- Top June Stories: How Much Math do you need in Data Science? Easy Speech-to-Text with Python
- Jul 10, 2020.
Also: Deep Neural Networks and the Jennifer Aniston Neuron; Don't Democratize Data Science.
Tags: Top stories
- Deep Learning in Finance: Is This The Future of the Financial Industry?
- Jul 10, 2020.
Get a handle on how deep learning is affecting the finance industry, and identify resources to further this understanding and increase your knowledge of the various aspects.
Tags: Deep Learning, Finance
- What every Data Scientist needs to learn from Business Leaders
- Jul 10, 2020.
You've learned so much to become a Data Scientist. Now, it's time to kick it up to the next level with advanced soft skills -- because these are important to the business for which you empower to make better decisions. Learning from the business leaders you support will help you develop a broader set of enhanced skills that will boost your Data Science quality and output.
Tags: Advice, Business, Data Scientist
- Why Learn Python? Here Are 8 Data-Driven Reasons
- Jul 10, 2020.
Through this blog, I will list out the major reasons why you should learn Python and the 8 major data-driven reasons for learning it.
Tags: Data Science, Programming, Programming Languages, Python
- 5 Things You Don’t Know About PyCaret
- Jul 9, 2020.
In comparison with the other open source machine learning libraries, PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with a few words only.
Tags: Machine Learning, PyCaret, Python
- Understanding Time Series with R
- Jul 9, 2020.
Analyzing time series is such a useful resource for essentially any business, data scientists entering the field should bring with them a solid foundation in the technique. Here, we decompose the logical components of a time series using R to better understand how each plays a role in this type of analysis.
Tags: Beginners, Business Analytics, Data Analysis, R, Time Series
- Learn Python, ML, Deep Learning, Data Visualization and more in Italy with BIG DIVE
- Jul 9, 2020.
Do you want to learn or upgrade your data data proficiency and push your career forward? This year, under the umbrella of BIG DIVE, TOP-IX presents four full-time 1-week courses from beginner to advanced levels. Read more and register now.
Tags: Courses, Deep Learning, Italy, Python
- Pull and Analyze Financial Data Using a Simple Python Package
- Jul 9, 2020.
We demonstrate a simple Python script/package to help you pull financial data (all the important metrics and ratios that you can think of) and plot them.
Tags: Finance, Pandas, Python
- Top KDnuggets tweets, Jul 01-07: Top 20 Latest Research Problems in #BigData and #DataScience
- Jul 8, 2020.
Also: 5 Ways to Detect #Outliers That Every #DataScientist Should Know #Python Code; The State of AI and Machine Learning 2020 - Just Released; Top 20 Latest Research Problems in #BigData and #DataScience; Python Libraries for Interpretable #MachineLearning #KDN
Tags: Top tweets
- Math for Programmers
- Jul 8, 2020.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
Tags: Book, Manning, Mathematics, Programming
- Spam Filter in Python: Naive Bayes from Scratch
- Jul 8, 2020.
In this blog post, learn how to build a spam filter using Python and the multinomial Naive Bayes algorithm, with a goal of classifying messages with a greater than 80% accuracy.
Tags: Classification, Naive Bayes, Python, Text Classification
- 5 Innovative AI Software Companies You Should Know
- Jul 8, 2020.
While machine learning is impacting organizations around the world, some are driving forward the real-world applications of innovative AI. Check out these interesting companies to watch for exciting new progress this year.
Tags: AI, Companies, Software, Startups
- Free MIT Courses on Calculus: The Key to Understanding Deep Learning
- Jul 8, 2020.
Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.
Tags: Deep Learning, Free ebook, MIT, Neural Networks
- Some Things Uber Learned from Running Machine Learning at Scale
- Jul 7, 2020.
Uber machine learning runtime Michelangelo has been in operation for a few years. What has the Uber team learned?
Tags: Machine Learning, Scalability, Uber
- A Complete Guide To Survival Analysis In Python, part 1
- Jul 7, 2020.
This three-part series covers a review with step-by-step explanations and code for how to perform statistical survival analysis used to investigate the time some event takes to occur, such as patient survival during the COVID-19 pandemic, the time to failure of engineering products, or even the time to closing a sale after an initial customer contact.
Tags: Python, Statistics, Survival Analysis
- 5th International Summer School 2020 on Resource-aware Machine Learning (REAML)
- Jul 7, 2020.
The Resource-aware Machine Learning summer school provides lectures on the latest research in machine learning, with the twist on resource consumption and how these can be reduced. This year it will be held online between 31st of August and 4th of September, and is free of charge. Register now.
Tags: Machine Learning, Online Education, Resource-aware, Summer School, TU Dortmund
- PyTorch for Deep Learning: The Free eBook
- Jul 7, 2020.
For this week's free eBook, check out the newly released Deep Learning with PyTorch from Manning, made freely available via PyTorch's website for a limited time. Grab it now!
Tags: Deep Learning, Free ebook, Neural Networks, PyTorch
- Scope and Impact of AI in Agriculture
- Jul 6, 2020.
The major advantage of focusing on AI-based methods is that they tackle each of the challenges faced by farmers from seed sowing to harvesting of crops separately and rather than generalising, provide customised solutions to a specific problem.
Tags: Agriculture, AI
- Top Stories, Jun 29 – Jul 5: Speed up your Numpy and Pandas with NumExpr Package; Deploy Machine Learning Pipeline on AWS Fargate
- Jul 6, 2020.
Also: Getting Started with TensorFlow 2; An Introduction to Statistical Learning: The Free eBook; How Much Math do you need in Data Science?; Data Cleaning: The secret ingredient to the success of any Data Science Project
Tags: Top stories
- A Layman’s Guide to Data Science. Part 3: Data Science Workflow
- Jul 6, 2020.
Learn and appreciate the typical workflow for a data science project, including data preparation (extraction, cleaning, and understanding), analysis (modeling), reflection (finding new paths), and communication of the results to others.
Tags: Beginners, Data Science, Data Workflow, Sciforce, Workflow
- Exploratory Data Analysis on Steroids
- Jul 6, 2020.
This is a central aspect of Data Science, which sometimes gets overlooked. The first step of anything you do should be to know your data: understand it, get familiar with it. This concept gets even more important as you increase your data volume: imagine trying to parse through thousands or millions of registers and make sense out of them.
Tags: Data Analysis, Data Exploration, Data Preparation, Pandas, Python
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Deploy Machine Learning Pipeline on AWS Fargate
- Jul 3, 2020.
A step-by-step beginner’s guide to containerize and deploy ML pipeline serverless on AWS Fargate.
Tags: AWS, Docker, Kubernetes, Machine Learning, Pipeline, PyCaret
- Generating cooking recipes using TensorFlow and LSTM Recurrent Neural Network: A step-by-step guide
- Jul 3, 2020.
A character-level LSTM (Long short-term memory) RNN (Recurrent Neural Network) is trained on ~100k recipes dataset using TensorFlow. The model suggested the recipes "Cream Soda with Onions", "Puff Pastry Strawberry Soup", "Zucchini flavor Tea", and "Salmon Mousse of Beef and Stilton Salad with Jalapenos". Yum!? Follow along this detailed guide with code to create your own recipe-generating chef.
Tags: Cooking, Deep Learning, Humor, LSTM, Natural Language Generation, TensorFlow
- Data Scientists Have Developed a Faster Way to Reduce Pollution, Cut Greenhouse Gas Emissions
- Jul 3, 2020.
Data science is helping with one of the world's most pressing issues. Read about an approach and specific steps being taken by data scientists to quickly reduce pollution and greenhouse gas emissions.
Tags: Data Science, Data Scientist, Environment
- Feature Engineering in SQL and Python: A Hybrid Approach
- Jul 2, 2020.
Set up your workstation, reduce workplace clutter, maintain a clean namespace, and effortlessly keep your dataset up-to-date.
Tags: Feature Engineering, Python, SQL
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Getting Started with TensorFlow 2
- Jul 2, 2020.
Learn about the latest version of TensorFlow with this hands-on walk-through of implementing a classification problem with deep learning, how to plot it, and how to improve its results.
Tags: Advice, Beginners, Deep Learning, Python, Regularization, TensorFlow
- PyTorch Multi-GPU Metrics Library and More in New PyTorch Lightning Release
- Jul 2, 2020.
PyTorch Lightning, a very light-weight structure for PyTorch, recently released version 0.8.1, a major milestone. With incredible user adoption and growth, they are continuing to build tools to easily do AI research.
Tags: GPU, Metrics, Python, PyTorch
- Speed up your Numpy and Pandas with NumExpr Package
- Jul 1, 2020.
We show how to significantly speed up your mathematical calculations in Numpy and Pandas using a small library.
Tags: numpy, Pandas, Python
- Largest Dataset Analyzed – Poll Results and Trends
- Jul 1, 2020.
The results show that despite the deluge of Big Data, large majority still works in Gigabyte or Megabyte-size datasets. Data Scientists work with the largest-size datasets, followed by Data Engineers, Data Analysts, and Business Analysts. Read more for details.
Tags: Data Scientist, Dataset, Largest, Poll, Trends
- How to Build Your Data Science Competency for Post-COVID Future
- Jul 1, 2020.
Data science is helping healthcare organizations and businesses navigate the current crisis more effectively. Find out how you can learn this in-demand qualification and help them with addressing complex challenges.
Tags: Advice, Career, Covid-19, Data Science Skills, Healthcare
- Data Cleaning: The secret ingredient to the success of any Data Science Project
- Jul 1, 2020.
With an uncleaned dataset, no matter what type of algorithm you try, you will never get accurate results. That is why data scientists spend a considerable amount of time on data cleaning.
Tags: Data Cleaning, Data Preparation, Data Science, Outliers, Python
Jun