Search results for deep learning

Found 2819 documents, 5946 searched:

• The Rise of Vector Data

  Embedding models convert raw data such as text, images, audio, logs, and videos into vector embeddings (“vectors”) to be used for predictions, comparisons, and other cognitive-like functions.

  https://www.kdnuggets.com/2021/05/pinecone-rise-vector-data.html

• Building RESTful APIs using Flask

  Learn about using the lightweight web framework in Python from this article.

  https://www.kdnuggets.com/2021/05/building-restful-apis-flask.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

  https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

• A checklist to track your Data Science progress">A checklist to track your Data Science progress

  Whether you are just starting out in data science or already a gainfully-employed professional, always learning more to advance through state-of-the-art techniques is part of the adventure. But, it can be challenging to track of your progress and keep an eye on what's next. Follow this checklist to help you scale your expertise from entry-level to advanced.

  https://www.kdnuggets.com/2021/05/checklist-data-science-progress.html

• Machine Translation in a Nutshell

  Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California for a snapshot of machine translation. Dr. Farzindar also provided the original art for this article.

  https://www.kdnuggets.com/2021/05/machine-translation-nutshell.html

• What Makes AI Trustworthy?

  This blog pertains to the importance of why AI needs to be trustworthy as well as what makes it trustworthy. AI predictions/suggestions should not just be taken at face value, but rather delved into at a deeper level. We need to understand how an AI system makes its predictions to put our trust in it. Trust should not be built on prediction accuracy alone.

  https://www.kdnuggets.com/2021/05/what-makes-ai-trustworthy.html

• What is Neural Search?

  And how to get started with it with no prior experience in Machine Learning.

  https://www.kdnuggets.com/2021/05/what-neural-search.html

• Learn Neural Networks for Natural Language Processing Now

  Still haven't come across enough quality contemporary natural language processing resources? Here is yet another freely-accessible offering from a top-notch university that might help quench your thirst for learning materials.

  https://www.kdnuggets.com/2021/04/learn-neural-networks-natural-language-processing-now.html

• Why You Should Consider Being a Data Engineer Instead of a Data Scientist">Why You Should Consider Being a Data Engineer Instead of a Data Scientist

  A new king of the jungle has emerged.

  https://www.kdnuggets.com/2021/04/consider-being-data-engineer-instead-data-scientist.html

• Data Science Books You Should Start Reading in 2021">Data Science Books You Should Start Reading in 2021

  Check out this curated list of the best data science books for any level.

  https://www.kdnuggets.com/2021/04/data-science-books-start-reading-2021.html

• Time Series Forecasting with PyCaret Regression Module

  PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only. See how to use PyCaret's Regression Module for Time Series Forecasting.

  https://www.kdnuggets.com/2021/04/time-series-forecasting-pycaret-regression-module.html

• Data Analysis Using Tableau

  Read this overview of using Tableau for sale data analysis, and see how visualization can help tell the business story.

  https://www.kdnuggets.com/2021/04/data-analysis-using-tableau.html

• Data Science 101: Normalization, Standardization, and Regularization

  Normalization, standardization, and regularization all sound similar. However, each plays a unique role in your data preparation and model building process, so you must know when and how to use these important procedures.

  https://www.kdnuggets.com/2021/04/data-science-101-normalization-standardization-regularization.html

• The Most In-Demand Skills for Data Scientists in 2021">The Most In-Demand Skills for Data Scientists in 2021

  If you are preparing to make a career as a Data Scientist or are looking for opportunities to skill-up in your current role, this analysis of in-demand skills for 2021, based on over 15,000 Data Scientist job postings, should offer you a good idea as to which programming languages and software tools are increasing and decreasing in importance.

  https://www.kdnuggets.com/2021/04/most-demand-skills-data-scientists.html

• 7 Must-Haves in your Data Science CV

  If you are looking for a new role as a Data Scientist -- either as a first job fresh out of school, a career change, or a shift to another organization -- then check off as many of these critical points as possible to stand out in the crowd and pass the hiring manager's initial CV screen.

  https://www.kdnuggets.com/2021/04/7-must-haves-data-science-cv.html

• E-commerce Data Analysis for Sales Strategy Using Python

  Check out this informative and concise case study applying data analysis using Python to a well-defined e-commerce scenario.

  https://www.kdnuggets.com/2021/04/e-commerce-data-analysis-sales-strategy-python.html

• Working With Time Series Using SQL">Working With Time Series Using SQL

  This article is an overview of using SQL to manipulate time series data.

  https://www.kdnuggets.com/2021/04/time-series-using-sql.html

• 3 More Free Top Notch Natural Language Processing Courses

  Are you looking to continue your learning of natural language processing? This small collection of 3 free top notch courses will allow you to do just that.

  https://www.kdnuggets.com/2021/03/3-more-free-nlp-courses.html

• Overview of MLOps

  Building a machine learning model is great, but to provide real business value, it must be made useful and maintained to remain useful over time. Machine Learning Operations (MLOps), overviewed here, is a rapidly growing space that encompasses everything required to deploy a machine learning model into production, and is a crucial aspect to delivering this sought after value.

  https://www.kdnuggets.com/2021/03/overview-mlops.html

• Multilingual CLIP with Huggingface + PyTorch Lightning

  An overview of training OpenAI's CLIP on Google Colab.

  https://www.kdnuggets.com/2021/03/multilingual-clip--huggingface-pytorch-lightning.html

• Data Science Curriculum for Professionals

  If you are looking to expand or transition your current professional career that is buried in spreadsheet analysis into one powered by data science, then you are in for an exciting but complex journey with much to explore and master. To begin your adventure, following this complete road map to guide you from a gnome in the forest of spreadsheets to an AI wizard known far and wide throughout the kingdom.

  https://www.kdnuggets.com/2021/03/data-science-curriculum-professionals.html

• Top 10 Python Libraries Data Scientists should know in 2021">Top 10 Python Libraries Data Scientists should know in 2021

  So many Python libraries exist that offer powerful and efficient foundations for supporting your data science work and machine learning model development. While the list may seem overwhelming, there are certain libraries you should focus your time on, as they are some of the most commonly used today.

  https://www.kdnuggets.com/2021/03/top-10-python-libraries-2021.html

• How to Succeed in Becoming a Freelance Data Scientist">How to Succeed in Becoming a Freelance Data Scientist

  With recent growth in data science, now is the best time to get into freelancing. The following steps will help you get started with finding clients or help you improve your current strategy.

  https://www.kdnuggets.com/2021/03/succeed-becoming-freelance-data-scientist.html

• How to frame the right questions to be answered using data

  Understanding your data first is a key step before going too far into any data science project. But, you can't fully understand your data until you know the right questions to ask of it.

  https://www.kdnuggets.com/2021/03/right-questions-answered-using-data.html

• Metric Matters, Part 1: Evaluating Classification Models

  You have many options when choosing metrics for evaluating your machine learning models. Select the right one for your situation with this guide that considers metrics for classification models.

  https://www.kdnuggets.com/2021/03/metrics-evaluating-classification-models-part1.html

• Kedro-Airflow: Orchestrating Kedro Pipelines with Airflow

  The Kedro team and Astronomer have released Kedro-Airflow 0.4.0 to help you develop modular, maintainable & reproducible code with orchestration superpowers!

  https://www.kdnuggets.com/2021/03/kedro-airflow-orchestrating-pipelines.html

• Reducing the High Cost of Training NLP Models With SRU++

  The increasing computation time and costs of training natural language models (NLP) highlight the importance of inventing computationally efficient models that retain top modeling power with reduced or accelerated computation. A single experiment training a top-performing language model on the 'Billion Word' benchmark would take 384 GPU days and as much as $36,000 using AWS on-demand instances.

  https://www.kdnuggets.com/2021/03/reducing-high-cost-training-nlp-models-sru.html

• Evaluating Object Detection Models Using Mean Average Precision

  In this article we will see see how precision and recall are used to calculate the Mean Average Precision (mAP).

  https://www.kdnuggets.com/2021/03/evaluating-object-detection-models-using-mean-average-precision.html

• The Ultimate Guide to Acing Coding Interviews for Data Scientists">The Ultimate Guide to Acing Coding Interviews for Data Scientists

  This article covers understanding the 4 types of coding interview questions and preparing for them effectively.

  https://www.kdnuggets.com/2021/03/ultimate-guide-acing-coding-interviews-data-scientists.html

• Google’s Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks">Google’s Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks

  The new framework brings state-of-the-art neural architecture search methods to TensorFlow.

  https://www.kdnuggets.com/2021/03/google-model-search-open-source-framework.html

• Top YouTube Channels for Data Science">Top YouTube Channels for Data Science

  Have a look at the top 15 YouTube channels for data science by number of subscribers, along with some additional data on the channels to help you decide if they may have some content useful for you.

  https://www.kdnuggets.com/2021/03/top-youtube-channels-data-science.html

• How Reading Papers Helps You Be a More Effective Data Scientist"> How Reading Papers Helps You Be a More Effective Data Scientist

  By reading papers, we were able to learn what others (e.g., LinkedIn) have found to work (and not work). We can then adapt their approach and not have to reinvent the rocket. This helps us deliver a working solution with lesser time and effort.

  https://www.kdnuggets.com/2021/02/reading-papers-effective-data-scientist.html

• Pandas Profiling: One-Line Magical Code for EDA

  EDA can be automated using a Python library called Pandas Profiling. Let’s explore Pandas profiling to do EDA in a very short time and with just a single line code.

  https://www.kdnuggets.com/2021/02/pandas-profiling-one-line-magical-code-eda.html

• Cartoon: Data Scientist vs Data Engineer">Cartoon: Data Scientist vs Data Engineer

  New KDnuggets Cartoon examines the problems of Data Scientists vs Data Engineers.

  https://www.kdnuggets.com/2021/02/cartoon-data-scientist-vs-data-engineer.html

• Multidimensional multi-sensor time-series data analysis framework

  This blog post provides an overview of the package “msda” useful for time-series sensor data analysis. A quick introduction about time-series data is also provided.

  https://www.kdnuggets.com/2021/02/multidimensional-multi-sensor-time-series-data-analysis-framework.html

• 6 Data Science Certificates To Level Up Your Career

  Anyone looking to obtain a data science certificate to prove their ability in the field will find a range of options exist. We review several valuable certificates to consider that will definitely pump up your resume and portfolio to get you closer to your dream job.

  https://www.kdnuggets.com/2021/02/6-data-science-certificates.html

• GPT-2 vs GPT-3: The OpenAI Showdown

  Thanks to the diversity of the dataset used in the training process, we can obtain adequate text generation for text from a variety of domains. GPT-2 is 10x the parameters and 10x the data of its predecessor GPT.

  https://www.kdnuggets.com/2021/02/gpt2-gpt3-openai-showdown.html

• 10 resources for data science self-study

  Many resources exist for the self-study of data science. In our modern age of information technology, an enormous amount of free learning resources are available to anyone, and with effort and dedication, you can master the fundamentals of data science.

  https://www.kdnuggets.com/2021/02/10-resources-data-science-self-study.html

• Hugging Face Transformers Package – What Is It and How To Use It

  The rapid development of Transformers have brought a new wave of powerful tools to natural language processing. These models are large and very expensive to train, so pre-trained versions are shared and leveraged by researchers and practitioners. Hugging Face offers a wide variety of pre-trained transformers as open-source libraries, and you can incorporate these with only one line of code.

  https://www.kdnuggets.com/2021/02/hugging-face-transformer-basics.html

• Essential Math for Data Science: Scalars and Vectors

  Linear algebra is the branch of mathematics that studies vector spaces. You’ll see how vectors constitute vector spaces and how linear algebra applies linear transformations to these spaces. You’ll also learn the powerful relationship between sets of linear equations and vector equations.

  https://www.kdnuggets.com/2021/02/essential-math-data-science-scalars-vectors.html

• 7 Most Recommended Skills to Learn to be a Data Scientist

  The Data Scientist professional has emerged as a true interdisciplinary role that spans a variety of skills, theoretical and practical. For the core, day-to-day activities, many critical requirements that enable the delivery of real business value reach well outside the realm of machine learning, and should be mastered by those aspiring to the field.

  https://www.kdnuggets.com/2021/02/7-most-recommended-skills-data-scientist.html

• Who is fit to lead data science?

  Data science success depends on leaders, not the latest hands-on programming skills. So, we need to start looking for the right leadership skills and stop stuffing job postings with requirements for experience in the most current development tools.

  https://www.kdnuggets.com/2021/02/fit-lead-data-science.html

• Adversarial Attacks on Explainable AI

  Are explainability methods black-box themselves?

  https://www.kdnuggets.com/2021/02/adversarial-attacks-explainable-ai.html

• Essential Math for Data Science: Introduction to Matrices and the Matrix Product">Essential Math for Data Science: Introduction to Matrices and the Matrix Product

  As vectors, matrices are data structures allowing you to organize numbers. They are square or rectangular arrays containing values organized in two dimensions: as rows and columns. You can think of them as a spreadsheet. Learn more here.

  https://www.kdnuggets.com/2021/02/essential-math-data-science-matrices-matrix-product.html

• Build Your First Data Science Application">Build Your First Data Science Application

  Check out these seven Python libraries to make your first data science MVP application.

  https://www.kdnuggets.com/2021/02/build-first-data-science-application.html

• Getting Started with 5 Essential Natural Language Processing Libraries">Getting Started with 5 Essential Natural Language Processing Libraries

  This article is an overview of how to get started with 5 popular Python NLP libraries, from those for linguistic data visualization, to data preprocessing, to multi-task functionality, to state of the art language modeling, and beyond.

  https://www.kdnuggets.com/2021/02/getting-started-5-essential-nlp-libraries.html

• Saving and loading models in TensorFlow — why it is important and how to do it

  So much time and effort can go into training your machine learning models. But, shut down the notebook or system, and all those trained weights and more vanish with the memory flush. Saving your models to maximize reusability is key for efficient productivity.

  https://www.kdnuggets.com/2021/02/saving-loading-models-tensorflow.html

• Adversarial generation of extreme samples

  In order to mitigate risks when modelling extreme events, it is vital to be able to generate a wide range of extreme, and realistic, scenarios. Researchers from the National University of Singapore and IIT Bombay have developed an approach to do just that.

  https://www.kdnuggets.com/2021/02/adversarial-generation-extreme-samples.html

• Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality

  Why do we hear so little about transformer models applied to computer vision tasks? What about attention in computer vision networks?

  https://www.kdnuggets.com/2021/02/vision-transformers-nlp-efficiency-model-generality.html

• Baidu Research: 10 Technology Trends in 2021

  Understanding future technology trends may never have been as important as it is today. Check out the prediction of the 10 technology trends in 2021 from Baidu Research.

  https://www.kdnuggets.com/2021/01/top-10-technology-trends-2021.html

• What is Graph Theory, and Why Should You Care?

  Go from graph theory to path optimization.

  https://www.kdnuggets.com/2021/01/graph-theory-why-care.html

• Working With The Lambda Layer in Keras

  In this tutorial we'll cover how to use the Lambda layer in Keras to build, save, and load models which perform custom operations on your data.

  https://www.kdnuggets.com/2021/01/working-lambda-layer-keras.html

• Is M.Tech in Data Science Worth It?

  Is M.Tech in Data Science worth it or should you learn using just online courses and projects. Let's try to find the answer to that question.

  https://www.kdnuggets.com/2021/01/greatlearning-mtech-data-science.html

• Build a Data Science Portfolio that Stands Out Using These Platforms">Build a Data Science Portfolio that Stands Out Using These Platforms

  Making your big break into the data science profession means standing out to potential employers in a crowd of tough competition. An important way to showcase your skills and experience is through the presentation of a portfolio. Following these recommendations for developing your portfolio will help you network effectively and stay on top of an ever-changing field.

  https://www.kdnuggets.com/2021/01/build-data-science-portfolio.html

• Essential Math for Data Science: Information Theory">Essential Math for Data Science: Information Theory

  In the context of machine learning, some of the concepts of information theory are used to characterize or compare probability distributions. Read up on the underlying math to gain a solid understanding of relevant aspects of information theory.

  https://www.kdnuggets.com/2021/01/essential-math-data-science-information-theory.html

• The Best Tool for Data Blending is KNIME

  These are the lessons and best practices I learned in many years of experience in data blending, and the software that became my most important tool in my day-to-day work.

  https://www.kdnuggets.com/2021/01/best-tool-data-blending-knime.html

• OpenAI Releases Two Transformer Models that Magically Link Language and Computer Vision

  OpenAI has released two new transformer architectures that combine image and language tasks in an fun and almost magical way. Read more about them here.

  https://www.kdnuggets.com/2021/01/openai-transformer-models-link-language-computer-vision.html

• Best Python IDEs and Code Editors You Should Know">Best Python IDEs and Code Editors You Should Know

  Developing machine learning algorithms requires implementing countless libraries and integrating many supporting tools and software packages. All this magic must be written by you in yet another tool -- the IDE -- that is fundamental to all your code work and can drive your productivity. These top Python IDEs and code editors are among the best tools available for you to consider, and are reviewed with their noteworthy features.

  https://www.kdnuggets.com/2021/01/best-python-ide-code-editors.html

• Top 10 Computer Vision Papers 2020">Top 10 Computer Vision Papers 2020

  The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.

  https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html

• 11 Industrial AI Trends that will Dominate the World in 2021

  These trends broadly cover the three themes of: Where will businesses adopt AI in 2021? How will AI become more accessible? How will AI capabilities evolve?

  https://www.kdnuggets.com/2021/01/11-industrial-ai-trends-dominate-2021.html

• Learn Data Science for free in 2021">Learn Data Science for free in 2021

  If you are considering starting a career path in machine learning and data science, then there is a great deal to learn theoretically, along with gaining practical skills in applying a broad range of techniques. This comprehensive learning plan will guide you to start on this path, and it is all available for free.

  https://www.kdnuggets.com/2021/01/learn-data-science-free-2021.html

• Generating Beautiful Neural Network Visualizations">Generating Beautiful Neural Network Visualizations

  If you are looking to easily generate visualizations of neural network architectures, PlotNeuralNet is a project you should check out.

  https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html

• Essential Math for Data Science: The Poisson Distribution

  The Poisson distribution, named after the French mathematician Denis Simon Poisson, is a discrete distribution function describing the probability that an event will occur a certain number of times in a fixed time (or space) interval.

  https://www.kdnuggets.com/2020/12/introduction-poisson-distribution-data-science.html

• 2020: A Year Full of Amazing AI Papers — A Review

  So much happened in the world during 2020 that it may have been easy to miss the great progress in the world of AI. To catch you up quickly, check out this curated list of the latest breakthroughs in AI by release date, along with a video explanation, link to an in-depth article, and code.

  https://www.kdnuggets.com/2020/12/2020-amazing-ai-papers.html

• Optimization Algorithms in Neural Networks">Optimization Algorithms in Neural Networks

  This article presents an overview of some of the most used optimizers while training a neural network.

  https://www.kdnuggets.com/2020/12/optimization-algorithms-neural-networks.html

• 5 Free Books to Learn Statistics for Data Science

  Learn all the statistics you need for data science for free.

  https://www.kdnuggets.com/2020/12/5-free-books-learn-statistics-data-science.html

• Essential Math for Data Science: Probability Density and Probability Mass Functions

  In this article, we’ll cover probability mass and probability density function in this sample. You’ll see how to understand and represent these distribution functions and their link with histograms.

  https://www.kdnuggets.com/2020/12/essential-math-data-science-probability-density-probability-mass-functions.html

• Change the Background of Any Video with 5 Lines of Code

  Learn to blur, color, grayscale and create a virtual background for a video with PixelLib.

  https://www.kdnuggets.com/2020/12/change-background-video-5-lines-code.html

• Building AI Models for High-Frequency Streaming Data

  This post is the first in a two-part series on AI for streaming data. Here, we’ll walk through strategies for aligning times and resampling the data.

  https://www.kdnuggets.com/2020/12/mathworks-ai-models-high-frequency-streaming-data.html

• Remembering Pluribus: The Techniques that Facebook Used to Master World’s Most Difficult Poker Game

  Pluribus used incredibly simple AI methods to set new records in six-player no-limit Texas Hold’em poker. How did it do it?

  https://www.kdnuggets.com/2020/12/remembering-pluribus-facebook-master-difficult-poker-game.html

• Deploying Trained Models to Production with TensorFlow Serving

  TensorFlow provides a way to move a trained model to a production environment for deployment with minimal effort. In this article, we’ll use a pre-trained model, save it, and serve it using TensorFlow Serving.

  https://www.kdnuggets.com/2020/11/serving-tensorflow-models.html

• Data Science History and Overview

  In this era of big data that is only getting bigger, a huge amount of information from different fields is gathered and stored. Its analysis and extraction of value have become one of the most attractive tasks for companies and society in general, which is harnessed by the new professional role of the Data Scientist.

  https://www.kdnuggets.com/2020/11/data-science-history-overview.html

• A Friendly Introduction to Graph Neural Networks

  Despite being what can be a confusing topic, graph neural networks can be distilled into just a handful of simple concepts. Read on to find out more.

  https://www.kdnuggets.com/2020/11/friendly-introduction-graph-neural-networks.html

• The 4 Stages of Being Data-driven for Real-life Businesses

  Building a new company or transforming an existing one into a data-driven enterprise is a growing process through multiple stages that takes time. The challenge is progressing into the next stage and, having attained the goal, maintaining a company culture that can remain there.

  https://www.kdnuggets.com/2020/11/4-stages-data-driven-business.html

• Essential Math for Data Science: Integrals And Area Under The Curve

  In this article, you’ll learn about integrals and the area under the curve using the practical data science example of the area under the ROC curve used to compare the performances of two machine learning models.

  https://www.kdnuggets.com/2020/11/essential-math-data-science-integrals-area-under-curve.html

• How to Incorporate Tabular Data with HuggingFace Transformers

  In real-world scenarios, we often encounter data that includes text and tabular features. Leveraging the latest advances for transformers, effectively handling situations with both data structures can increase performance in your models.

  https://www.kdnuggets.com/2020/11/tabular-data-huggingface-transformers.html

• Simple Python Package for Comparing, Plotting & Evaluating Regression Models

  This package is aimed to help users plot the evaluation metric graph with single line code for different widely used regression model metrics comparing them at a glance. With this utility package, it also significantly lowers the barrier for the practitioners to evaluate the different machine learning algorithms in an amateur fashion by applying it to their everyday predictive regression problems.

  https://www.kdnuggets.com/2020/11/simple-python-package-comparing-plotting-evaluating-regression-models.html

• 15 Exciting AI Project Ideas for Beginners">15 Exciting AI Project Ideas for Beginners

  There are many branches to AI to learn, but a project-based approach can keep things interesting. Here is a list of 15 such projects you can get started on implementing today.

  https://www.kdnuggets.com/2020/11/greatlearning-ai-project-ideas-beginners.html

• Compute Goes Brrr: Revisiting Sutton’s Bitter Lesson for AI

  "It's just about having more compute." Wait, is that really all there is to AI? As Richard Sutton's 'bitter lesson' sinks in for more AI researchers, a debate has stirred that considers a potentially more subtle relationship between advancements in AI based on ever-more-clever algorithms and massively scaled computational power.

  https://www.kdnuggets.com/2020/11/revisiting-sutton-bitter-lesson-ai.html

• AI Is More Than a Model: Four Steps to Complete Workflow Success

  The key element for success in practical AI implementation is uncovering any issues early on and knowing what aspects of the workflow to focus time and resources on for the best results—and it’s not always the most obvious steps.

  https://www.kdnuggets.com/2020/11/mathworks-ai-four-steps-workflow.html

• Is Data Science for Me? 14 Self-examination Questions to Consider">Is Data Science for Me? 14 Self-examination Questions to Consider

  You are intrigued by this exciting new field of Data Science, and you think you want in on the action. The demand remains very high and the salaries are strong. Before taking the leap onto this path, these questions will help you evaluate if you are ready for the challenges and opportunities.

  https://www.kdnuggets.com/2020/11/data-science-14-self-examination-questions.html

• Algorithms for Advanced Hyper-Parameter Optimization/Tuning

  In informed search, each iteration learns from the last, whereas in Grid and Random, modelling is all done at once and then the best is picked. In case for small datasets, GridSearch or RandomSearch would be fast and sufficient. AutoML approaches provide a neat solution to properly select the required hyperparameters that improve the model’s performance.

  https://www.kdnuggets.com/2020/11/algorithms-for-advanced-hyper-parameter-optimization-tuning.html

• How to Get Into Data Science Without a Degree">How to Get Into Data Science Without a Degree

  Breaking into any new field or slogging through a career change is always a challenge, and requires focus and even a little grit. While transitioning to becoming a Data Scientist is no different, aspiring to this role is possible, even without a formal post-secondary degree, largely due to the vast amount of quality learning resources available today.

  https://www.kdnuggets.com/2020/11/data-science-without-degree.html

• How to Acquire the Most Wanted Data Science Skills">How to Acquire the Most Wanted Data Science Skills

  We recently surveyed KDnuggets readers to determine the "most wanted" data science skills. Since they seem to be those most in demand from practitioners, here is a collection of resources for getting started with this learning.

  https://www.kdnuggets.com/2020/11/acquire-most-wanted-data-science-skills.html

• Mastering TensorFlow Tensors in 5 Easy Steps

  Discover how the building blocks of TensorFlow works at the lower level and learn how to make the most of Tensor objects.

  https://www.kdnuggets.com/2020/11/mastering-tensorflow-tensors-5-easy-steps.html

• Change the Background of Any Image with 5 Lines of Code

  Blur, color, grayscale and change the background of any image with a picture using PixelLib.

  https://www.kdnuggets.com/2020/11/change-background-image-5-lines-code.html

• Six Ethical Quandaries of Predictive Policing

  When predictive machine learning models are applied to real-life scenarios, especially those that directly impact humans, such as cancer detection and other medical-related applications, the risks involved with incorrect predictions carry very high stakes. These risks are also prominent in how machine learning is applied in law enforcement, and serious ethical questions must be considered.

  https://www.kdnuggets.com/2020/11/six-ethical-quandaries-predictive-policing.html

• Essential data science skills that no one talks about">Essential data science skills that no one talks about

  Old fashioned engineering skills are what you need to boost your data science career.

  https://www.kdnuggets.com/2020/11/essential-data-science-skills-no-one-talks-about.html

• Building Neural Networks with PyTorch in Google Colab">Building Neural Networks with PyTorch in Google Colab

  Combining PyTorch and Google's cloud-based Colab notebook environment can be a good solution for building neural networks with free access to GPUs. This article demonstrates how to do just that.

  https://www.kdnuggets.com/2020/10/building-neural-networks-pytorch-google-colab.html

• Explaining the Explainable AI: A 2-Stage Approach

  Understanding how to build AI models is one thing. Understanding why AI models provide the results they provide is another. Even more so, explaining any type of understanding of AI models to humans is yet another challenging layer that must be addressed if we are to develop a complete approach to Explainable AI.

  https://www.kdnuggets.com/2020/10/explaining-explainable-ai.html

• Stop Running Jupyter Notebooks From Your Command Line

  Instead, run your Jupyter Notebook as a stand alone web app.

  https://www.kdnuggets.com/2020/10/stop-running-jupyter-notebooks-command-line.html

• PerceptiLabs – A GUI and Visual API for TensorFlow">PerceptiLabs – A GUI and Visual API for TensorFlow

  Recently released PerceptiLabs 0.11, is quickly becoming the GUI and visual API for TensorFlow. PerceptiLabs is built around a sophisticated visual ML modeling editor in which you drag and drop components and connect them together to form your model, automatically creating the underlying TensorFlow code. Try it now.

  https://www.kdnuggets.com/2020/10/perceptilabs-gui-visual-api-tensorflow.html

• How to become a Data Scientist: a step-by-step guide">How to become a Data Scientist: a step-by-step guide

  Data science is everywhere. But what are the best ways to learn the field well enough to enter the profession? Read on for some tips and steps on doing so, and some great courses to help you get there.

  https://www.kdnuggets.com/2020/10/greatlearning-become-data-scientist-guide.html

• Roadmap to Computer Vision

  Read this introduction to the main steps which compose a computer vision system, starting from how images are pre-processed, features extracted and predictions are made.

  https://www.kdnuggets.com/2020/10/roadmap-computer-vision.html

• Deploying Secure and Scalable Streamlit Apps on AWS with Docker Swarm, Traefik and Keycloak

  If you are a data scientist who just wants to get the work done but doesn’t necessarily want to go down the DevOps rabbit hole, this tutorial offers a relatively straightforward deployment solution leveraging Docker Swarm and Traefik, with an option of adding user authentication with Keycloak.

  https://www.kdnuggets.com/2020/10/deploying-secure-scalable-streamlit-apps-aws-docker-swarm-traefik-keycloak.html

• Software 2.0 takes shape

  Software developers remain in very high demand as many organizations continue to experience workloads that far exceed available talent. AI-enhanced approaches that automate more areas of the software development lifecycle are in development with interesting potentials for how machine learning and natural language processing can significantly impact how software is designed, developed, tested, and deployed in the future.

  https://www.kdnuggets.com/2020/10/software-20-takes-shape.html

• The Ethics of AI

  Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about a very important subject - the ethics of AI.

  https://www.kdnuggets.com/2020/10/ethics-ai-qa-farzindar.html

• 5 Must-Read Data Science Papers (and How to Use Them)

  Keeping ahead of the latest developments in a field is key to advancing your skills and your career. Five foundational ideas from recent data science papers are highlighted here with tips on how to leverage these advancements in your work, and keep you on top of the machine learning game.

  https://www.kdnuggets.com/2020/10/5-must-read-data-science-papers.html

• Cartoon: Cloud Dating

  New KDnuggets cartoon looks at how AI can transform love and romance.

  https://www.kdnuggets.com/2020/10/cartoon-cloud-dating.html

• Optimizing the Levenshtein Distance for Measuring Text Similarity

  For speeding up the calculation of the Levenshtein distance, this tutorial works on calculating using a vector rather than a matrix, which saves a lot of time. We’ll be coding in Java for this implementation.

  https://www.kdnuggets.com/2020/10/optimizing-levenshtein-distance-measuring-text-similarity.html

• Getting Started with PyTorch

  A practical walkthrough on how to use PyTorch for data analysis and inference.

  https://www.kdnuggets.com/2020/10/getting-started-pytorch.html

• Software Engineering Tips and Best Practices for Data Science">Software Engineering Tips and Best Practices for Data Science

  Bringing your work as a Data Scientist into the real-world means transforming your experiments, test, and detailed analysis into great code that can be deployed as efficient and effective software solutions. You must learn how to enable your machine learning algorithms to integrate with IT systems by taking them out of your notebooks and delivering them to the business by following software engineering standards.

  https://www.kdnuggets.com/2020/10/software-engineering-best-practices-data-science.html

• A Guide to Preparing OpenCV for Android

  This tutorial guides Android developers in preparing the popular library OpenCV for use. Using a step-by-step guide, the library will be imported into Android Studio and then can be used for performing any of the operations it supports, such as object detection, segmentation, tracking, and more.

  https://www.kdnuggets.com/2020/10/guide-preparing-opencv-android.html

• Understanding Transformers, the Data Science Way

  Read this accessible and conversational article about understanding transformers, the data science way — by asking a lot of questions that is.

  https://www.kdnuggets.com/2020/10/understanding-transformers-data-science-way.html

• AI in Healthcare: A review of innovative startups

  The AI innovation in healthcare has been overwhelming with the Global Healthcare AI Market accounting for $0.95 billion in 2017, and is expected to reach $19.25 billion by 2026. What drives this vibrant growth?

  https://www.kdnuggets.com/2020/09/ai-healthcare-review-innovative-startups.html

• How AI is Driving Innovation in Astronomy

  In this blog, we look at a disruptive AI program - Morpheus - developed by Researchers at UC Santa Cruz that can analyze astronomical image data and classify galaxies and stars with surgical precision. If you're reading this with "starry" eyes, we bet we've got you hooked.

  https://www.kdnuggets.com/2020/09/ai-driving-innovation-astronomy.html

• The Online Courses You Must Take to be a Better Data Scientist

  These select courses have proved to be precious online resources which helped make the author a better data scientist today.

  https://www.kdnuggets.com/2020/09/online-courses-better-data-scientist.html

• Unpopular Opinion – Data Scientists Should Be More End-to-End

  Can a do-it-all Data Scientist really be more effective at delivering new value from data? While it might sound exhausting, important efficiencies can exist that might bring better value to the business even faster.

  https://www.kdnuggets.com/2020/09/data-scientists-should-be-more-end-to-end.html

• Here’s what you need to look for in a model server to build ML-powered services

  More applications are being infused with machine learning while MLOps processes and best practices are becoming well established. Critical to these software and systems are the servers that run the models, which should feature key capabilities to drive successful enterprise-scale productionizing of machine learning.

  https://www.kdnuggets.com/2020/09/model-server-build-ml-powered-services.html

• AI Papers to Read in 2020

  Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science.

  https://www.kdnuggets.com/2020/09/ai-papers-read-2020.html

• Free From MIT: Intro to Computer Science and Programming in Python">Free From MIT: Intro to Computer Science and Programming in Python

  This free introductory computer science and programming course is available via MIT's Open Courseware platform. It's a great resource for mastering the fundamentals of one of data science's major requirements.

  https://www.kdnuggets.com/2020/09/free-mit-intro-computer-science-programming-python.html

• KDnuggets™ News 20:n34, Sep 9: Top Online Data Science Masters Degrees; Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills

  Also: Creating Powerful Animated Visualizations in Tableau; PyCaret 2.1 is here: What's new?; How To Decide What Data Skills To Learn; How to Evaluate the Performance of Your Machine Learning Model

  https://www.kdnuggets.com/2020/n34.html

• Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills">Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills

  We analyze the results of the Data Science Skills poll, including 8 categories of skills, 13 core skills that over 50% of respondents have, the emerging/hot skills that data scientists want to learn, and what is the top skill that Data Scientists want to learn.

  https://www.kdnuggets.com/2020/09/modern-data-science-skills.html

• Top Stories, Aug 31 – Sep 6: Top Online Masters in Analytics, Business Analytics, Data Science – Updated

  Also: How to Evaluate the Performance of Your Machine Learning Model; Which methods should be used for solving linear regression?; A Curious Theory About the Consciousness Debate in AI; If I had to start learning Data Science again, how would I do it?; PyCaret 2.1 is here: Whats new?

  https://www.kdnuggets.com/2020/09/top-news-week-0831-0906.html

• Which methods should be used for solving linear regression?

  As a foundational set of algorithms in any machine learning toolbox, linear regression can be solved with a variety of approaches. Here, we discuss. with with code examples, four methods and demonstrate how they should be used.

  https://www.kdnuggets.com/2020/09/solving-linear-regression.html

• Showcasing the Benefits of Software Optimizations for AI Workloads on Intel® Xeon® Scalable Platforms

  The focus of this blog is to bring to light that continued software optimizations can boost performance not only for the latest platforms, but also for the current install base from prior generations. This means customers can continue to extract value from their current platform investments.

  https://www.kdnuggets.com/2020/09/showcasing-benefits-software-optimizations-ai-workloads-intel.html

• Microsoft’s DoWhy is a Cool Framework for Causal Inference

  Inspired by Judea Pearl’s do-calculus for causal inference, the open source framework provides a programmatic interface for popular causal inference methods.

  https://www.kdnuggets.com/2020/08/microsoft-dowhy-framework-causal-inference.html

• 4 ways to improve your TensorFlow model – key regularization techniques you need to know">4 ways to improve your TensorFlow model – key regularization techniques you need to know

  Regularization techniques are crucial for preventing your models from overfitting and enables them perform better on your validation and test sets. This guide provides a thorough overview with code of four key approaches you can use for regularization in TensorFlow.

  https://www.kdnuggets.com/2020/08/tensorflow-model-regularization-techniques.html

• Data Science Tools Illustrated Study Guides

  These data science tools illustrated guides are broken up into four distinct categories: data retrieval, data manipulation, data visualization, and engineering tips. Both online and PDF versions of these guides are available.

  https://www.kdnuggets.com/2020/08/data-science-tools-illustrated-study-guides.html

• Accelerated Natural Language Processing: A Free Course From Amazon

  Amazon's Machine Learning University is making its online courses available to the public, starting with this Accelerated Natural Language Processing offering.

  https://www.kdnuggets.com/2020/08/accelerated-nlp-free-amazon-machine-learning-university.html

• 3D Human Pose Estimation Experiments and Analysis

  In this article, we explore how 3D human pose estimation works based on our research and experiments, which were part of the analysis of applying human pose estimation in AI fitness coach applications.

  https://www.kdnuggets.com/2020/08/3d-human-pose-estimation-experiments-analysis.html

• Hypothesis Test for Real Problems

  Hypothesis tests are significant for evaluating answers to questions concerning samples of data.

  https://www.kdnuggets.com/2020/08/hypothesis-test-real-problems.html

• Going Beyond Superficial: Data Science MOOCs with Substance">Going Beyond Superficial: Data Science MOOCs with Substance

  Data science MOOCs are superficial. At least, a lot of them are. What are your options when looking for something more substantive?

  https://www.kdnuggets.com/2020/08/beyond-superficial-data-science-moocs-substance.html

• KDnuggets™ News 20:n31, Aug 12: Data Science Skills: Have vs Want: Vote in the New Poll; Netflix Polynote is a New Open Source Framework to Build Better Data Science Notebooks

  Vote in the new KDnuggets poll: which data science skills you have and which ones you want? Netflix is not only for movies - its Polynote is a new open source framework to build better data science notebooks; Learn about containerization of PySpark using Kubernetes; Read the findings from Data Scientist Job Market 2020 analysis; and Explore GPT-3 latest.

  https://www.kdnuggets.com/2020/n31.html

• Data Science Internship Interview Questions

  Data science is an attractive field because not only is it lucrative, but you can have opportunities to work on interesting projects, and you’re always learning new things. If you're trying to get started from the ground up, then review this guide to prepare for the interview essentials.

  https://www.kdnuggets.com/2020/08/data-science-internship-interview-questions.html

• Exploring GPT-3: A New Breakthrough in Language Generation

  GPT-3 is the largest natural language processing (NLP) transformer released to date, eclipsing the previous record, Microsoft Research’s Turing-NLG at 17B parameters, by about 10 times. This has resulted in an explosion of demos: some good, some bad, all interesting.

  https://www.kdnuggets.com/2020/08/exploring-gpt-3-breakthrough-language-generation.html

• Data Scientist Job Market 2020

  With an analysis of over a thousand Data Scientist job descriptions in the USA, check out the trends for 2020 and current expectations on new positions in the field, including credentials, experience, and programming languages.

  https://www.kdnuggets.com/2020/08/data-scientist-job-market-2020.html

• Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks">Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks

  The new notebook environment provides substantial improvements to streamline experimentation in machine learning workflows.

  https://www.kdnuggets.com/2020/08/netflix-polynote-open-source-framework-better-data-science-notebooks.html

• Know What Employers are Expecting for a Data Scientist Role in 2020">Know What Employers are Expecting for a Data Scientist Role in 2020

  The analysis is done from 1000+ recent Data scientist jobs, extracted from job portals using web scraping.

  https://www.kdnuggets.com/2020/08/employers-expecting-data-scientist-role-2020.html

• I have a joke about …">I have a joke about …

  I have a machine learning joke, but it is not performing as well on a new audience. We bring you a selection of the nerdy self-referential computer jokes that were popular on the web recently.

  https://www.kdnuggets.com/2020/08/joke-about.html