Author Archives: 365Data Science

Source Artificial Intelligence has long been in existence, and it finds myriads of uses across the different business sectors. Coming to some of its unconventional methods, then AI finds application in environmental monitoring. Yes, we all know that AI, ML or IoT have increased their presence in our life in different ways, but only aContinue reading “Environmental Monitoring System Using IoT AI and ML”

Many data science projects are launched with good intentions, but fail to deliver because the correct process is not understood. To achieve good performance and results in this work, the first steps must include clearly defining goals and outcomes, collecting data, and preparing and exploring the data. This is all about solving problems, which requiresContinue reading “First steps of a data science project”

Google is offering a new ML Engineer certificate, geared towards professionals who want to display their competency in topics like distributed model training and scaling to production. Is it worth it? Originally from KDnuggets https://ift.tt/2DhYZ3y source https://365datascience.weebly.com/the-best-data-science-blog-2020/why-you-should-get-googles-new-machine-learning-certificate

An easy guide to data pre-processing in Python; Monitoring Apache Spark with a better Spark UI; Computational Linear Algebra for Coders: the free course; Labelling data with Snorkel; Bayesian Statistics. Originally from KDnuggets https://ift.tt/336tGE0 source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-20n29-jul-29-easy-guide-to-data-preprocessing-in-python-building-a-better-spark-ui-computational-algebra-for-coders-the-free-course

Moving sensitive data to the Cloud introduces the possibility of exposing data teams to new levels of risk, making it challenging to manage and prepare sensitive data for data science and analytics. Join our live webinar, Automating Security & Privacy Controls for Data Science & BI, Aug 12 @ 1PM ET to learn how ImmutaContinue reading “Automating Security & Privacy Controls for Data Science & BI Webinar”

This curated collection of 5 natural language processing books attempts to cover a number of different aspects of the field, balancing the practical and the theoretical. Check out these 5 fantastic selections now in order to improve your NLP skills. Originally from KDnuggets https://ift.tt/3hDhrTc source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-fantastic-natural-language-processing-books

Source Microsoft Azure Machine Learning x Udacity — Lesson 2 Notes Detailed Notes for Machine Learning Foundation Course by Microsoft Azure & Udacity, 2020 on Lesson 2 — Introduction to Machine Learning What is Machine Learning? Machine learning is a data science technique used to extract patterns from data, allowing computers to identify related data, and forecast future outcomes, behaviors, and trends.Continue reading “Microsoft Azure Machine Learning x UdacityLesson 2 Notes”

Source Statistics Related Interview Questions Usually asked In Field of Data Science, Machine Learning, Deep Learning………. How You are Going to Fix the Missing Values in a DataSet? → Your Approach Should be to check Whether the Features in the dataset is Following a Normal (Symmetric) Distribution Curve or Skewed. if The Dataset is Skewed then weContinue reading “Statistics Interview Questions Usually asked In Field of Data Science Machine Learning Deep”

With more people being involved in online social networking every day, social media have become an indispensable part of marketing strategies for businesses of all kinds. According to the Global State of Digital Report, there were 4.388 billion internet users worldwide in 2019, and 79% of them were active social users. When used strategically, socialContinue reading “4 ways machine learning can support your social media marketing”

If you are interesting in becoming better at statistics and machine learning, then some time should be invested in diving deeper into Bayesian Statistics. While the topic is more advanced, applying these fundamentals to your work will advance your understanding and success as an ML expert. Originally from KDnuggets https://ift.tt/30XmkzF source https://365datascience.weebly.com/the-best-data-science-blog-2020/essential-resources-to-learn-bayesian-statistics