guide

Skip carousel

MLA 021 Databricks: Discussing Databricks with Ming Chang from (part of ) by Machine Learning Guide
26 min listen
MLA 020 Kubeflow: Conversation with Dirk-Jan Kubeflow (vs cloud native solutions like SageMaker) - Data Scientist at Dept Agency . (From the website:) The Machine Learning Toolkit for Kubernetes. The Kubeflow project is dedicated to making deployments of... by Machine Learning Guide
68 min listen
MLA 019 DevOps by Machine Learning Guide
75 min listen
MLA 018 Descript: (Optional episode) just showcasing a cool application using machine learning Dept uses Descript for some of their podcasting. I'm using it like a maniac, I think they're surprised at how into it I am. Check out the transcript & see how it... by Machine Learning Guide
6 min listen
MLA 017 AWS Local Development: Show notes: Developing on AWS first (SageMaker or other) Consider developing against AWS as your local development environment, rather than only your cloud deployment environment. Solutions: Stick to AWS Cloud IDEs (, , Connect... by Machine Learning Guide
64 min listen
MLA 016 SageMaker 2: Part 2 of deploying your ML models to the cloud with SageMaker (MLOps) MLOps is deploying your ML models to the cloud. See for an overview of tooling (also generally a great ML educational run-down.) by Machine Learning Guide
60 min listen
MLA 015 SageMaker 1: Part 1 of deploying your ML models to the cloud with SageMaker (MLOps) MLOps is deploying your ML models to the cloud. See for an overview of tooling (also generally a great ML educational run-down.) And I forgot to... by Machine Learning Guide
47 min listen
MLA 014 Machine Learning Server: Server-side ML. Training & hosting for inference, with a goal towards serverless. AWS SageMaker, Batch, Lambda, EFS, Cortex.dev by Machine Learning Guide
52 min listen
MLA 013 Customer Facing Tech Stack: Client, server, database, etc. by Machine Learning Guide
47 min listen
MLA 012 Docker: Use Docker for env setup on localhost & cloud deployment, instead of pyenv / Anaconda. I recommend Windows for your desktop. by Machine Learning Guide
31 min listen
032 Cartesian Similarity Metrics: L1/L2 norm, Manhattan, Euclidean, cosine distances, dot product by Machine Learning Guide
42 min listen
MLA 011 Practical Clustering: Kmeans (sklearn vs FAISS), finding n_clusters via inertia/silhouette, Agglomorative, DBSCAN/HDBSCAN by Machine Learning Guide
34 min listen
MLA 010 NLP packages: transformers, spaCy, Gensim, NLTK: NLTK: swiss army knife. Gensim: LDA topic modeling, n-grams. spaCy: linguistics. transformers: high-level business NLP tasks. by Machine Learning Guide
26 min listen
MLA 009 Charting tools: matplotlib, Seaborn, Bokeh, D3, Tableau, Power BI, QlikView, Excel by Machine Learning Guide
24 min listen
MLA 008 Exploratory Data Analysis: EDA + charting. DataFrame info/describe, imputing strategies. Useful charts like histograms and correlation matrices. by Machine Learning Guide
24 min listen
MLA 007 Jupyter Notebooks: Run your code + visualizations in the browser: iPython / Jupyter Notebooks. by Machine Learning Guide
16 min listen
MLA 006 Salary: Salary based on location, gender, age, tech... from O'Reilly. by Machine Learning Guide
19 min listen
MLA 005 Shapes & Sizes: Dimensions, size, and shape of Numpy ndarrays / TensorFlow tensors, and methods for transforming those. by Machine Learning Guide
26 min listen
MLA 002 Numpy & Pandas: Some numerical data nitty-gritty in Python. by Machine Learning Guide
17 min listen
MLA 001 Certificates & Degrees: Reboot on the MLG episode, with more confident recommends. by Machine Learning Guide
11 min listen
029 Reinforcement Learning Intro: Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources. by Machine Learning Guide
43 min listen
028 Hyperparameters 2: Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources by Machine Learning Guide
51 min listen
027 Hyperparameters 1: Hyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources by Machine Learning Guide
47 min listen
026 Project Bitcoin Trader: Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources by Machine Learning Guide
38 min listen
025 Convolutional Neural Networks: Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources by Machine Learning Guide
44 min listen
024 Tech Stack: TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources by Machine Learning Guide
61 min listen
023 Deep NLP 2: RNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources by Machine Learning Guide
43 min listen

Discover this podcast and so much more

MLA 003 Storage: HDF, Pickle, Postgres

MLA 003 Storage: HDF, Pickle, Postgres

Description

Titles in the series (48)

More Episodes from Machine Learning Guide